Post Graduate Program in Data Science with AI
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Post Graduate Program in Data Science with AI
Master Data Science, Even with Zero Experience
Our PG Program in Data Science with AI will makes you the industry-ready in just 11 months regardless of whichever background you are coming from. This program is from beginning to the advanced level. This 11-months data science certification also includes a 12-months internship in the curriculum.
Learn from industry leaders and master 25+ tools and techniques, including ML, Python, SQL, EDA, and Deep Learning through hands-on projects and under the guidance of seasoned experts. This program giving you the rare advantage of learning while gaining real industry experience, practical hands-on projects led by top industry experts.
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Course Overview:
Looking to launch a high-paying career in Data Science and Artificial Intelligence?
Our PGP-DS (Post Graduate Program in Data Science) is built by industry veterans to take you from beginner to advanced level—step by step.
In SkillsSetu’s Data Science course, you do not just learn tools; you actually build the core skills that top companies are hiring for right now.
You start with Python programming, so you can write clean code, work with data sets and automate repetitive tasks with confidence.
Next, you move into Exploratory Data Analysis (EDA), where you learn how to clean, explore and understand data using statistics and visualizations.
You then master key machine learning algorithms to build prediction models and solve real business problems with data.
The course also takes you into deep learning and neural networks, so you can work with modern AI techniques used in image, text and recommendation systems.
As you progress through the course, you also build strong hands‑on experience in SQL, data wrangling and data visualization, so you can confidently query databases, clean and prepare raw data, and present clear, insightful dashboards and reports that decision‑makers can trust.
Together, these in‑demand data skills give you everything you need to stand out in today’s data‑driven world and build a successful career in data science, analytics or AI.
Key Highlights of the Course
Industry-Aligned Curriculum
Learn with a structured, progressive curriculum that covers all key areas of Data Science and Artificial Intelligence. Whether it’s Python, SQL, ML, or data visualization, we’ve got you covered.
Learn from Industry Experts
All sessions are delivered by seasoned professionals from top tech companies. You’ll get real-world insights, the latest tech stacks, and personal mentorship throughout your learning journey.
Real-World Projects & Assignments
Theory meets practice. Apply your knowledge with live projects, case studies, and simulations that mirror real industry challenges.
1:1 Doubt Clearing & Support
Got a question? Clear it instantly with our dedicated 1-on-1 doubt sessions. Whether it’s coursework or career guidance, we’re always one message or call away.
Exclusive Networking Opportunities
Meet peers, connect with mentors, and grow your professional network through our interactive community events, virtual sessions, and live discussions.
Guaranteed Internship Experience
Gain practical exposure with a 12-month internship, giving you real-world experience that hiring managers value.
Why Choose SkillsSetu’s Data Science with AI Course?
Companies everywhere are racing to hire skilled Data Science and AI professionals, but there is still a huge gap between demand and truly job‑ready talent.
That is exactly the gap SkillsSetu is built to close.
Our Data Science course is designed for college students, freshers and working professionals from any background who want a real career shift, not just another certificate. With 7,000+ successful career transformations and placements, SkillsSetu stands among the most trusted data science courses with placement support in India.
When you join our Advanced Certification in Online Data Science with AI, you learn through live mentor‑led classes, hands‑on projects, internships and real‑world case studies that make you industry‑ready from day one.
If you are serious about building a high‑paying career in Data Science, Machine Learning and AI, this program becomes your launchpad—from learning the basics to cracking interviews with confidence.
Don’t wait for the “right time”. Take the first step today and let SkillsSetu help you move from learning to earning in a career you will genuinely love
Learning Path & Career Services
- Fundamentals of Python Programming
- Exploratory Data Analysis using Advanced Python Libraries
- Practical Statistics for Data Scientists
- Data Analytics Tools (Power Bi, Tableau, Google Data Studio, and SQL)
- Machine Learning Part 1:- Supervised
- Machine Learning Part 2:- Unsupervised
- Deep Learning and Artificial Intelligence
- Artificial Neural Networks and Computer Vision
- Time Series, Generative AI using Autoencoders, and Reinforcement Learning
- Natural Language Processing
- Professional Soft Skills and Final Capstone Project
Turn data into smart decisions. Master Python, Pandas, ML algorithms, and real-time projects.
- 12 Month Internship Exp.
- 1:1 Doubt Sessions
- 99.99% Placement Guarantee Aid
- 24*7 Career Support
- Live and Recorded Sessions
- Pre-Placement Facility
- Totally Practical Exposer
- Lifetime LMS Portal
- E-Learning Study Material
- Interactive E-Learning Material
- Global Career Opportunities
- 10k+ Learners Placed
- Get Interview Preparation
- Master Latest Technologies
- 10k+ Learners Placed
- Working professionals in any field
- Businesses and Organizations
- 12th Pass in any stream
- Students or working professionals with a B. Tech / M. Tech / MCA / M.Sc / M.A (Economics) / MBA / BCA / B.Arch / B.Pharm / D.Pharm / B.Sc / B.com/ BA / Phd. Holder from an accredited institution.
- Anyone with a B. Tech / M. Tech / MCA / M.Sc / M.A (Economics) / MBA / BCA / B.Arch / B.Pharm / D.Pharm / B.Sc / B.com/ BA / Phd. Holder from an accredited institution.
- Must have studied in the 12th standard
- 35 Sections
- 10 Lessons
- 47 Weeks
- 1. Microsoft Excel for Data Science & Automation6
- 1.11.1 Excel Foundations & Data Handling
- 1.21.2 Introduction to Excel for Data Science – Interface, Ribbon, Shortcuts, Navigation, Formatting Data, Number Formats, Conditional Formatting, Basic Data Entry, Sorting, and Filtering
- 1.31.3 Basic Mathematical Functions – SUM, AVERAGE, COUNT, MIN, MAX, ABS, ROUND, etc.
- 1.41.3: Data Cleaning & Preprocessing – Handling Missing Data, Removing Duplicates & Data Validation, and Text Functions (LEFT, RIGHT, MID, LEN, TRIM, UPPER, LOWER, PROPER, etc.)
- 1.51.4: Conditional Logic & Lookup Functions – IF, IFERROR, AND, OR, VLOOKUP, HLOOKUP, XLOOKUP, INDEX, MATCH, etc.
- 1.61.5: Basic Visualization – Bar Chart, Line Chart, Pie Chart, etc. 1.6 Introduction to AI-powered Excel Tools (Copilot, AI Insights, etc.)
- 2. Advanced Data Analysis in Excel4
- 2.12.1 Pivot Tables & Data Aggregation – Creating Pivot Tables & Pivot Charts, Advanced Filtering with Slicers & Timelines, Grouping Data, Calculated Fields & Custom Aggregations
- 2.22.2 Advanced Statistical & Logical Functions – COUNTIF, SUMIF, AVERAGEIF, STDEV, VAR, CORREL, RANK, PERCENTILE, FREQUENCY, TREND, LINEST, GROWTH
- 2.32.3 Automating Data Cleaning with Power Query – Importing Data from CSV, SQL, and Web. Merging & Appending Datasets. Cleaning & Transforming Data for Analysis.
- 2.42.4 AI Powered Data Analysis – AI Powered Insights, Automating AI-driven Data Cleaning, AI Generated Forecasting & Trend Analysis
- 3. Business Intelligence & AI for Decision Making0
- 4. Automation with Excel VBA & AI Powered Workflows0
- 5. Final Project - Automated Data Reporting with VBA & AI0
- 6. Python Programming for Data Scientists0
- 7. Exploratory Data Analysis using Advanced Python Libraries0
- 8. Data Analytics Tools and Structured Query Language0
- 9, Tableau for Data Science0
- 10. Power BI for Data Science0
- 11. Machine Learning0
- 12. Statistics for Machine Learning0
- 13. Classification Techniques0
- 14. Regression Techniques0
- 15. Unsupervised Learning0
- 16. Introduction to Deep Learning & Artificial Intelligence0
- 17. Implementation using Tensorflow and Keras0
- 18. Training Deep Neural Networks0
- 19. Fine Tuning Models0
- 20. Types of Neural Networks (CNNs)0
- 21. Recurrent Neural Networks (RNNs)0
- 22. Transformer Models0
- 23. Natural Language Processing (NLP)0
- 24. Generative AI0
- 25. General Adversarial Networks (GANs)0
- 26. Advanced Topics & Applications0
- 27. Capstone Project - Multi-Modal AI Assistant (MMAI)0
- 28. Project Deliverables0
- 29. Technologies Used0
- 30. Expected Outcomes0
- 31. Learning Outcomes0
- 32. Internship Program0
- 33. Soft Skills Program0
- 34. Sample Projects You'll Build0
- Test Papers1
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The course covers a wide range of topics, from the basics of design principles to advanced techniques in various design software. The structured modules make it easy to follow along and gradually build your skills.
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