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
Our Data Science and Machine Learning course provides extensive training in Python programming, covering Data Analytics, Web Scraping, Machine Learning, NLP, and Deep Learning. You’ll also learn Database Management System, Data Visualization with Power BI & Tableau, and version control with GitHub. Gain comprehensive knowledge and expertise in essential Data Science tools and techniques using Python through this course.
Our Data Science and Machine Learning course provides extensive training in Python programming, covering Data Analytics, Web Scraping, Machine Learning, NLP, and Deep Learning. You’ll also learn Database Management System, Data Visualization with Power BI & Tableau, and version control with GitHub. Gain comprehensive knowledge and expertise in essential Data Science tools and techniques using Python through this course.
Benefits
The demand for data science in India is experiencing rapid growth, projected to increase by 200% by 2026. This surge presents a lucrative and appealing career option. Moreover, India holds the second position globally in recruiting data science talent, with the industry expected to reach USD 119 billion by 2026, generating a remarkable 11 million job openings.
Dual Certification
Be in demand with Microsoft certification
Gain advantage through real-world experience
GAIN ADVANTAGE THROUGH REAL-WORLD EXPERIENCE
Who This Program Is For?
Who This Program Is For?
Bachelor degree with good academic performance
Open to professionals with non-programming background
Early to mid-career professionals seeking data expertise
Striving for data-driven excellence and strategic optimization
Bachelor degree with good academic performance
Open to professionals with non-programming background
Early to mid-career professionals seeking data expertise
Striving for data-driven excellence and strategic optimization
Harness our influential industry network
Syllabus
Syllabus
1stepGrow offers a meticulously designed Data Science and Machine Learning course, providing hands-on learning opportunities through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire practical experience and gain a competitive edge in the dynamic field of data and AI. Immerse yourself in this comprehensive program developed by industry experts to enhance your skills and knowledge in the industry..
1stepGrow offers a meticulously designed Data Science and Machine Learning course, providing hands-on learning opportunities through real-world projects and interactive live classes. With the assurance of job referrals, you can acquire practical experience and gain a competitive edge in the dynamic field of data and AI. Immerse yourself in this comprehensive program developed by industry experts to enhance your skills and knowledge in the industry..
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 & Machine Learning
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.
Learn practically data mining, using SQL and NoSQL databases like MongoDB. Data visualization and analytics using Power BI & Tableau and big data analytics using Hadoop preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
Module 3: 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 4: 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 5: Excel for Analytics
Module 6: Apache Hadoop – Big Data Analytics
Tools Covered: Hadoop, Pig, Hive, HBase, Yarn MapReduce
This course provides a comprehensive overview of statistical concepts for analytics & machine learning techniques with their practical applications.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
You will learn machine learning algorithms, and model building from scratch to advance exploring various case studies to practice on real-world applications to reinforce your learning.
Module 1: Machine Learning
Project:
Module 2: 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.
Module 3: 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, focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data. On the other hand, Prompt engineering is an act of engineering a suitable output with an efficient prompt on Generative AI tools like ChatGPT.
Module 1: Introduction to Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
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
In this cloud deployment unit, you will learn to deploy machine learning 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
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 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.
Learn practically data mining, using SQL and NoSQL databases like MongoDB. Data visualization and analytics using Power BI & Tableau and big data analytics using Hadoop preparing students for diverse data roles.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: MongoDB
Tools Covered: MySQL, SQL Server, MongoDB
Module 3: 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 4: 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 5: Excel for Analytics
Module 6: Apache Hadoop – Big Data Analytics
Tools Covered: Hadoop, Pig, Hive, HBase, Yarn MapReduce
This course provides a comprehensive overview of statistical concepts for analytics & machine learning techniques with their practical applications.
Module 1: Statistics & Probability
Class Hands-on:
Problem-solving for central tendency, ANOVA, central limit theorem & hypothesis testing Case study
You will learn machine learning algorithms, and model building from scratch to advance exploring various case studies to practice on real-world applications to reinforce your learning.
Module 1: Machine Learning
Project:
Module 2: Advanced Machine Learning
Tools Covered: Pandas, Matplotlib, Sk Learn, LightGBM
Class Projects:
Module 3: Time-Series Data Analysis
Class Projects:
Tools Covered: SciKit Learn, Pandas, Matplotlib
Note: All Machine Learning Algorithms will be covered in depth with real-time projects & case studies for each algorithm. Once this module is completed, the Capstone Project will be released for the batch.
NLP Specialization will help you on projects like sentiment analysis and other text based projects.
Module 1: NLP
Class Projects:
Tools Covered: NLTK, Spacy, BERT
Deep Learning, focuses on training neural networks to build a model by studying hierarchical patterns and features from the input data.
Module 1: Artificial Neural Network
Module 1: Introduction to Deep Learning
Class Projects
Tools Covered: Tensorflow, Keras, PyTorch
Module 2: Prompt Engineering
Tools Covered: ChatGPT, Midjourney, Dall E, MS Copilot, Synthesia, Invideo AI, Slides AI
In In this cloud deployment unit, you will learn to deploy machine learning and AI models using AWS and Azure, two leading cloud platforms.
Module 1: AWS
Module 2: Azure
Tools Covered: AWS, EC2, S3, ECS, Sagemaker, Lambda, Azure, Azure ML, Flask, Django
Industry Projects
Industry Projects
Gain insights into public sentiment on financial news through sentiment analysis, aiding informed investment decisions. Apply data mining techniques to correlate news topics and exchanges with stock price movements for accurate short-term predictions in algorithmic trading strategies.
Perform a clinical trial project using a dataset on medicines’ usage, side effects, and substitutes. Analyze the effectiveness of different medications, identify potential side effects, and explore alternative treatment options. Apply statistical analysis and data visualization techniques to derive meaningful insights for improving patient care and optimizing medication strategies.
Leverage advanced analytics and machine learning techniques to analyze and interpret large datasets related to training programs at Crossfit. Examine various factors such as customers demographics, learning outcomes, instructional methods, and feedback and identify patterns, correlations, and insights that can inform evidence-based decision-making in designing and improving training programs.
Analyze various factors of student such as student demographics, past academic records, and engagement indicators to predict student performance that can provide personalized interventions for academic success using data science and machine learning techniques
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.
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.
Analyze historical load data, weather patterns, and other factors to accurately predict electricity demand that helps in planning energy distribution optimally. The project will help in planning resources, manage peak loads, and enhance overall energy efficiency.
Build a machine learning model to predict fares based on historical trip data factors like distance, duration, route, climate, time of travel, traffic conditions, demand-supply dynamics and surge pricing etc. The model should provide users with accurate fare estimates before confirming a ride.
Provide real-time insights and credibility ratings for news sources and articles by detecing the credibility of articles, social media posts, and online content using natural language processing (NLP) and machine learning algorithms. The tool should be able to distinguish between reliable and misleading information.
Wide Range Of Tools & Modules
What makes us Unique?
Generic program for freshers and working professionals.
Lack of schedule flexibility and alternative batch options.
Insufficient practical knowledge and no customization for professionals.
Fixed schedules that don't accommodate working professionals' needs.
Tailored by experts for industry relevance and confidence.
Practical approach to solving real-world problems with expert guidance.
Developed and delivered by top-tier industry experts for relevance and confidence.
Personalized doubt-clearing sessions, batch flexibility, and interactive live sessions.
Tailored by experts for industry relevance and confidence.
Practical approach to solving real-world problems with expert guidance.
Developed and delivered by top-tier industry experts for relevance and confidence.
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
Join live courses with two years of support and the freedom to switch between batches and instructors.
Access recorded classes for convenient review of missed sessions.
Receive personalized one-on-one doubt-clearing sessions addressing your specific questions and concerns.
Specially scheduled batches to accommodate working professionals.
Program Fee & Financing
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 Data Science and Machine Learning Course is specifically designed for non-programmers and individuals from non-technical backgrounds. The course is beginner-friendly, starting from the basics, and is open to students with diverse backgrounds.
We offer two courses in the Data Science program:
Yes, this program is tailored for non-programmers looking to excel in the field of data science and machine learning. It is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.
Our Data Science and Machine Learning Course focuses on providing high-quality training with a personalized touch. To ensure an optimal learning experience and encourage regular doubt-solving sessions, we maintain small batch sizes of up to 15 students. This enables mentors to provide individualized support and fosters interactive learning among participants.
Students enrolled in our Data Science and Machine Learning Course receive a 2-year subscription. This entitles them to ongoing access to live class support, mentorship from the institute, and job referrals for the duration of the subscription.
The online training program for the Data Science and Machine Learning Course provides students with several advantages:
The Data Science and Machine Learning Course has two options. The foundation data science and machine learning course has a duration of 4 months (120 hours), while the foundation PLUS data science and machine learning program lasts for 7 months (240 hours). Both options include live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch is held from Monday to Friday for 2 hours per day, and the weekend batch takes place on Saturdays and Sundays for 3.5 hours per day.
In the Data Science and Machine Learning Course, the instructor-led online training follows a structured format. Students engage in live sessions conducted by experienced trainers, allowing them to actively participate and interact with the instructor and peers. This training methodology facilitates the learning of foundational data science and machine learning concepts through practical exercises and real-world applications.
If you missed a live session in the Data Science and Machine Learning Course, there’s no need to worry. The instructor-led online training offers recorded sessions that you can access afterwards. This allows you to catch up on the missed content and stay on track with the course curriculum, ensuring that you don’t miss out on any valuable learning opportunities.
In the Data Science and Machine Learning Course, a smaller batch size plays a crucial role in improving the learning process. With a limited number of students, each individual can actively participate and have their questions addressed during the session. The trainer can devote ample time to explain concepts and ensure a thorough understanding of the course material.
Yes, students are encouraged to actively participate and ask questions during the live training sessions in the Data Science and Machine Learning Course. Our goal is to foster a collaborative learning environment, enabling students to engage with the trainer and seek clarification on any uncertainties. To facilitate effective interaction, we maintain small class sizes with a maximum of 15 students per batch.
The Data Science and Machine Learning Course builds a solid career foundation. Master concepts, statistical techniques, and programming skills in Python and SQL. Gain proficiency in data science libraries and frameworks. Unlock career prospects in finance, healthcare, e-commerce, and more by making data-driven decisions.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Data Science and Machine Learning 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, upon completing the Data Science and Machine Learning Course, you will receive lifetime access to the course materials. This includes 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.
Answer: Yes, the learning materials for the Data Science and Machine Learning Course for Managers, including recorded sessions, assignments, and course materials, are accessible through our online learning platform (LMS). This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that you may need to switch between batches if you miss an entire module or with any work commitment. If such a situation arises during the Data Science and Machine Learning Course, 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 Data Science and Machine Learning Course, you can expect 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 Data Science and Machine Learning Course emphasizes practical training to complement theoretical learning. Through practical exercises and real-world applications, you’ll develop the skills to extract insights from data and build predictive models. This hands-on experience will equip you with the necessary expertise to tackle data-driven challenges effectively.
Real-time projects in the Data Science and Machine Learning Course are based on industry data (with confidentiality protected) and offer students the opportunity to apply concepts and algorithms to actual datasets. These projects enhance the learning experience by providing practical exposure and allowing students to develop their skills in data science and machine learning. With 12 industry projects included in the course, students can gain hands-on experience and practice the techniques learned.
Answer: Domain specializations is part of Data Science and Machine Learning Course that provide industry-specific training through capstone projects and mentorship. These projects are sourced from diverse domains, allowing students to gain practical experience and apply data science and machine learning concepts in real-world scenarios. Domain specializations benefit students by deepening their understanding of data science in specific industries, preparing them for domain-specific challenges, and increasing their employability in the field of data science and machine learning.
The Data Science and Machine Learning Course includes 1 end-to-end Capstone projects. These projects provide students with the opportunity to apply their knowledge and gain practical experience by working on real-world scenarios in the domain of data science and machine learning.
Certainly! The Data Science and Machine Learning Course ensures that you have access to industry experts and mentors. These knowledgeable professionals will be there to support you, offer valuable insights, and provide mentorship as you dive into the fundamentals of data science and machine learning.
Yes! The Data Science and Machine Learning Course offers a community forum designed for students to interact and collaborate. Within this forum, you can engage in discussions, seek clarification on concepts, and work together on projects. It serves as a platform to connect with fellow learners, exchange ideas, and enhance your understanding of data science and machine learning foundations.
To address your queries outside the class, we provide a student forum exclusively for participants of the Data Science and Machine Learning Course. If you have any doubts or encounter difficulties while practicing, you can post your queries on the forum. Our trainers and fellow students actively participate on the forum, offering their expertise and insights to help you find solutions.
In the Data Science and Machine Learning Course, we understand the importance of resolving doubts and ensuring a strong foundation. Therefore, we conduct doubt-solving sessions within the class to address any questions or uncertainties that arise during the course. These sessions provide an opportunity for participants to seek clarification and gain a deeper understanding of the concepts covered.
The fees for the Data Science and Machine Learning course is INR 79,000/- + 18% GST.
The different payment methods accepted by us are:
Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 5179/month for a 12-month EMI (Foundation Data Science and Machine Learning Course) and INR 5,890/month for a 12-month EMI ( Data Science and Machine Learning Course). You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking parner.
Yes! We provide installment options for course fee payment in the Data Science and Machine Learning Course. We understand that managing course fees is important, and we aim to support our students financially. You can connect with our admissions team to discuss the available payment plans and select the one that aligns with your financial needs.
1stepGrow offers 15 – 20% scholarship on early-birds. 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.
The Job Assistance program in the Data Science and Machine Learning Course is designed to help participants kick-start their careers in the field of data science and machine learning. Through this program, we provide job search support, resume building guidance, interview preparation, and networking opportunities. Our goal is to equip participants with the necessary skills and resources to secure job positions in the dynamic and rapidly growing field of data science and machine learning.
Our job assistance program is a four step program:
The mock interviews in the Data Science and Machine Learning Course are conducted online via video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video of the interview, you can identify areas for improvement in both soft skills and technical skills. This course offers up to 2 mock interviews.
Yes, we provide job assistance to students who have successfully completed the Data Science and Machine Learning Course. Our dedicated placement cell assists students in crafting effective resumes, preparing for interviews, and connects them with suitable job opportunities in the data science and machine learning domain. We are committed to helping our students achieve their career goals in this dynamic field.
Our Data Science and Machine Learning Course offers job referral assistance to our students until the end of the subscription period. We connect you with our network of partner companies and consultancies, increasing your chances of finding suitable job opportunities in the data science and machine learning field.
To be eligible for job assistance from 1stepGrow, you need to fulfill certain requirements. These include successfully completing all assessment tests with a score of 70% or higher, submitting assignments on time, completing real-time projects, and Capstone project.
Yes, upon successfully completing the Data Science and Machine Learning Course, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in data science and machine learning, showcasing your skills to potential employers.
Yes, we provide academic certifications as part of the Data Science and Machine Learning Course. These certifications validate your knowledge and skills in the field of data science and machine learning, giving you a competitive edge in the job market. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.
Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, highlighting your practical skills and project-based learning.
As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that demonstrates your knowledge in data science and machine learning. On completion of course and real-time projects. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions.
As an on-job professional, this course offers recognition that can propel your career forward. You will receive a Course Completion Certificate, validating your expertise in Data Science and Machine Learning. You will also be certified for the project experience and practical skills gained through completion of the capstone project. This will enhance your professional profile, enabling you to take on more challenging roles and responsibilities.
A project experience certification by a company holds significant value in the industry. It showcases your ability to apply Data Science and Machine Learning techniques to real-world projects, demonstrating your practical skills and problem-solving capabilities. This certification enhances your credibility and can make a positive impact on your career growth.
For working professionals we help our students specialize in domain by working on end-to-end industry projects. The projects will require implementation of concepts and tools you will be trained in the class. On successful completion of the project you will be awarded with a Project experience certificate by our collaborated company.
For college students / freshers, we help you work on an internship program for upto 6 months and get certified for the same.
Reach out to us and your career guide will get in touch with you shortly
The Data Science and Machine Learning Course is specifically designed for non-programmers and individuals from non-technical backgrounds. The course is beginner-friendly, starting from the basics, and is open to students with diverse backgrounds.
We offer two courses in the Data Science program:
Yes, this program is tailored for non-programmers looking to excel in the field of data science and machine learning. It is recommended for candidates with little to no prior knowledge of statistics and Python/R programming.
Our Data Science and Machine Learning Course focuses on providing high-quality training with a personalized touch. To ensure an optimal learning experience and encourage regular doubt-solving sessions, we maintain small batch sizes of up to 15 students. This enables mentors to provide individualized support and fosters interactive learning among participants.
Students enrolled in our Data Science and Machine Learning Course receive a 2-year subscription. This entitles them to ongoing access to live class support, mentorship from the institute, and job referrals for the duration of the subscription.
The online training program for the Data Science and Machine Learning Course provides students with several advantages:
The Data Science and Machine Learning Course has two options. The foundation data science and machine learning course has a duration of 4 months (120 hours), while the foundation PLUS data science and machine learning program lasts for 7 months (240 hours). Both options include live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch is held from Monday to Friday for 2 hours per day, and the weekend batch takes place on Saturdays and Sundays for 3.5 hours per day.
In the Data Science and Machine Learning Course, the instructor-led online training follows a structured format. Students engage in live sessions conducted by experienced trainers, allowing them to actively participate and interact with the instructor and peers. This training methodology facilitates the learning of foundational data science and machine learning concepts through practical exercises and real-world applications.
If you missed a live session in the Data Science and Machine Learning Course, there’s no need to worry. The instructor-led online training offers recorded sessions that you can access afterwards. This allows you to catch up on the missed content and stay on track with the course curriculum, ensuring that you don’t miss out on any valuable learning opportunities.
In the Data Science and Machine Learning Course, a smaller batch size plays a crucial role in improving the learning process. With a limited number of students, each individual can actively participate and have their questions addressed during the session. The trainer can devote ample time to explain concepts and ensure a thorough understanding of the course material.
Yes, students are encouraged to actively participate and ask questions during the live training sessions in the Data Science and Machine Learning Course. Our goal is to foster a collaborative learning environment, enabling students to engage with the trainer and seek clarification on any uncertainties. To facilitate effective interaction, we maintain small class sizes with a maximum of 15 students per batch.
The Data Science and Machine Learning Course builds a solid career foundation. Master concepts, statistical techniques, and programming skills in Python and SQL. Gain proficiency in data science libraries and frameworks. Unlock career prospects in finance, healthcare, e-commerce, and more by making data-driven decisions.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Data Science and Machine Learning 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, upon completing the Data Science and Machine Learning Course, you will receive lifetime access to the course materials. This includes 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.
Answer: Yes, the learning materials for the Data Science and Machine Learning Course for Managers, including recorded sessions, assignments, and course materials, are accessible through our online learning platform (LMS). This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that you may need to switch between batches if you miss an entire module or with any work commitment. If such a situation arises during the Data Science and Machine Learning Course, 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 Data Science and Machine Learning Course, you can expect 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 Data Science and Machine Learning Course emphasizes practical training to complement theoretical learning. Through practical exercises and real-world applications, you’ll develop the skills to extract insights from data and build predictive models. This hands-on experience will equip you with the necessary expertise to tackle data-driven challenges effectively.
Real-time projects in the Data Science and Machine Learning Course are based on industry data (with confidentiality protected) and offer students the opportunity to apply concepts and algorithms to actual datasets. These projects enhance the learning experience by providing practical exposure and allowing students to develop their skills in data science and machine learning. With 12 industry projects included in the course, students can gain hands-on experience and practice the techniques learned.
Answer: Domain specializations is part of Data Science and Machine Learning Course that provide industry-specific training through capstone projects and mentorship. These projects are sourced from diverse domains, allowing students to gain practical experience and apply data science and machine learning concepts in real-world scenarios. Domain specializations benefit students by deepening their understanding of data science in specific industries, preparing them for domain-specific challenges, and increasing their employability in the field of data science and machine learning.
The Data Science and Machine Learning Course includes 1 end-to-end Capstone projects. These projects provide students with the opportunity to apply their knowledge and gain practical experience by working on real-world scenarios in the domain of data science and machine learning.
Certainly! The Data Science and Machine Learning Course ensures that you have access to industry experts and mentors. These knowledgeable professionals will be there to support you, offer valuable insights, and provide mentorship as you dive into the fundamentals of data science and machine learning.
Yes! The Data Science and Machine Learning Course offers a community forum designed for students to interact and collaborate. Within this forum, you can engage in discussions, seek clarification on concepts, and work together on projects. It serves as a platform to connect with fellow learners, exchange ideas, and enhance your understanding of data science and machine learning foundations.
To address your queries outside the class, we provide a student forum exclusively for participants of the Data Science and Machine Learning Course. If you have any doubts or encounter difficulties while practicing, you can post your queries on the forum. Our trainers and fellow students actively participate on the forum, offering their expertise and insights to help you find solutions.
In the Data Science and Machine Learning Course, we understand the importance of resolving doubts and ensuring a strong foundation. Therefore, we conduct doubt-solving sessions within the class to address any questions or uncertainties that arise during the course. These sessions provide an opportunity for participants to seek clarification and gain a deeper understanding of the concepts covered.
The fees for the Data Science and Machine Learning course is INR 79,000/- + 18% GST.
The different payment methods accepted by us are:
Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 5179/month for a 12-month EMI (Foundation Data Science and Machine Learning Course) and INR 5,890/month for a 12-month EMI ( Data Science and Machine Learning Course). You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking parner.
Yes! We provide installment options for course fee payment in the Data Science and Machine Learning Course. We understand that managing course fees is important, and we aim to support our students financially. You can connect with our admissions team to discuss the available payment plans and select the one that aligns with your financial needs.
1stepGrow offers 15 – 20% scholarship on early-birds. 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.
The Job Assistance program in the Data Science and Machine Learning Course is designed to help participants kick-start their careers in the field of data science and machine learning. Through this program, we provide job search support, resume building guidance, interview preparation, and networking opportunities. Our goal is to equip participants with the necessary skills and resources to secure job positions in the dynamic and rapidly growing field of data science and machine learning.
Our job assistance program is a four step program:
The mock interviews in the Data Science and Machine Learning Course are conducted online via video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video of the interview, you can identify areas for improvement in both soft skills and technical skills. This course offers up to 2 mock interviews.
Yes, we provide job assistance to students who have successfully completed the Data Science and Machine Learning Course. Our dedicated placement cell assists students in crafting effective resumes, preparing for interviews, and connects them with suitable job opportunities in the data science and machine learning domain. We are committed to helping our students achieve their career goals in this dynamic field.
Our Data Science and Machine Learning Course offers job referral assistance to our students until the end of the subscription period. We connect you with our network of partner companies and consultancies, increasing your chances of finding suitable job opportunities in the data science and machine learning field.
To be eligible for job assistance from 1stepGrow, you need to fulfill certain requirements. These include successfully completing all assessment tests with a score of 70% or higher, submitting assignments on time, completing real-time projects, and Capstone project.
Yes, upon successfully completing the Data Science and Machine Learning Course, you will receive a Course Completion Certificate from 1stepGrow. This certificate validates your proficiency in data science and machine learning, showcasing your skills to potential employers.
Yes, we provide academic certifications as part of the Data Science and Machine Learning Course. These certifications validate your knowledge and skills in the field of data science and machine learning, giving you a competitive edge in the job market. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized Data certificate by Microsoft.
Our course offers you the opportunity to work on real-world projects in collaboration with our partner companies. Upon successful completion of these projects, you will receive a Project Experience Certificate, highlighting your practical skills and project-based learning.
As a college student or fresher, this course provides you with valuable recognition. You can expect a Course Completion Certificate that demonstrates your knowledge in data science and machine learning. On completion of course and real-time projects. The project experience gained during the course will also enhance your resume and increase your chances of securing internships and entry-level positions.
As an on-job professional, this course offers recognition that can propel your career forward. You will receive a Course Completion Certificate, validating your expertise in Data Science and Machine Learning. You will also be certified for the project experience and practical skills gained through completion of the capstone project. This will enhance your professional profile, enabling you to take on more challenging roles and responsibilities.
A project experience certification by a company holds significant value in the industry. It showcases your ability to apply Data Science and Machine Learning techniques to real-world projects, demonstrating your practical skills and problem-solving capabilities. This certification enhances your credibility and can make a positive impact on your career growth.
For working professionals we help our students specialize in domain by working on end-to-end industry projects. The projects will require implementation of concepts and tools you will be trained in the class. On successful completion of the project you will be awarded with a Project experience certificate by our collaborated company.
For college students / freshers, we help you work on an internship program for upto 6 months and get certified for the same.
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
Anjanapura | Arekere | Basavanagudi | Basaveshwara Nagar | Begur | Bellandur | Bommanahalli | Bommasandra | BTM Layout | CV Raman Nagar | Electronic City | Girinagar | Gottigere | Hebbal | Hoodi | HSR Layout | Hulimavu | Indira Nagar | Jalahalli | Jayanagar | J. P. Nagar | Kamakshipalya | Kalyan Nagar | Kammanahalli | Kengeri | Koramangala | Kothnur | Krishnarajapuram | Kumaraswamy Layout | Lingarajapuram | Mahadevapura | Mahalakshmi Layout | Malleshwaram | Marathahalli | Mathikere | Nagarbhavi | Nandini Layout | Nayandahalli | Padmanabhanagar | Peenya | Pete Area | Rajaji Nagar | Rajarajeshwari Nagar | Ramamurthy Nagar | R. T. Nagar | Sadashivanagar | Seshadripuram | Shivajinagar | Ulsoor | Uttarahalli | Varthur | Vasanth Nagar | Vidyaranyapura | Vijayanagar | White Field | Yelahanka | Yeshwanthpur
Mumbai | Pune | Nagpur | Delhi | Gurugram | Chennai | Hyderabad | Coimbatore | Bhubaneswar | Kolkata | Indore | Jaipur and More