Mode
Classroom / Hybrid learning format
01 — DATA SCIENCE
Data Science With GenAI Program
Build practical skills in Python, data analysis, machine learning, and Generative AI, through guided learning and real projects.
Batch starting date05 October, 2026
ModeClassroom / Hybrid learning format
Weekly Hours8–10 hours of guided learning per week
Projects3 portfolio-focused projects with mentor feedback
SupportWeekly doubt-clearing sessions and learning feedback
- Industry-relevant tools with guided hands-on practice
- Portfolio-focused projects built around practical problems
02 — QUICK HIGHLIGHTS
Everything important at a glance.
The key details, learning structure, and learner experience — all in one place.
Weekly Hours
8–10 hours of guided learning per week
Projects
3 portfolio-focused projects with mentor feedback
Support
Weekly doubt-clearing sessions and learning feedback
Learning Outcome
Practical skills in data analysis, machine learning, and AI
Certificate
LSA Data Science Program Completion Certificate
03 — TECHNOLOGY STACK
Tools you'll learn to work with.
The Data Science program brings together the languages, libraries, platforms, and AI tools used to analyse data, build models, and solve practical problems.
01
PROGRAMMING
Programming foundations and workflow for Data Science.
PYTHON
Programming language for the Data Science workflow.
GIT
Track changes in development and project work.
IDE / DEVELOPMENT ENVIRONMENT
Write and run code in a development environment.
JUPYTER NOTEBOOK
Work interactively with code and analysis.
PYTHON DATA STRUCTURES
Organize data using Python structures.
OBJECT-ORIENTED PROGRAMMING
Structure code with objects and reusable behavior.
FILE HANDLING
Read and write files in Python.
ERROR HANDLING
Handle errors and exceptions in code.
CSV
Read and write tabular text data.
JSON
Work with structured data in JSON format.
01
PROGRAMMING
Programming foundations and workflow for Data Science.
PYTHON
Programming language for the Data Science workflow.
GIT
Track changes in development and project work.
IDE / DEVELOPMENT ENVIRONMENT
Write and run code in a development environment.
JUPYTER NOTEBOOK
Work interactively with code and analysis.
PYTHON DATA STRUCTURES
Organize data using Python structures.
OBJECT-ORIENTED PROGRAMMING
Structure code with objects and reusable behavior.
FILE HANDLING
Read and write files in Python.
ERROR HANDLING
Handle errors and exceptions in code.
CSV
Read and write tabular text data.
JSON
Work with structured data in JSON format.
03 — WHAT YOU TAKE WITH YOU
Build skills you can put to work.
The program goes beyond completing a syllabus. You’ll learn through practice, build projects that demonstrate your skills, and develop the confidence to apply what you know.
- 01
Practical Capability
Learn by doing, not just by watching.
IN PRACTICEWork with Python, data tools, and AI technologies through guided exercises and practical problem-solving.
- 02
Project Experience
Turn concepts into something you can show.
IN PRACTICEBuild meaningful Data Science projects, document your work, and develop a portfolio that demonstrates your skills.
- 03
Career Readiness
Learn to communicate what you can do.
IN PRACTICEPresent your projects, explain your approach, discuss your decisions, and communicate your technical work with confidence.
05 — PROGRAM DETAILS
Built for different starting points.
Whether you're beginning your technical journey, building on an academic foundation, or adding Data Science to your existing skill set, the program is designed to give you structured learning, practical experience, and projects you can build on.
- 01
Students
Start building practical data skills. Develop a strong foundation in Data Science through guided learning, hands-on practice, and projects.
- 02
Fresh Graduates
Turn academic knowledge into practical experience. Strengthen your technical skills through applied learning, projects, and portfolio development.
- 03
Career Switchers
Build a foundation for your next technology path. Learn the fundamentals of Data Science through a structured program with guided practice and project work.
- 04
Working Professionals
Add data skills to your existing experience. Build practical knowledge of data tools, analytics, and AI through focused, project-based learning.
07 — CERTIFICATION
Recognition for what you've learned.
Complete the program and receive an LSA completion certificate that documents your learning and the skills covered throughout the program.
See what your LSA certificate looks like.
A sample certificate showing the format, course details, completion information, and certificate identification.
- 01
Official LSA Completion Certificate
Receive a certificate from Lords Skill Academy upon successful completion of the program.
- 02
Learning & Assessment
Demonstrate your understanding through practical learning activities, assignments, and program checkpoints.
- 03
Project Portfolio
Build projects throughout the program that you can document and showcase alongside your certificate.
- 04
Career Portfolio Support
Use your certificate and project work as part of your professional portfolio when presenting your skills to opportunities.
08 — LSA FACULTY & TRAINERS
Meet the people behind the learning.
LSA FACULTY & TRAINERS
Explore our trainers and discover their expertise, experience, and areas of practice.
See our trainers →09 — HIRING PARTNERS
Connecting skills with opportunity.
LSA helps bridge the gap between learning and the workplace, connecting learners with industry exposure, internships, career support, and opportunities to put their skills into practice.
11 — CAREER GUIDANCE
Not sure where to go next?
Get practical guidance to understand your options, identify the skills you need to build, and create a learning path that fits your goals.
Talk to a career advisor- 01CAREER CLARITY
Understand your options.
Explore possible technology roles and the skills they typically require.
- 02SKILL GAP
Know what you need to build.
Identify the skills you already have and the areas where you can improve.
- 03LEARNING ROADMAP
Know what to learn next.
Build a structured learning path around your goals, interests, and current skill level.
- 04GUIDANCE & MENTORSHIP
Get support as you move forward.
Ask questions, discuss your progress, and get guidance as you continue developing your skills.
12 — CLASSROOM GALLERY
Classroom and learning moments.
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13 — READY TO START
Ready to build?
Explore the program, ask your questions, and take the next step with LSA.