D24
Data & AIAdvanced12 weeks
Data Science 360: Analytics, ML & AI
Data Science 360 is a 12-week course spanning the full data science pipeline: Python and SQL fundamentals, Excel/Power BI/Tableau dashboarding, supervised and unsupervised machine learning, deep learning basics, and generative and agentic AI including LLM fine-tuning. It's built as one broad, connected path for learners who want the full picture across data analysis, ML, and AI rather than a single deep specialty.
One structured path across the full data science pipeline — Python, SQL, dashboards, machine learning, deep learning, and generative/agentic AI — for learners who want the whole picture, not one slice of it.
What you'll learn
Python, SQL, and dashboarding across a real analytics workflow
Supervised and unsupervised machine learning fundamentals
Deep learning, NLP, and computer vision basics
Generative AI, RAG, agentic AI, and LLM fine-tuning fundamentals
Course details
Duration
12 weeks
Best for
Learners who want one structured path spanning data analysis, machine learning, and generative/agentic AI
Compare enrollment modes
| Mode | Price | What you get |
|---|---|---|
| Live Class | ₹4,999 | Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. |
| Recorded Batch | ₹2,999 | Full recordings of a completed live batch — includes both the course and internship certificates. |
| Internship | ₹2,499 | Work through real projects with our team and earn an internship certificate (course certificate not included). |
| Self-Paced | ₹1,999 | Learn anytime with the full recorded curriculum and community access. |
Enrollment isn't open for this course yet — check back soon or contact us.
Course Curriculum
A module-by-module breakdown of what you'll cover in Data Science 360: Analytics, ML & AI.
01Getting Started & Environment Setup
3 topicsWeeks 1–2
- Installing Python, Jupyter, and core libraries (NumPy, pandas, scikit-learn, PyTorch)
- Setting up a free SQL sandbox and Power BI or Tableau Public
- Verifying your setup with a first script and query
02Basic
4 topicsWeeks 3–4
- Python fundamentals for data work: data structures, functions, and file handling
- Descriptive statistics and probability foundations
- SQL fundamentals: retrieval, filtering, and aggregation
- Data collection basics: reading files and simple web scraping
03Intermediate
4 topicsWeeks 5–6
- Data analysis with NumPy and pandas
- Data visualization with matplotlib and seaborn
- Dashboarding with Power BI and Tableau
- Advanced SQL: joins, subqueries, and window functions
04Advanced
4 topicsWeeks 7–8
- Supervised machine learning: regression, classification, and decision trees
- Unsupervised learning and ensemble methods
- Deep learning and neural network fundamentals with PyTorch
- An introduction to NLP and computer vision
05Pro
4 topicsWeeks 9–10
- Generative AI foundations: Transformers and Hugging Face
- Prompt engineering and retrieval-augmented generation (RAG)
- Agentic AI and multi-agent systems
- LLM fine-tuning fundamentals: transfer learning and popular fine-tuning libraries
06AI Pro
3 topicsWeeks 11–12
- Using Claude, ChatGPT, and Perplexity across the full data science workflow
- Verifying AI-assisted analysis and models before trusting them
- Capstone project: an end-to-end analysis combining data analysis, ML, and generative AI
Tools & Technologies
Hands-on practice with the same tools used by working professionals.
Python
SQL
Power BI
TabTableau
sciscikit-learn
PyTPyTorch
HugHugging Face
LanLangChain
ClaClaude / ChatGPT
Real-Time, Industry-Based Projects
This is project-based learning modeled on real industry scenarios — you'll build portfolio-ready work as you go, not just watch lectures.
An end-to-end e-commerce or business dataset analysis, from cleaning to dashboard
A supervised learning project comparing multiple models on the same evaluation metric
A generative AI application (chatbot or RAG system) grounded in real data
A capstone combining data analysis, a trained model, and an AI-powered feature
Every course includes a guided internship on top of your project work — so you graduate with real experience, not just a certificate.
Communication & Soft Skills
Built into every course, alongside the technical curriculum.
Communication Skills
Practice explaining technical work clearly to teammates, managers, and clients.
Practical AI Skills
Hands-on training in using AI tools well — prompting, everyday workflows, and where AI actually helps versus where it doesn't.
Teamwork & Collaboration
Work in small project teams using real workflows like stand-ups and code reviews.
Problem Solving
Build the habit of breaking down ambiguous problems into clear, solvable steps.
Time Management
Learn to plan, prioritize, and deliver project work against realistic deadlines.
Presentation Skills
Present your project work and results with confidence, as you would to a client.
Resume & Profile Building
Build a strong resume, LinkedIn profile, and project portfolio that recruiters notice.
Interview Preparation
Mock interviews and portfolio reviews to get you ready for real job applications.
Career & Placement Support
100% of students enrolled in Data Science 360: Analytics, ML & AI get full access to placement support — real tools and guidance, not just a promise. This is support and access, not a guaranteed job outcome.
Resume Builder
A resume auto-built from your real completed projects and certificates, ready to export.
Shareable Portfolio
A public portfolio page showcasing your approved projects, with a link you can share with employers.
Interview Preparation
Guidance on presenting your projects and experience clearly in real interviews.
Peer & Mentor Community
Ongoing access to our learner community for questions, feedback, and support after you finish.
What Your Certificates Look Like
Real, verifiable certificates with your name, Data Science 360: Analytics, ML & AI, and a QR code anyone can scan to confirm they're genuine — one for completing the course, and a separate one if you take the internship track.
Course Completion Certificate
Sample
Data24ZoneCertificate of Completion
Your Name Here
has successfully completed the
Data Science 360: Analytics, ML & AI
Certificate No.
D24-SAMPLE
Mode
Self-Paced
Duration
12 weeks
Issued On
On completion
Scan to verify
Sample only — not a real, issued certificate.
Internship Completion Certificate
Sample
Data24ZoneCertificate of Internship
Your Name Here
has successfully completed a project-based internship in
Data Science 360: Analytics, ML & AI
Certificate No.
D24-SAMPLE
Mode
Internship
Duration
12 weeks
Issued On
On completion
Scan to verify
Sample only — not a real, issued certificate.
Frequently Asked Questions
What will I learn in the Data Science 360: Analytics, ML & AI course?
You'll learn: Python, SQL, and dashboarding across a real analytics workflow; Supervised and unsupervised machine learning fundamentals; Deep learning, NLP, and computer vision basics; Generative AI, RAG, agentic AI, and LLM fine-tuning fundamentals.
What tools and technologies does the Data Science 360: Analytics, ML & AI course cover?
This course covers: Python, SQL, Power BI, Tableau, scikit-learn, PyTorch, Hugging Face, LangChain, Claude / ChatGPT.
Is the Data Science 360: Analytics, ML & AI course beginner-friendly?
This is a advanced-level course. It still starts with a "Getting Started & Environment Setup" module covering tool installation, but assumes some prior familiarity with the subject.
How long does the Data Science 360: Analytics, ML & AI course take to complete?
The course is designed to be completed in approximately 12 weeks, depending on your pace.
What enrollment options are available for Data Science 360: Analytics, ML & AI?
Live Class (₹4,999) — Instructor-led live cohort with doubt-clearing sessions — includes both the course and internship certificates. Recorded Batch (₹2,999) — Full recordings of a completed live batch — includes both the course and internship certificates. Internship (₹2,499) — Work through real projects with our team and earn an internship certificate (course certificate not included). Self-Paced (₹1,999) — Learn anytime with the full recorded curriculum and community access.
Is there an internship option for Data Science 360: Analytics, ML & AI?
Yes — enrolling in the Internship track (or the Live/Recorded tracks, which include it) means working through real projects with our team and earning a separate Internship Certificate, in addition to the course completion certificate for Live/Recorded enrollments.
Will I get a certificate after completing Data Science 360: Analytics, ML & AI?
Yes. Self-paced enrollment earns a course completion certificate once your final project is reviewed and approved. Internship enrollment earns an internship certificate once your internship projects are approved. Live and Recorded enrollments earn both. Every certificate is publicly verifiable on our website and can be added directly to your LinkedIn profile.
What kind of projects will I build in Data Science 360: Analytics, ML & AI?
You'll work on real projects such as: An end-to-end e-commerce or business dataset analysis, from cleaning to dashboard; A supervised learning project comparing multiple models on the same evaluation metric; A generative AI application (chatbot or RAG system) grounded in real data; A capstone combining data analysis, a trained model, and an AI-powered feature.
Is placement support included with Data Science 360: Analytics, ML & AI?
Yes — every enrolled student gets full access to our placement support: resume building, a shareable project portfolio, mock interview preparation, and guidance applying what you've built to real job applications. This is support and access, not a guaranteed job outcome — how quickly it leads to an offer depends on the market and your own effort.
