12-14 Months | 28+ Projects
7-8 Months | 14+ Projects
6-7 Months | 12+ Projects
4 Months | 40+ Projects
12-14 Months | 28+ Projects
7-8 Months | 14+ Projects
9-11 Months | 24+ Projects
7-8 Months | 14+ Projects
7-8 Months | 14+ Projects
6-7 Months | 12+ Projects
3-4 Months | 6+ Projects
2 Months | 10+ Projects
4 Months | 40+ Projects
7 Months | 45+ Projects
12-14 Months | 28+ Projects
7-8 Months | 14+ Projects
9-11 Months | 24+ Projects
7-8 Months | 14+ Projects
7-8 Months | 14+ Projects
6-7 Months | 12+ Projects
3-4 Months | 6+ Projects
2 Months | 10+ Projects
4 Months | 40+ Projects
7 Months | 45+ Projects
Trainers from IIT, NIT and Top MNCs
Trainers from IIT, NIT and Top MNC’s
The Advanced Data Science & Artificial Intelligence course is designed to equip you with comprehensive knowledge and skills in Data Analytics, Web Scraping, Data Science, Machine Learning, NLP, and Deep Learning using Python programming. Additionally, the program covers Database Management System for efficient data handling, as well as Data Visualization using Power BI & Tableau. You will also gain proficiency in using version control systems like GitHub and deploying models on cloud platforms. By the end of the course, you will have mastered essential Data Science tools and techniques using Python.
The Advanced Data Science & Artificial Intelligence course is designed to equip you with comprehensive knowledge and skills in Data Analytics, Web Scraping, Data Science, Machine Learning, NLP, and Deep Learning using Python programming. Additionally, the program covers Database Management System for efficient data handling, as well as Data Visualization using Power BI & Tableau. You will also gain proficiency in using version control systems like GitHub and deploying models on cloud platforms. By the end of the course, you will have mastered essential Data Science tools and techniques using Python.
Benefits of Advanced Data Science & Artificial Intelligence Course
The demand for Data Scientists in India is set to rise by 200% by 2026, making it a lucrative career option. India is the second highest recruiter of data science talent globally, and the industry is predicted to reach USD 119 billion by 2026 with 11 million job openings.
Dual Certification
Be in demand with Microsoft certification
Gain Competitive Edge with Real-World Work Experience
Gain Competitive Edge with Real-World Work Experience
Who This Program Is For?
Who This Program Is For?
Education
Tech-focused degree with strong academic performance.
Work experience
Open to all levels of experience
Career stage
Early to mid-career professionals seeking data expertise
Aspirations
Striving for data-driven excellence and strategic optimization.
Education
Tech-focused degree with strong academic performance.
Work experience
Open to all levels of experience
Career Stage
Early to mid-career professionals seeking data expertise
Aspirations
Striving for data-driven excellence and strategic optimization.
Harness the Influence of Our Extensive Industry Network
Syllabus | Advanced Data Science & Artificial Intelligence Course
Syllabus
At 1stepGrow, we provide an extensive and Advanced Data Science and Artificial Intelligence course. Our faculty and industry experts have designed a program that offers practical learning opportunities. With live interactive classes and real-world projects, you will immerse yourself in the world of data and AI. Additionally, we provide guaranteed job referrals upon course completion, giving you a competitive advantage in the job market.
At 1stepGrow, we provide an extensive and advanced Data Science and Artificial Intelligence course. Our faculty and industry experts have designed a program that offers practical learning opportunities. With live interactive classes and real-world projects, you will immerse yourself in the world of data and AI. Additionally, we provide guaranteed job referrals upon course completion, giving you a competitive advantage in the job market.
This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python skills, facilitating a deeper understanding and practical application throughout the course.
Module 1: Introduction To Data Science, Analytics & Artificial Intelligence
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub, a version control system, for efficient collaboration and project management. Additionally, you’ll harness LinkedIn‘s power for networking and career advancement.
Module 1: Git & GitHub (VCS)
Class Hands-On: Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
This Python course introduces fundamental to advanced concepts tailored for data science and AI applications. Learn Python step by step from basics to advanced. Learn all libraries, functions, and modules to perform data science projects by analyzing and building ML & AI models using Python.
Module 1: Core Python Programming
Project: Build a simple calculator
Module 2: Advanced Python Programming
Class Hands-on:
25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling
Module 3: Web Scraping using Python
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup
EDA Project (Create Insights using Data Analytics)
2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.
This course provides a comprehensive overview of statistical concepts and machine learning techniques, along with their practical applications. You will learn machine learning algorithms, explore various case studies to understand real-world applications and build models to reinforce your learning.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
Module 2: Machine Learning
Project:
Module 3: Advanced Machine Learning
Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM
Class Projects:
Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once Machine learning is completed, the Capstone Project will be released for the batch.
The Time Series Analysis course will help you learn how to model, forecast, and analyze time-based data that contains date and time parameters. These techniques are used for predictions in various industries. Eg. Stock Price Prediction, ECG Anomaly Detection, Earthquake Prediction, Inflation Rate Prediction, Migration Prediction, Rainfall Prediction, Internet Traffic Prediction, Energy Demand Forecasting, etc.
Module 1: Time-Series Data Analysis
Class Projects:
Tools Covered: SciKit Learn, Pandas, Matplotlib
The NLP specialization will help you gain experience in techniques such as; text preprocessing, sentiment analysis, and building text-based models. These concepts will further help us build Machine Learning & AI models like Grammarly, ChatGPT, and Alexa.
Module 1: NLP
Class Projects:
Tools Covered: NLTK, Spacy, BERT
Deep Learning, is a subset of machine learning that focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, in reinforcement Learning, you will learn to build a sequential model that interacts with the environment to achieve a goal by receiving real-time feedback.
Module 1: Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
Module 2: Reinforcement Learning
Class Projects:
In this unit, we’ll delve into computer vision for image analysis. We’ll explore image classification, object detection, and segmentation in computer vision using deep-learning architectures like CNNs.
Module 1: Computer Vision
Class Project:
Tools Used: Tensorflow, Keras, Open CV
In this unit, we’ll delve into generative AI and prompt engineering tools. Generative AI will introduce us to large language models, GANs, and autoregressive models for creating new content. At the same time, prompt engineering tools will help us craft effective prompts for guiding AI models, particularly language models like GPT.
Module 1: Generative AI and Large Language Models
Tools Covered: Open AI, BERT, Huggingface
Class Project:
Module 2: Prompt Engineering
ChatGPT: Prompt for text Generation (Natural Language Processing)
Dall E / Midjourney: Prompt for image Generation
Synthesia for Video Generation & Slides AI for PPT creation
Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI
Learn practically data mining, optimizing query performance, and ensuring data integrity on SQL. Advanced topics include NoSQL databases like MongoDB, distributed systems, and data warehousing, preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
This unit consists of two of the most prominently used tools for data visualization & analytics: Power BI and Tableau. You will learn to create interactive dashboards, reports, and visualizations to analyze and communicate insights effectively.
Module 1: Power BI
Class Project & Assignments:
Project 1: Education Institute’s student data analysis
Project 2: Sales Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
Module 2: Tableau
Class Project & Assignments:
Project 1: Supermarket data analysis
Project 2: Covid Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
– Deployment of Predictive model in Tableau
Tools Covered: Power BI, Tableau, Excel
Module 3: Excel for Analytics
In this unit, you will delve into two of the big data analytics tools Spark, Hadoop, and Kafka, the key components of modern data processing ecosystems. You will learn to harness Spark’s distributed computing power, Hadoop’s storage and processing capabilities, and Kafka’s real-time data streaming for scalable data processing & analysis.
Module 1: Apache Hadoop
Module 2: Apache Spark
Module 3: Apache Kafka
Tools Covered: Spark, Hadoop, Kafka
In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms. You’ll gain proficiency in deploying, scaling, and managing models in the cloud environments through practical exercises.
Module 1: AWS
Module 2: Azure
Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django
This unit includes MLOps, or Machine Learning Operations, the practice of streamlining and automating the lifecycle of machine learning models. You will learn MLOps using any of MLFlow, Kubeflow & TFX to integrate machine learning models into production environments efficiently and reliably.
Module 1: MLFlow
Module 2: Kubeflow
Module 3: TensorFlow Extended (TFX)
Tools Covered: MLFlow, Kubeflow, TFX
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints. Utilizing project management tools such as Asana, Trello, or Jira enhances efficiency in task management, collaboration, and tracking progress.
Module 1: Introduction to Project Management
Module 2: Agile & Scrum
Module 3: Jira
Tools Covered: Agile. Scrum, Jira, Kanban
Gate a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
This unit serves as a primer for data science, introducing key tools and concepts. It’s designed to equip non-programmers with foundational Python and math skills.
Module 1: Introduction To Data Science, Analytics & AI
Module 2: Fundamentals of Programming
Tools Covered: Python, Anaconda, Jupyter, Google Colab
Module 3: Fundamentals of Statistics
Note:
Module 2 and Module 3 of Unit 1 are specially designed for non-programmers to understand the basics of computer programming and math.
This unit provides an extensive roadmap for building a robust portfolio in data science. You’ll master GitHub for efficient collaboration and LinkedIn for networking and career advancement.
Module 1: Git & GitHub (VCS)
Class Hands-On:
Initiate, collaborate, and work on a real-time project
Tools Covered: Git, GitHub
Module 2: LinkedIn Profile building
This Python course is built to learn Python programming from fundamental to advanced concepts tailored for data science and AI applications.
Module 1: Core Python Programming
Project: Build a simple calculator
Module 2: Advanced Python Programming
Class Hands-on:
25+ programs/coding exercises on data types, loops, operators, functions, generators, file I/O, reg-ex, and exception handling
Module 3: Web Scraping using Python
Project: Scrape and Analyze Data from a Website (2-3 Projects)
Module 4: OOPs in Python
Module 5: Python For Data Analytics
Tools Covered: NumPy, Pandas, MatplotLib, Seaborn, Beautiful Soup
EDA Project (Create Insights using Data Analytics)
2 Full-Length Projects on Data Analytics using Pandas, MatplotLib & Seaborn to analyze Data to Gain Insights and Identify Patterns.
This course provides a comprehensive overview of statistical concepts and machine learning techniques, along with their practical applications.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
Module 2: Machine Learning
Project:
Module 3: Advanced Machine Learning
Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM
Class Projects:
Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once Machine learning is completed, the Capstone Project will be released for the batch.
The Time Series Analysis course will help you learn how to model, forecast, and analyze time-based data that contains date and time parameters.
Module 1: Time-Series Data Analysis
Class Projects:
Tools Covered: SciKit Learn, Pandas, Matplotlib
The NLP specialization will help you gain experience in techniques such as; text preprocessing, sentiment analysis, and building text-based models. These concepts will further help us build Machine Learning & AI models like Grammarly, ChatGPT, and Alexa.
Module 1: NLP
Class Projects:
Tools Covered: NLTK, Spacy, BERT
Deep Learning, is a subset of machine learning that focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, in reinforcement Learning, you will learn to build a sequential model that interacts with the environment to achieve a goal by receiving real-time feedback.
Module 1: Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
Module 2: Reinforcement Learning
Class Projects:
In this unit, we’ll delve into computer vision for image analysis. We’ll explore image classification, object detection, and segmentation in computer vision.
Module 1: Computer Vision
Class Project:
Tools Covered: Tensorflow, Keras, Open CV
In this unit, we’ll delve into generative AI and prompt engineering tools. Generative AI will introduce us to large language models, GANs, and autoregressive models for creating new content. At the same time, prompt engineering tools will help us craft effective prompts for guiding AI models.
Module 1: Generative AI and LLM
Tools Covered: Open AI, BERT, Huggingface
Class Project:
Module 2: Prompt Engineering
Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI
Learn practically data mining, optimizing query performance, and ensuring data integrity on SQL. Advanced topics include NoSQL databases like MongoDB, distributed systems, and data warehousing, preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
This unit consists of two of the most prominently used tools for data visualization & analytics: Power BI and Tableau. You will learn to create interactive dashboards, reports, and visualizations to analyze and communicate insights effectively.
Module 1: Power BI
Class Project & Assignments:
Project 1: Education Institute’s student data analysis
Project 2: Sales Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
Module 2: Tableau
Class Project & Assignments:
Project 1: Supermarket data analysis
Project 2: Covid Data Analysis
– Learn to visualize data to find patterns & insights using interactive charts
– Deployment of Predictive model in Tableau
Tools Covered: Power BI, Tableau, Excel
Module 3: Excel for Analytics
In this unit, you will delve into two of the big data analytics tools Spark, Hadoop, and Kafka, the key components of modern data processing ecosystems. You will learn to harness Spark’s distributed computing power, Hadoop’s storage and processing capabilities, and Kafka’s real-time data streaming for scalable data processing & analysis.
Module 1: Apache Hadoop
Module 2: Apache Spark
Module 3: Apache Kafka
Tools Covered: Spark, Hadoop, Kafka
In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms. You’ll gain proficiency in deploying, scaling, and managing models in the cloud environments through practical exercises.
Module 1: AWS
Module 2: Azure
Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django
This unit includes MLOps, or Machine Learning Operations, the practice of streamlining and automating the lifecycle of machine learning models. You will learn MLOps using any of MLFlow, Kubeflow & TFX to integrate machine learning models into production environments efficiently and reliably.
Module 1: MLFlow
Module 2: Kubeflow
Module 3: TensorFlow Extended (TFX)
Tools Covered: MLFlow, Kubeflow, TFX
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints. Utilizing project management tools such as Asana, Trello, or Jira enhances efficiency in task management, collaboration, and tracking progress.
Module 1: Introduction to Project Management
Module 2: Agile & Scrum
Module 3: Jira
Tools Covered: Agile. Scrum, Jira, Kanban
Industry Projects
Industry Projects
Build model that accurately predicts the stock market behaviour using time-series data and deep learning models to identify trends and irregularities. Combine models and introduce randomness to improve insights at the intersection of computational finance and financial econometrics.
Develop an early diagnosis system for Acute Lymphoblastic Leukaemia (ALL) using machine learning and data analysis techniques, aiming to improve patient outcomes through timely detection and intervention
Analyze Fitbit data to gain insights into users’ health and fitness patterns. Provide personalized recommendations to improve overall well-being by analyzing sleep, activity, heart rate, and other metrics. Utilize data visualization and statistics to present actionable information.
Create a Personalized Shopping Recommendation Engine. Analyze user data to enhance the shopping experience, discover relevant products, and improve overall satisfaction. Leverage advanced data science techniques to analyze customer behavior, history, and preferences.
Analyze customer reviews and social media sentiment to understand Sephora product sentiment. Gain insights into customer preferences, satisfaction, and improvement areas. Enhance offerings and develop effective marketing strategies based on data-driven insights.
Use machine learning and natural language processing techniques to analyze large datasets from websites to generate a comprehensive list of relevant keywords for optimizing search engine marketing campaigns.
Analyze data from cameras and sensors to monitor driver behavior, including eye and head movements and detect signs of drowsiness or distraction to provide real-time alerts that prevent accidents caused by driver fatigue.
Monitor and analyze equipment performance data from sensors, equipment logs, and historical maintenance records to identify potential issues, and proactively schedule maintenance activities to minimize downtime and improve operational efficiency.
Develop real-time computer vision for product image and video analysis, detecting defects, classifying products, and ensuring quality standards. Enables proactive quality monitoring, reduces inspection time, enhances product reliability, and lowers production costs.
Wide Range Of Tools & Modules
What makes us Unique?
Products in the markets are
One-size-fits-all program for both freshers and working professionals.
Lack of emphasis on hands-on projects and lack of customization for working professionals
Rigid doubt solving schedules with inadequate 1:1 guidance and support from mentors
Fixed schedules: may not accommodate the needs of working professionals
1stepGrow provides you with
Developed and delivered by industry experts to ensure relevance and confidence
Practical approach to solving real-world problems with expert guidance.
Personalized mentorship from industry experts to guide and support your learning
Personalized doubt-clearing sessions, batch flexibility, and interactive live sessions.
1stepGrow Data Science & Artificial Intelligence Course focuses on Focused Group Training with Live projects
Developed and delivered by industry experts to ensure relevance and confidence
Practical approach to solving real-world problems with expert guidance.
Personalized mentorship from industry experts to guide and support your learning
Personalized doubt-clearing sessions, batch flexibility, and interactive live sessions.
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
Flexible Resumption
Join live courses and receive support for three years, with access to multiple batches and instructors.
Class Recordings
Access recorded videos of your class, ensuring you never miss a class.
Personalized Doubt Clearing
Get individual doubt clearing sessions from experts.
Weekend Batch Availability
Specially scheduled batches to accommodate working professionals.
Lifetime Support and Access
Lifetime access to course assignments, notes, and videos with extended support.
Program Fee & Financing
Invest in your future with quality education
Invest in your future with quality education
Program Fee:
Multiple Payment Modes
Payment Partner
BFSI
Healthcare
Manufacturing
Energy, Oil & Gas
Supply Chain & Ops
E-commerce & Retail
Marketing
Automotive
Technology
Hospitality & Tourism
Real Estate
BFSI
Healthcare
Manufacturing
Energy, Oil & Gas
Supply Chain & Ops
E-commerce & Retail
Marketing
Automotive
Technology
Hospitality & Tourism
Real Estate
Get a chance to win Upto 25% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
Thanks to 1stepGrow team, I am a successful Data Scientist. Transitioning from a teacher to the Data Science field was challenging, but the support and real-time project experience provided by 1stepGrow during the COVID pandemic made a significant difference. I am grateful for the personalized training and guidance from Ravi and the team. Today, I am proud to be working as a Data Scientist at Shyena Tech Yarn.
Coming from a mechanical background, I enrolled in 1stepgrow's Data Science program. The mentors provided exceptional support, helping me understand the concepts. Their guidance was invaluable, leading me to secure a job even before completing the program. The personalized attention and focused learning approach allowed me to ask multiple doubts and receive proper guidance.
My experience with 1stepGrow was fantastic. Their exceptional support enabled me to transition to the Data Science team in my company. Through hands-on work in the IT domain, I gained a deep understanding of the practical aspects of being a Data Scientist. The journey was seamless, thanks to the real-world experience provided by 1stepGrow.
1stepGrow is an excellent training institute for Data Science. Despite being a startup, I opted for them due to their small batch size. The vibrant class environment and interactive trainers greatly enhanced my skills. The encouraging atmosphere allowed me to ask questions and actively participate. Within just 6 months, I achieved success as a Data Analyst. My journey with 1stepGrow was truly amazing.
Enrolling at 1stepGrow Academy has been a fantastic experience. Their knowledgeable and approachable tutors break down complex concepts into easy-to-understand explanations. Small class sizes ensure personalized attention, and the well-organized administration communicates promptly. This training helped me secure a promotion at J.P. Morgan. Overall, 1stepGrow Academy exceeded my expectations, and I highly recommend it for mastering essential corporate applications.
NEXT COHORTS DATES
Weekday Batch
(Mon-Fri)
Weekend Batch
(Sat-Sun)
NEXT COHORTS DATES
Weekday Batch (Mon-Fri)
Weekend Batch (Sat-Sun)
Learn More About Your Learning Options
The Advanced Data Science and Artificial Intelligence Course is designed to be beginner-friendly, starting from the basics. However, we recommend the course for students who have some technical exposure through their job roles or possess a degree such as B.E./B.Tech/BCA/MCA/M.Tech. Additionally, students should have a basic understanding of Applied Mathematics/Statistics.
The Advanced Data Science and Artificial Intelligence Course is a comprehensive program that covers various aspects of data science and artificial intelligence. Throughout the course, you will gain advanced knowledge and skills in areas such as:
Data science and Artificial Intelligence are closely related fields but have distinct focuses. Data science involves extracting insights and knowledge from large datasets through various techniques such as statistical analysis, data mining, and machine learning. On the other hand, artificial intelligence focuses on creating intelligent machines and systems capable of performing tasks that would typically require human intelligence, such as speech recognition, image processing, and decision-making.
Yes, individuals with a non-technical background can enroll in the Advance Data Science and Artificial Intelligence Course. While some basic technical knowledge and familiarity with programming concepts would be beneficial, the course is designed to accommodate learners from diverse backgrounds and equip them with the necessary skills to succeed in the field of data science and artificial intelligence.
If you lack eligibility for this program due to a lack of data exposure and still wish to learn Data Science, we offer a foundational course in Data Science & Machine Learning that can help you achieve your goal of learning Data Science and pursuing a career in the field.
We believe in providing quality training with personalized attention. To ensure a healthy and effective learning experience, we keep the batch size limited to a maximum of 15 students. This allows for better interaction with the trainers and facilitates a conducive learning environment.
Students enrolled in the Advance Data Science and Artificial Intelligence Course receive a 3-year subscription. This means they have access to live class support, mentorship from the institute, and job referrals for an extended period.
The online training program offers small focused group-based live training sessions that provide several benefits to students:
The duration of the Advanced Data Science and Artificial Intelligence Course is approximately 13 months (400 hours), which includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends, with the weekday batch spanning 11 months (Monday to Friday – 2 hours/day) and the weekend batch lasting 13 months (Saturday & Sunday – 4 hours/day).
Instructor-led online training refers to an interactive mode of training where students and trainers participate in live sessions. This training model allows for active learning and facilitates interaction between the students and the trainer, creating a dynamic and engaging learning environment.
We understand that missing a live session is sometimes unavoidable. In such cases, you can access the recorded session, which will be made available in your learning portal. This way, you can catch up on the missed content and continue with your learning at your convenience.
Smaller batch size helps in a conducive learning environment providing students a platform to resolve their queries within the session. Also,the trainer can progress in the course at the required pace with solving queries for the students.
Yes, students are encouraged to ask questions during the live training sessions. The objective of conducting live online classes is to provide students with opportunities to interact with the trainer and clarify doubts as they arise. To ensure effective interaction, we limit the class strength to a maximum of 15 students per batch.
Yes, the Advance Data Science and Artificial Intelligence Course covers cloud deployment technologies such as AWS, Heroku, and Azure, along with big data technologies like Hadoop and Spark. These topics are included to provide you with a comprehensive skill set that aligns with industry requirements and enables you to work with large-scale data and cloud-based environments.
The Advance Data Science and Artificial Intelligence Course equips you with the essential knowledge, skills, and practical experience required to excel in the field of data science and artificial intelligence. With the increasing demand for professionals in these domains, this course will enhance your career prospects by making you proficient in various data science techniques, tools, and methodologies.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the course. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, you will have lifetime access to the course materials, including recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials, including recorded sessions, assignments, and course materials, are accessible through our online learning platform, which is designed to be mobile-friendly. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that scheduling conflicts may arise, and you may need to switch between batches. If such a situation arises, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Advance Data Science and Artificial Intelligence Course, you will receive comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.
Absolutely! The Advance Data Science and Artificial Intelligence Course places a strong emphasis on practical training. You will work on real-world projects and gain hands-on experience in applying data science and artificial intelligence techniques to solve complex problems. This practical exposure will enhance your skills and build your confidence in working on industry-relevant projects.
Real-time projects in the course are based on industry data, although the names of brands and other sensitive information may be changed to protect confidentiality. These projects allow students to apply concepts and algorithms to actual datasets, helping them gain practical experience. The course includes 24 real-time industry projects covering various scenarios, providing students with opportunities to practice the tools and techniques learned.
Domain specializations involve industry-specific training using capstone projects and mentorship based on industry-wide data and practices. These projects are sourced from different industries, and mentors assist students in understanding the projects within the context of specific domains. Domain specializations enhance students’ knowledge and increase their chances of clearing interviews.
The program includes up to 4 end-to-end Capstone projects. These projects allow students to apply their knowledge and gain practical experience by working on real-world scenarios.
Project experience involves working on industry projects related to domain specializations. Students work in groups, with a mentor assigned to each group. On successful completion of the project, it is assessed by our institute and our partner company. If the project meets the required standards, we issue a project experience certificate in collaboration with our partner company.
At 1stepGrow, we provide specialized mentors for each subject to ensure that queries related to different subjects can be resolved effectively. If a batch is not satisfied with a mentor’s training method, they can raise the concern on the student forum, and the management will resolve the issue by assigning a different mentor to the batch.
Yes, you will have access to industry experts and mentors throughout the Advance Data Science and Artificial Intelligence Course. Our experienced instructors, who have practical industry knowledge, will guide you and provide mentorship, ensuring that you receive expert guidance and insights into the field.
Yes, we have a dedicated community forum where students can interact, collaborate, and discuss their queries and projects. This forum provides a platform for peer-to-peer learning, sharing of ideas, and networking with fellow learners, enhancing your overall learning experience.
We provide a student forum where students can connect with other students and trainers. If you encounter doubts or errors while practicing, you can post your queries on the forum and receive answers from trainers and fellow students.
The Advance Data Science and Artificial Intelligence Course includes everyday doubt-solving sessions to help students resolve their queries within the class. Additionally, doubt-solving sessions are conducted at the end of every module to ensure comprehensive understanding of the topics.
The Job Assistance program is a crucial part of the training program. We provide job assistance to our students, helping them pursue their dream jobs in the market. The Job Assistance program includes the following four steps:
Mock interviews are conducted online via video mode, and feedback is provided within a week. Students receive the recorded video of the interview, which helps them identify areas for improvement in both soft skills and technical skills. In the Advance Data Science and Artificial Intelligence Course, students are eligible for up to 3 mock interviews.
Yes, we provide comprehensive job assistance to our students after they successfully complete the Advance Data Science and Artificial Intelligence Course. Our dedicated placement cell assists in resume building, interview preparation, and connects students with relevant job opportunities in leading organizations. We strive to support our students in their career transition and help them secure rewarding positions in the industry.
We offer dedicated placement assistance by referring our students’ profiles to our partnered consultancies and companies. A student of the Advance Data Science and Artificial Intelligence Course is eligible for unlimited job referrals for the entire subscription period of the course.
To be eligible for job assistance from 1stepGrow, you should fulfill the following criteria:
Yes, upon successfully completing the course, you will be awarded a Course Completion Certificate from 1stepGrow.
Yes, we provide academic certifications that validate students’ knowledge and skills. We are partnered with Microsoft, and you will receive training for the Microsoft AI certification. You will have an opportunity to attempt the certification test, and upon passing, you will be awarded a globally recognized AI certificate by Microsoft.
Yes, by working on domain-specialized industry projects, you will have the opportunity to gain project experience. Upon successful completion of the project, you will be awarded a Project Experience Certificate by our partnered company.
As a college student or fresher, an internship certification holds significant value. We provide opportunities for our students to work on industry projects, which can help you gain recognition for an internship.
As an on-job professional, an internship certification may not be relevant to your profile. We offer industry projects in the program, allowing you to gain project experience from reputable companies. This project experience certification is more suitable for professionals like you and can contribute to your career growth.
A project experience certification from a company holds significant value as it validates your practical skills and demonstrates your ability to apply knowledge in real-world scenarios.
The total fees for advanced data science and artificial intelligence course is INR 1,09,000/- + 18% GST
Yes, we offer the option to pay the fees in installments through a no-cost EMI option. You can choose to pay INR 7,146 per month for a 12-month EMI. We also provide an interest-free loan option, where you can submit your Aadhar, PAN, 3-month salary slip, and other required documents to our banking partner.
We accept various payment methods, including:
Yes, we understand the financial considerations of our students and offer installment options for course fee payment. You can contact our admissions team to discuss the available payment plans and choose the one that best suits your needs.
1stepGrow offers a 15-20% scholarship for early-bird registrations. Our counselors will inform you if an early bird discount is available for the course.
Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.
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The Advanced Data Science and Artificial Intelligence Course is designed to be beginner-friendly, starting from the basics. However, we recommend the course for students who have some technical exposure through their job roles or possess a degree such as B.E./B.Tech/BCA/MCA/M.Tech. Additionally, students should have a basic understanding of Applied Mathematics/Statistics.
The Advanced Data Science and Artificial Intelligence Course is a comprehensive program that covers various aspects of data science and artificial intelligence. Throughout the course, you will gain advanced knowledge and skills in areas such as:
Data science and artificial intelligence are closely related fields but have distinct focuses. Data science involves extracting insights and knowledge from large datasets through various techniques such as statistical analysis, data mining, and machine learning. On the other hand, artificial intelligence focuses on creating intelligent machines and systems capable of performing tasks that would typically require human intelligence, such as speech recognition, image processing, and decision-making.
Yes, individuals with a non-technical background can enroll in the Advance Data Science and Artificial Intelligence Course. While some basic technical knowledge and familiarity with programming concepts would be beneficial, the course is designed to accommodate learners from diverse backgrounds and equip them with the necessary skills to succeed in the field of data science and artificial intelligence.
If you lack eligibility for this program due to a lack of data exposure and still wish to learn Data Science, we offer a foundational course in Data Science & Machine Learning that can help you achieve your goal of learning Data Science and pursuing a career in the field.
We believe in providing quality training with personalized attention. To ensure a healthy and effective learning experience, we keep the batch size limited to a maximum of 15 students. This allows for better interaction with the trainers and facilitates a conducive learning environment.
Students enrolled in the Advance Data Science and Artificial Intelligence Course receive a 3-year subscription. This means they have access to live class support, mentorship from the institute, and job referrals for an extended period.
The online training program offers small focused group-based live training sessions that provide several benefits to students:
The duration of the Advanced Data Science and Artificial Intelligence Course is approximately 13 months (400 hours), which includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends, with the weekday batch spanning 11 months (Monday to Friday – 2 hours/day) and the weekend batch lasting 13 months (Saturday & Sunday – 4 hours/day).
Instructor-led online training refers to an interactive mode of training where students and trainers participate in live sessions. This training model allows for active learning and facilitates interaction between the students and the trainer, creating a dynamic and engaging learning environment.
We understand that missing a live session is sometimes unavoidable. In such cases, you can access the recorded session, which will be made available in your learning portal. This way, you can catch up on the missed content and continue with your learning at your convenience.
Smaller batch size helps in a conducive learning environment providing students a platform to resolve their queries within the session. Also,the trainer can progress in the course at the required pace with solving queries for the students.
Yes, students are encouraged to ask questions during the live training sessions. The objective of conducting live online classes is to provide students with opportunities to interact with the trainer and clarify doubts as they arise. To ensure effective interaction, we limit the class strength to a maximum of 15 students per batch.
Yes, the Advance Data Science and Artificial Intelligence Course covers cloud deployment technologies such as AWS, Heroku, and Azure, along with big data technologies like Hadoop and Spark. These topics are included to provide you with a comprehensive skill set that aligns with industry requirements and enables you to work with large-scale data and cloud-based environments.
The Advance Data Science and Artificial Intelligence Course equips you with the essential knowledge, skills, and practical experience required to excel in the field of data science and artificial intelligence. With the increasing demand for professionals in these domains, this course will enhance your career prospects by making you proficient in various data science techniques, tools, and methodologies.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the course. These evaluations are designed to ensure that you have a strong grasp of the topics covered and to help you identify areas that may require additional focus.
Yes, you will have lifetime access to the course materials, including recordings of the live sessions, class notes, assignments, and other learning resources. This ensures that you can refer back to the content whenever you need to revise or revisit any topic covered during the course.
Yes, the learning materials, including recorded sessions, assignments, and course materials, are accessible through our online learning platform, which is designed to be mobile-friendly. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that scheduling conflicts may arise, and you may need to switch between batches. If such a situation arises, you can contact our support team, and they will assist you in making the necessary batch transfer arrangements, depending on the availability of seats in the desired batch.
During the Advance Data Science and Artificial Intelligence Course, you will receive comprehensive support from our team. This includes live class support, doubt-solving sessions, discussion forums, mentorship, and access to the learning materials. Our aim is to ensure that you have a smooth learning journey and that all your queries and concerns are addressed promptly.
Absolutely! The Advance Data Science and Artificial Intelligence Course places a strong emphasis on practical training. You will work on real-world projects and gain hands-on experience in applying data science and artificial intelligence techniques to solve complex problems. This practical exposure will enhance your skills and build your confidence in working on industry-relevant projects.
Real-time projects in the course are based on industry data, although the names of brands and other sensitive information may be changed to protect confidentiality. These projects allow students to apply concepts and algorithms to actual datasets, helping them gain practical experience. The course includes 24 real-time industry projects covering various scenarios, providing students with opportunities to practice the tools and techniques learned.
Domain specializations involve industry-specific training using capstone projects and mentorship based on industry-wide data and practices. These projects are sourced from different industries, and mentors assist students in understanding the projects within the context of specific domains. Domain specializations enhance students’ knowledge and increase their chances of clearing interviews.
The program includes up to 4 end-to-end Capstone projects. These projects allow students to apply their knowledge and gain practical experience by working on real-world scenarios.
Project experience involves working on industry projects related to domain specializations. Students work in groups, with a mentor assigned to each group. On successful completion of the project, it is assessed by our institute and our partner company. If the project meets the required standards, we issue a project experience certificate in collaboration with our partner company.
At 1stepGrow, we provide specialized mentors for each subject to ensure that queries related to different subjects can be resolved effectively. If a batch is not satisfied with a mentor’s training method, they can raise the concern on the student forum, and the management will resolve the issue by assigning a different mentor to the batch.
Yes, you will have access to industry experts and mentors throughout the Advance Data Science and Artificial Intelligence Course. Our experienced instructors, who have practical industry knowledge, will guide you and provide mentorship, ensuring that you receive expert guidance and insights into the field.
Yes, we have a dedicated community forum where students can interact, collaborate, and discuss their queries and projects. This forum provides a platform for peer-to-peer learning, sharing of ideas, and networking with fellow learners, enhancing your overall learning experience.
We provide a student forum where students can connect with other students and trainers. If you encounter doubts or errors while practicing, you can post your queries on the forum and receive answers from trainers and fellow students.
The Advance Data Science and Artificial Intelligence Course includes everyday doubt-solving sessions to help students resolve their queries within the class. Additionally, doubt-solving sessions are conducted at the end of every module to ensure comprehensive understanding of the topics.
The Job Assistance program is a crucial part of the training program. We provide job assistance to our students, helping them pursue their dream jobs in the market. The Job Assistance program includes the following four steps:
Mock interviews are conducted online via video mode, and feedback is provided within a week. Students receive the recorded video of the interview, which helps them identify areas for improvement in both soft skills and technical skills. In the Advance Data Science and Artificial Intelligence Course, students are eligible for up to 3 mock interviews.
Yes, we provide comprehensive job assistance to our students after they successfully complete the Advance Data Science and Artificial Intelligence Course. Our dedicated placement cell assists in resume building, interview preparation, and connects students with relevant job opportunities in leading organizations. We strive to support our students in their career transition and help them secure rewarding positions in the industry.
We offer dedicated placement assistance by referring our students’ profiles to our partnered consultancies and companies. A student of the Advance Data Science and Artificial Intelligence Course is eligible for unlimited job referrals for the entire subscription period of the course.
To be eligible for job assistance from 1stepGrow, you should fulfill the following criteria:
Yes, upon successfully completing the course, you will be awarded a Course Completion Certificate from 1stepGrow.
Yes, we provide academic certifications that validate students’ knowledge and skills. We are partnered with Microsoft, and you will receive training for the Microsoft AI certification. You will have an opportunity to attempt the certification test, and upon passing, you will be awarded a globally recognized AI certificate by Microsoft.
Yes, by working on domain-specialized industry projects, you will have the opportunity to gain project experience. Upon successful completion of the project, you will be awarded a Project Experience Certificate by our partnered company.
As a college student or fresher, an internship certification holds significant value. We provide opportunities for our students to work on industry projects, which can help you gain recognition for an internship.
As an on-job professional, an internship certification may not be relevant to your profile. We offer industry projects in the program, allowing you to gain project experience from reputable companies. This project experience certification is more suitable for professionals like you and can contribute to your career growth.
A project experience certification from a company holds significant value as it validates your practical skills and demonstrates your ability to apply knowledge in real-world scenarios.
The total fees for advanced data science and artificial intelligence course is INR 1,09,000/- + 18% GST
Yes, we offer the option to pay the fees in installments through a no-cost EMI option. You can choose to pay INR 7,146 per month for a 12-month EMI. We also provide an interest-free loan option, where you can submit your Aadhar, PAN, 3-month salary slip, and other required documents to our banking partner.
We accept various payment methods, including:
Yes, we understand the financial considerations of our students and offer installment options for course fee payment. You can contact our admissions team to discuss the available payment plans and choose the one that best suits your needs.
1stepGrow offers a 15-20% scholarship for early-bird registrations. Our counselors will inform you if an early bird discount is available for the course.
Group discounts are available to promote ease in program fees. The discount applies to all members of a group who join the course together. For a group of 2, there is a 5% extra discount, and for a group of 3 or more, there is a 10% extra discount.
Elevate your career with our courses – gain the skills and knowledge that will set you apart and propel you toward success. Check your eligibility now and enroll today. Let’s make your career dreams a reality.
We provide online certification in Data Science and AI, Digital Marketing, Data Analytics with a job guarantee program. For more information, contact us today!
Courses
1stepGrow
Anaconda | Jupyter Notebook | Git & GitHub (Version Control Systems) | Python Programming Language | R Programming Langauage | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | Deep Learning | Neural Networks | Computer Vision | Reinforcement Learning | ANN | CNN | RNN | LSTM | Facebook Prophet | SQL | MongoDB | Advance Excel for Data Science | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Science Capstone Projects | ML Capstone Projects | AI Capstone Projects | Domain Training | Business Analytics
WordPress | Elementor | On-Page SEO | Off-Page SEO | Technical SEO | Content SEO | SEM | PPC | Social Media Marketing | Email Marketing | Inbound Marketing | Web Analytics | Facebook Marketing | Mobile App Marketing | Content Marketing | YouTube Marketing | Google My Business (GMB) | CRM | Affiliate Marketing | Influencer Marketing | WordPress Website Development | AI in Digital Marketing | Portfolio Creation for Digital Marketing profile | Digital Marketing Capstone Projects
Jupyter Notebook | Git & GitHub | Python | Linear Algebra & Statistics | ANOVA | Hypothesis Testing | Machine Learning | Data Cleaning | Data Wrangling | Feature Engineering | Exploratory Data Analytics (EDA) | ML Algorithms | Linear Regression | Logistic Regression | Decision Tree | Random Forest | Bagging & Boosting | PCA | SVM | Time Series Analysis | Natural Language Processing (NLP) | NLTK | SQL | MongoDB | Advance Excel for Data Science | Alteryx | BI Tools | Tableau | Power BI | Big Data | Hadoop | Apache Spark | Azure Datalake | Cloud Deployment | AWS | GCP | AGILE & SCRUM | Data Analytics Capstone Projects
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