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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

Download curriculum →Talk to a career advisor
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.

Mode

Classroom / Hybrid learning format

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.

Download curriculum
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.

LSA students collaborating around a laptop on a practical project
  1. 01

    Practical Capability

    IN PRACTICE

    Work with Python, data tools, and AI technologies through guided exercises and practical problem-solving.

  2. 02

    Project Experience

    IN PRACTICE

    Build meaningful Data Science projects, document your work, and develop a portfolio that demonstrates your skills.

  3. 03

    Career Readiness

    IN PRACTICE

    Present your projects, explain your approach, discuss your decisions, and communicate your technical work with confidence.

05 — PROGRAM DETAILS

Built for different starting points.

  1. 01

    Students

    Start building practical data skills. Develop a strong foundation in Data Science through guided learning, hands-on practice, and projects.

  2. 02

    Fresh Graduates

    Turn academic knowledge into practical experience. Strengthen your technical skills through applied learning, projects, and portfolio development.

  3. 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.

  4. 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.

See what your LSA certificate looks like.

A sample certificate showing the format, course details, completion information, and certificate identification.

LSA sample certificate preview
  1. 01

    Official LSA Completion Certificate

    Receive a certificate from Lords Skill Academy upon successful completion of the program.

  2. 02

    Learning & Assessment

    Demonstrate your understanding through practical learning activities, assignments, and program checkpoints.

  3. 03

    Project Portfolio

    Build projects throughout the program that you can document and showcase alongside your certificate.

  4. 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 hiring partners

12 — CLASSROOM GALLERY

Classroom and learning moments.

Students learning technology in an LSA classroom
Classroom learning moment
Students working together during an LSA learning session
Students working together
Learners taking part in practical technology training
Practical learning session
Learner discussion during an LSA classroom session
Learner discussion
LSA classroom group learning together
LSA classroom group

13 — READY TO START

Ready to build?

Not sure where to start? Get career guidance, explore your options, and find the learning path that fits what you want to build.

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