Live Interactive Classes
Hiring Partners
Guaranteed Job Referrals
Avg. Salary Hike
Our business analytics 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 business analytics 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.
CERTIFICATION
Graduates from computer science, mathematics, or a related field
Professionals with experience in technology background
Early to mid-career professionals seeking career leap
Ambitious individuals aiming for hands-on experience
Harness Extensive Industry Network of 510+ Companies with Relevant Skills
Syllabus | Business Analytics Course
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Syllabus | Business Analytics Course
1stepGrow provides an industry-designed Business analytics course, featuring hands-on learning through real-world projects and live interactive classes. With guaranteed job referrals, you can gain practical experience and a competitive advantage in the data and AI field, immersing yourself in a comprehensive program developed by industry experts.
1stepGrow provides an industry-designed Business analytics course, featuring hands-on learning through real-world projects and live interactive classes. With guaranteed job referrals, you can gain practical experience and a competitive advantage in the data and AI field, immersing yourself in a comprehensive program developed by industry experts.
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 Business Analytics with Data Science
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)
Application: 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.
A comprehensive overview of statistical concepts. Learn practically to analyze data by handling huge databases with SQL and analytics with Power BI, Tableau & Excel.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: Power BI – Dashboard & Visualization
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 3: Tableau – Dashboard & Visualization
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 4: Excel for Analytics
In this unit, we’ll delve into prompt engineering tools based on generative AI models to help us craft effective prompts for guiding AI models to specific tasks.
Module 1: 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
Module 1: Sectoral Analytics in HR
Sectoral Analysis in HR by IBM includes process of measuring
the impact of HR metrics on business performance to help HR
professionals make informed decisions and plan for
organizational growth.
Sectoral Analytics in HR.
Module 2: Sectoral Analytics in Marketing
Sectoral Analysis in Marketing by IBM involves the process of
collecting, analyzing, and managing marketing data to improve
marketing effectiveness and business outcomes.
Module 3: Sectoral Analytics in Operations
The Sectoral Analysis in Operations by IBM focuses on evaluating operational efficiency and industry-specific practices.
Module 4: Sectoral Analytics in Finance
The Sectoral Analysis in Finance by IBM provides essential insights into evaluating industries and their financial performance. It covers key frameworks, sector-specific drivers
across BFSI.
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints.
Module 1: Introduction to Project Management
Module 2: Agile & Scrum
Module 3: Jira
Tools Covered: Agile. Scrum, Jira, Kanban
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 Business Analytics with Data Science
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)
Application: 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.
A comprehensive overview of statistical concepts. Learn practically to analyze data by handling huge databases with SQL and analytics with Power BI, Tableau & Excel.
Module 1: SQL – Structured Query Language
Hands-on practice:
Module 2: Power BI – Dashboard & Visualization
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 3: Tableau – Dashboard & Visualization
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 4: Excel for Analytics
In this unit, we’ll delve into prompt engineering tools based on generative AI models to help us craft effective prompts for guiding AI models to specific tasks.
Module 1: 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
Module 1: Sectoral Analytics in HR
Sectoral Analysis in HR by IBM includes process of measuring
the impact of HR metrics on business performance to help HR
professionals make informed decisions and plan for
organizational growth.
Sectoral Analytics in HR.
Module 2: Sectoral Analytics in Marketing
Sectoral Analysis in Marketing by IBM involves the process of
collecting, analyzing, and managing marketing data to improve
marketing effectiveness and business outcomes.
Module 3: Sectoral Analytics in Operations
The Sectoral Analysis in Operations by IBM focuses on evaluating operational efficiency and industry-specific practices.
Module 4: Sectoral Analytics in Finance
The Sectoral Analysis in Finance by IBM provides essential insights into evaluating industries and their financial performance. It covers key frameworks, sector-specific drivers
across BFSI.
In this unit, students will master the principles and practices of planning, organizing, executing, and controlling projects to achieve specific goals within constraints.
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 20% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Get a chance to win Upto 20% Scholarship
Take the test and prove your interest in Data Science and AI skill development for your batter career
Industry Projects
Wide Range Of Tools & Modules
Products in the markets are
1stepGrow provides you with
1stepGrow Data Science & Artificial Intelligence Course focuses on Focused Group Training with Live projects
Three years of live class support with access to various batches and instructors
Never miss a session with unlimited access to recorded classes
Get offline feeling in online mode: unmute, ask, and clear doubts in real time
Advantage for revision: get lifetime access to class recordings and material
Invest in your future with quality education
Program Fee:
₹ 49,000
+ 18% GST
Multiple Payment Modes
Payment Partner
Invest in your future with quality education
Program Fee :
Still Not Sure About The Course?
Avoid Confusion, Choose The Right Option That Suits Your Needs.
Domain Specialization
Weekday Batch
Weekday Batch
Weekend Batch
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.
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.
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.
Get a chance to win Upto 20% Scholarship
Take the test and prove your interest in Data Science skill development for your batter career
The Business Analytics and Data Science Course is suitable for beginners in data science and provides a foundation from the basics. Students enrolling in the program should have a minimum of two years of work experience or hold managerial positions within their organizations.
This is a specialized data science and Business Analytics program for managers that focuses on developing the necessary skills in data science, AI, and project management with domain specialization. The program includes:
Yes, the program is specifically designed for non-programmers aspiring to succeed as managers in the field of Data Science and Business Analytics. It is recommended for candidates currently in managerial roles. Having knowledge of applied mathematics/statistics and some exposure to technology/tools like Python/R programming will be advantageous.
Our Business Analytics and Data Science Course is designed to provide exceptional training with a focus on individualized attention. To maximize learning outcomes, we maintain small batch sizes, with no more than 15 students per batch. This enables mentors to deliver personalized guidance and ensures an interactive learning experience.
Students taking our Business Analytics and Data Science Course can enjoy a 3-year subscription, providing them with an extended period of access to live class support, mentorship from the institute, and job referrals.
The online training program for the Business Analytics and Data Science Course presents students with multiple advantages:
The Business Analytics and Data Science Course has a duration of around 10 months (320 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 8 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 10 months, with classes on Saturdays and Sundays for 3.5 hours per day.
In the Business Analytics and Data Science Course, instructor-led online training is implemented through live sessions led by knowledgeable instructors. This training method encourages active engagement from participants and enables direct interaction between trainers and students. By leveraging technology, managers can conveniently access the course materials and engage in collaborative learning.
In the Business Analytics and Data Science Course, if you are unable to attend a live session, there’s no need to worry. The instructor-led online training provides access to recorded sessions, allowing you to catch up on the missed content. This ensures that you can still acquire the valuable knowledge and insights offered in the course, even if you are unable to join the live sessions.
In the Business Analytics and Data Science Course, a smaller batch size enhances the learning experience. With fewer participants, each student has a better chance to engage and resolve their queries during the session. The trainer can also ensure that the course progresses smoothly, dedicating sufficient time to address the specific needs and questions of each student.
A smaller batch size in the Business Analytics and Data Science Course creates an environment that promotes effective learning. With fewer students, there is more opportunity for individuals to address their queries and concerns during the session. Additionally, the trainer can maintain an optimal pace in delivering the course content while ensuring that student queries are adequately addressed.
Absolutely! The Business Analytics and Data Science Course incorporates project management concepts specifically tailored for data science teams. You will learn essential methodologies utilized in product-based companies, such as Jira, Agile, and Scrum. These topics are carefully included to provide you with a comprehensive skill set that aligns with industry requirements and empowers you to effectively manage data science projects.
The Business Analytics and Data Science Course empowers you with skills to make informed decisions in AI and data science. Master AI algorithms, data analytics techniques, and emerging trends. Gain a competitive edge by mastering machine learning, deep learning, and big data analytics. Drive data-driven strategies, optimize processes, and leverage AI-driven insights using tools and technologies in Business Analytics and data science.
Yes, to assess your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Business Analytics and Data Science 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 Business Analytics and Data Science 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
Yes, the learning materials for the Business Analytics and Data Science Course, 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 to manage your work schedules. If such a situation arises during the Business Analytics and Data Science 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 Business Analytics and Data Science 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! Practical training is an integral part of the Business Analytics and Data Science Course. Through hands-on projects, you’ll gain valuable experience in utilizing AI and data science techniques to address challenging issues. This practical exposure will enhance your skills and empower you to effectively manage data science projects in real-world scenarios.
Real-time projects in the Business Analytics and Data Science Course are designed to simulate real-world scenarios using industry data (with confidentiality protected). These projects offer managers the chance to apply concepts and algorithms to actual datasets, helping them develop practical skills. With 18 industry projects included in the course, managers can practice using the tools and techniques learned to enhance their understanding of AI and data science in a managerial context.
The Business Analytics and Data Science Course comprises up to 2 end-to-end Capstone projects.
In our Business Analytics and Data Science Course, project experience entails working on industry projects relevant to domain specializations. Students are organized into groups with dedicated mentors. Upon successful completion, the project undergoes evaluation by our institute and partner company. If it meets the necessary criteria, we provide a project experience certificate, certifying your practical expertise in Business Analytics
Absolutely! The Business Analytics and Data Science Course provides opportunities for you to engage with industry experts and mentors. These experienced professionals will be available to offer guidance, share their practical insights, and provide mentorship to enhance your understanding of AI and data science in a managerial context.
Absolutely! The Business Analytics and Data Science Course offers a community forum exclusively for students to interact and collaborate. This forum facilitates discussions, enables peer-to-peer learning, and provides a platform for networking with fellow learners. It creates a valuable space for you to engage with others, exchange insights, and strengthen your understanding of AI and data science in a managerial context.
To facilitate query resolution outside the class, we have created a student forum exclusively for participants of the Business Analytics and Data Science Course. Whenever you have doubts or encounter any issues while practicing, feel free to post your queries on the forum. Our trainers and fellow students are active on the forum and will provide you with the necessary guidance and answers.
In the Business Analytics and Data Science Course, we understand the importance of resolving queries effectively. Therefore, we conduct doubt-solving sessions on a regular basis within the class to address any doubts or questions raised by participants. These sessions ensure that you receive the necessary clarification and support to enhance your learning experience.
The total fees for data science & Business Analytics program is INR 69,000/- + 18% GST
Yes, you can pay the fees in instalments by taking a no-cost EMI option for INR 4523/month for a 12-month EMI. You can choose an interest free loan by submitting Aadhar, PAN, 3-month salary slip and other required documents to our banking partner.
The different payment methods accepted by us are:
Absolutely! We provide installment options for course fee payment in the Business Analytics and Data Science Course. We understand the financial aspects and aim to make our course accessible to all aspiring managers. You can reach out to our admissions team to explore the available payment plans and select the one that fits your requirements.
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 is a vital component of our Business Analytics and Data Science Course for Managers. It aims to support our participants in their job search endeavors. Through this program, we provide guidance and resources to help participants secure their desired positions in the industry.
The mock interviews for the Business Analytics and Data Science Course are conducted online via video mode. Feedback on your performance will be provided within a week. You will receive a recorded video of the interview, which will help you identify areas of improvement in both soft skills and technical skills. This course offers up to 2 mock interviews.
Yes, we offer job assistance to students who have successfully completed the Business Analytics and Data Science Course. Our placement cell works diligently to assist students in resume creation, interview preparation, and connecting them with suitable job opportunities in the field of AI and data science. We are dedicated to supporting our students in their career advancement and helping them secure rewarding positions.
We offer job referrals to our students enrolled in the Business Analytics and Data Science Course. Our dedicated placement assistance ensures that your profile is referred to our partnered consultancies and companies, increasing your chances of landing a suitable job opportunity.
To be eligible for job assistance from 1stepGrow, you need to fulfill certain criteria. This includes completing all assessment tests with a score of 70% or higher, timely completion and submission of assignments, submission of real-time projects, and completion of at least 1 Capstone projects.
Yes, upon successfully completing the Business Analytics and Data Science Course, you will receive a Course Completion Certificate from 1stepGrow, acknowledging your proficiency in the field.
Yes, we provide academic certifications to validate your knowledge and skills. As part of our program, you will receive training for industry-recognized certifications in Business Analytics and data science, enhancing your credentials and opening up new career opportunities. We are partnered with Microsoft. On successful completion of the assessment you will be awarded with a globally recognized AI certificate by Microsoft.
Yes, through our course, you will have the opportunity to work on practical projects that simulate real-world scenarios. Upon successful completion of these projects, you will receive a Project Experience Certificate, showcasing your ability to apply Business Analytics and data science concepts in practical settings.
A project experience certification by a company holds great value in the industry. It demonstrates your ability to apply Business Analytics and data science concepts to real-world projects, highlighting your practical skills and problem-solving capabilities. This certification enhances your credibility and can significantly impact your career growth.
Reach out to us and your career guide will get
in touch with you shortly
All Answers To Your Future Career
The Full-stack Artificial Intelligence and Data Science Course is designed to cater to beginners and starts with the fundamentals. While having basic technical knowledge and familiarity with programming concepts would be helpful, the course is structured to accommodate learners from diverse backgrounds and equip them with the necessary skills to excel in the field of artificial intelligence and data science.
This comprehensive Artificial Intelligence and Data Science Course equips students with a deep understanding of the entire data science program. The course covers the following components:
Certainly! You are welcome to enroll in the Full-stack Artificial Intelligence and Data Science Course. While the program is recommended for candidates with a basic understanding of applied mathematics/statistics and some exposure to technology/tools like Python/R programming, it is open to individuals from various backgrounds, including those without prior programming experience.
If you’re not eligible for the Full-stack Artificial Intelligence and Data Science Course due to a lack of data exposure, don’t worry! We offer a foundational course in Data Science & Machine Learning that can enable you to achieve your goal of learning data science and pave the way for a career in this field.
At our Full Stack Artificial Intelligence and Data Science Course, we prioritize quality training through personalized attention. To foster an effective and engaging learning environment, we maintain small batch sizes, with a maximum limit of 15 students. This approach ensures ample interaction with mentors and promotes a conducive learning atmosphere.
Enrolling in our Full-Stack Artificial Intelligence and Data Science Course grants students a 3-year subscription. This extended duration ensures continuous access to live class support, mentorship from the institute, and job referrals throughout the subscription period.
The online training program for the Full-Stack Artificial Intelligence and Data Science Course offers students several distinct benefits:
The duration of the Full-Stack Artificial Intelligence and Data Science Course is approximately 11 months (360 hours). It includes live training sessions, hands-on training on live projects, and interview preparations. Classes are conducted on both weekdays and weekends. The weekday batch spans 9 months, with classes from Monday to Friday for 2 hours per day. The weekend batch lasts for 11 months, with classes on Saturdays and Sundays for 3.5 hours per day.
In the Full-Stack Artificial Intelligence and Data Science Course, instructor-led online training refers to a dynamic and engaging learning approach where students actively participate in live sessions conducted by experienced trainers. This interactive training model promotes interaction between students and trainers, fostering a conducive environment for learning.
In the Full Stack Artificial Intelligence and Data Science Course, if you miss a live session, you can still access the recorded session. The instructor-led online training format ensures that you have the flexibility to catch up on missed sessions and review the content and notes at your convenience. This allows you to stay up-to-date with the course materials and continue your learning journey effectively.
A smaller batch size in the Full-Stack Artificial Intelligence and Data Science Course creates an environment that promotes effective learning. With fewer students, there is more opportunity for individuals to address their queries and concerns during the session. Additionally, the trainer can maintain an optimal pace in delivering the course content while ensuring that student queries are adequately addressed.
Absolutely! We encourage active student participation and questions during the live training sessions in the Full-Stack Artificial Intelligence and Data Science Course. Our aim is to create an engaging learning environment where students can interact with the trainer and seek clarification on any doubts or queries they may have. To ensure effective interaction, we limit the class size to a maximum of 15 students per batch.
The Full-stack Artificial Intelligence and Data Science Course propels your career in artificial intelligence and data science. Gain expertise in cutting-edge concepts, advanced tools, and industry-relevant technologies to tackle real-world challenges. With the increasing demand for AI and data science professionals, this course enhances your career prospects and opens doors to exciting opportunities. Explore tools like Python, TensorFlow, scikit-learn, NLP, Deep Learning, DBMS, Data Visualization and other analytics tools to excel in this domain.
Answer: Yes, to evaluate your progress and understanding of the concepts taught, there will be periodic assessments and exams throughout the Full-stack Artificial Intelligence and Data Science 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 Full-stack Artificial Intelligence and Data Science 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.
Yes, the learning materials for the Full-stack Artificial Intelligence and Data Science Course, including recorded sessions, assignments, and course materials, are accessible through our online learning platform. This allows you to access the content on your mobile device, giving you the flexibility to learn on the go.
We understand that sometimes you may need to switch between batches to cover missed modules. If such a situation arises during the Full-stack Artificial Intelligence and Data Science 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 Full-stack Artificial Intelligence and Data Science 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
Certainly! Practical training is a crucial component of the Full-Stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
Certainly! Practical training is a crucial component of the Full-stack Artificial Intelligence and Data Science Course. You will have the opportunity to work on real-world projects, applying artificial intelligence and data science techniques to solve complex problems. This hands-on experience will enhance your skills and boost your confidence in tackling industry-relevant projects.
Real-time projects in the Full-stack Artificial Intelligence and Data Science Course are based on industry data, with confidential information modified to protect privacy. These projects provide students with the opportunity to apply concepts and algorithms to real datasets, enabling them to gain practical experience. The course includes 21 industry projects that cover various scenarios, allowing students to practice the tools and techniques they have learned.
Domain specializations in the Full-stack Artificial Intelligence and Data Science Course involve industry-specific training through capstone projects and mentorship. These projects are sourced from different industries, and mentors guide students in understanding the projects within the context of specific domains. Domain specializations are important as they enhance students’ knowledge, provide practical exposure to real-world scenarios, and increase their chances of clearing interviews.
The Full-stack Artificial Intelligence and Data Science Course includes up to 3 end-to-end Capstone projects. These projects provide students with opportunities to apply their knowledge and gain practical experience by working on real-world scenarios in the field of artificial intelligence and data science.
Project experience in our Full-stack Artificial Intelligence and Data Science Course involves working on industry projects related to domain specializations. Students collaborate in groups with assigned mentors. After successful completion, the project is assessed by our institute and partner company. If it meets the required standards, we issue a project experience certificate, certifying your practical experience.
Yes, you will have the privilege of accessing industry experts and mentors throughout the Full-stack Artificial Intelligence and Data Science Course. Our instructors, who possess practical industry knowledge, will serve as your guides and mentors, providing expert insights and guidance to ensure you receive comprehensive support and valuable perspectives.
Yes, the Full-stack Artificial Intelligence and Data Science Course provides a dedicated community forum where students can interact, collaborate, and engage with each other. This forum serves as a platform for students to discuss their queries, share ideas, and collaborate on projects, fostering a supportive learning community within the field of artificial intelligence and data science.
At 1stepGrow, we provide a student forum exclusively for our course participants. If you have any doubts or encounter errors while practicing, you can post your queries on the forum. Our trainers and fellow students are actively engaged on the forum and will provide you with the necessary answers and assistance.
In the Full-stack Artificial Intelligence and Data Science Course, we prioritize the resolution of doubts. We conduct doubt-solving sessions within the class to address queries in real-time. Additionally, at the end of every module, we organize dedicated doubt-solving sessions to ensure a comprehensive understanding of the course topics.
The Job Assistance program is an integral part of our Full-stack Artificial Intelligence and Data Science Course. It is designed to provide comprehensive support to our students in their job search. The program includes various steps to assist students in pursuing their dream jobs in the market.
Mock interviews for the Full-stack Artificial Intelligence and Data Science Course are conducted online through video mode. Within a week, you will receive feedback on your performance. By reviewing the recorded video, you can identify areas for improvement in both soft skills and technical skills. In this course, you are eligible for up to 3 mock interviews.
Absolutely! Upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, we provide comprehensive job assistance to our students. Our dedicated placement cell offers support in resume building, interview preparation, and connects students with relevant job opportunities in the field of artificial intelligence and data science. We are committed to helping our students transition into successful careers in the industry.
We offer unlimited job referrals to our students enrolled in the Full-stack Artificial Intelligence and Data Science Course throughout the subscription period. Our dedicated placement assistance ensures that your profile is referred to our partnered consultancies and companies.
To be eligible for job assistance from 1stepGrow, you need to meet certain criteria. These include scoring 70% or higher in all assessment tests, timely completion and submission of assignments, real-time project submission, and completion of at least 2 Capstone projects.
Yes, upon successful completion of the Full-stack Artificial Intelligence and Data Science Course, you will receive a Course Completion Certificate from 1stepGrow.
Yes, we offer academic certifications to validate your knowledge and skills. Through our partnership with Microsoft, you will receive training for the Microsoft AI certification. Upon passing the certification test, you will be awarded a globally recognized AI certificate by Microsoft.
Yes, by working on domain-specialized industry projects, you will 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, gaining an internship certification is valuable. Our program provides opportunities to work on industry projects, which can earn you recognition for an internship.
As an on-job professional, an internship certification may not be relevant. However, our program offers industry projects that provide 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. It enhances your profile and increases your credibility in the industry.
Reach out to us and your career guide will get
in touch with you shortly
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
