SM
Sofia Marin
Senior Full Stack Mentor
8+ years · MERN, System Design
Full stack engineer passionate about teaching clean, production-ready development practices.
Data Science & AI
Data Science
Level
Intermediate
Intermediate
Duration
6 Months
6 Months
Mode
Live + Recorded
Live + Recorded
Modules
7
7
Projects
5
5
Certificate
Included
Included
Rating
4.8 (642)
4.8 (642)
Program Overview
Master data analysis, statistics, machine learning and visualization with hands-on, industry-aligned projects. This program blends conceptual depth with practical application — guiding you through real-world projects, mentor feedback and career preparation so you can confidently apply your skills in a professional setting.
Who Should Enroll
Students building career-ready skills
Fresh graduates entering the industry
Working professionals upskilling
Career switchers entering a new domain
Entrepreneurs strengthening capabilities
Corporate learners and teams
Learning Outcomes
Build a strong conceptual foundation
Apply skills to real-world projects
Use industry-standard tools confidently
Solve practical problems independently
Create a portfolio-ready capstone project
Prepare for interviews and career opportunities
Curriculum
Core concepts and foundations. Topics: key terminology, environment setup, foundational principles. Includes a warm-up assignment and knowledge-check assessment.
Hands-on with the essential tools and platforms used in the field. Includes a guided lab and a mini-project to practice your setup.
Deep dive into the central concepts of the domain with worked examples, assignments and a concept-application assessment.
Apply concepts to realistic scenarios. Includes a substantial practical assignment and peer-reviewed mini-project.
Explore advanced techniques and best practices used in industry. Includes an advanced assignment and assessment.
Build an end-to-end capstone project that demonstrates your full skill set, with structured mentor feedback.
Resume building, interview preparation, portfolio review and job-readiness sessions to prepare for opportunities.
Hands-On Projects
Project 1
A practical, portfolio-ready project applying Data Science concepts to a realistic scenario with mentor feedback.
Project 2
A practical, portfolio-ready project applying Data Science concepts to a realistic scenario with mentor feedback.
Project 3
A practical, portfolio-ready project applying Data Science concepts to a realistic scenario with mentor feedback.
Project 4
A practical, portfolio-ready project applying Data Science concepts to a realistic scenario with mentor feedback.
Tools & Platforms Covered
Industry-standard toolingCollaborative platformsCloud-based environmentsProject & version controlAnalytics & reportingDocumentation tools
Learning Mode
Live mentor-led classes
Recorded lectures
Assignments
Quizzes & assessments
Capstone project
Full LMS access
Doubt-clearing sessions
Peer learning community
Your Mentor
Career Support
This program includes career support to help you become job-ready. Career outcomes depend on individual effort, interview performance and market conditions.
Resume support
Interview preparation
Portfolio guidance
Career counselling
Frequently Asked Questions
This is an intermediate program. Basic familiarity with the domain is helpful, and our counsellors can advise on prerequisites.
This program follows a blended model with live mentor-led classes and recorded lectures for flexible learning.
Yes, you receive a professional certificate of completion after meeting the program requirements.
Yes, you get mentor support, doubt-clearing sessions and feedback on your projects.
You retain access to recorded content and resources for the full program duration and beyond, as per the access policy.
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