Scope of the course
This is a practical Data Science, Machine Learning, and GenAI certification program. Students will learn how to collect, clean, analyze, visualize, and model data using industry tools and AI-powered workflows.
By the end of the course, students will be able to:
- • Work with structured and unstructured datasets
- • Analyze business data using Python and SQL
- • Create meaningful dashboards and reports
- • Build machine learning models for prediction and classification
- • Use NLP for text-based data problems
- • Understand deep learning fundamentals
- • Use GenAI tools for data analysis, automation and reporting
- • Deploy basic machine learning models
- • Solve real business problems using data and AI
This course is suitable for learners who want to start or grow their career in Data Science, Data Analytics, Machine Learning, AI Engineering, Business Intelligence, and GenAI-based application development.
Jobs you can apply for
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- AI / ML Engineer
- Business Intelligence Analyst
- Power BI / Tableau Developer
- NLP Engineer
- Junior Data Engineer
- Reporting Analyst
- GenAI Data Analyst
- AI Automation Associate
- Predictive Analytics Associate
Curriculum in brief
Includes the complete learning path with practical modules, tools, assignments, and capstone projects designed for Data Science, Machine Learning, and GenAI career readiness.
8
Learning content
10+
Languages & Tools
6 Months
Job-Ready Training
1-on-1
Doubt SupportTechnologies Covered
Python
SQL
NumPy
Pandas
Matplotlib
Seaborn
Scikit-learn
Power BI
Tableau
Excel for Analytics
Jupyter Notebook
Google Colab
MongoDB Basics
GitHub
OpenAI API Basics
Gemini API Basics
LangChain Basics
Vector Database Basics
Flask / FastAPI Basics
Cloud Deployment Basics
Git
What You’ll Learn
Our Testimonials
Success Stories from Nestack Academy
Bishal Roy
Full-Stack Developer“Nestack helped me build a strong foundation before moving into real full-stack and AI projects. I learned how frontend, backend, databases, APIs, cloud, and deployment work together in real applications. Looking back, the growth from where I started to where I am now is much bigger than I expected.”
Arun Kumar
Data Analyst & AI Developer“Halfway through the program, I almost gave up because Nestack Academy pushed me to understand every concept properly. But that is exactly what helped me gain confidence in Python, SQL, Power BI, and real data projects. Today, I can explain my work clearly and see my own potential much differently than before.”
Tejaswi Guttula
Machine Learning & AI Developer“Nestack Academy’s training was structured, practical and never boring. I could retain concepts better and apply them in real projects. While many students worry about AI changing entry-level jobs, Nestack helped me learn how to work with AI tools, build AI-powered solutions and feel ready for the future.”
Sai Shreyas
AI & Data Analytics Engineer“Coming from a non-tech background, I was nervous about learning technology and worried about AI changing entry-level jobs. Nestack Academy helped me use AI as part of my workflow, build practical skills and feel much more confident about starting my career in today’s market.”