Portfolio application
A polished data science project that explains your Data Science skill path.
Program directory
Build your career with industry-focused training programs, professional certifications, and degree courses.
Data Science
Learn Data Science from scratch and master data analysis, machine learning, statistics, data visualization, and predictive modeling using industry-standard tools and real-world datasets.
Duration
10-12 months
Fees
Ask for latest batch fee
Certification
Included
Internship
Available
Projects section
Data Science is shaped around practical demos, documented work, mentor review, and interview-ready explanations across Python, NumPy, Pandas.
A polished data science project that explains your Data Science skill path.
A practical workflow using Python concepts in a real interface.
Backend logic, integrations, analytics, or repeatable workflows relevant to Data Science.
A presentation-ready Data Science walkthrough for internships and interviews.
Career outcomes
Students should leave Data Science with more than notes. The roadmap connects data science practice, project stories, technology confidence, and a placement-ready portfolio.
Modern teams need Data Science learners who can build, explain, and improve practical systems.
Project checkpoints help Data Science learners fix gaps before interviews.
Demos, GitHub, screenshots, and explanations make Data Science learning visible.
Placement roadmap
The roadmap keeps Data Science focused on professional outcomes while staying aligned with beginner to job-ready learners.
Learners practice Data Science, receive feedback, and improve how they present their work.
Learners practice Data Science, receive feedback, and improve how they present their work.
Learners practice Data Science, receive feedback, and improve how they present their work.
Learners practice Data Science, receive feedback, and improve how they present their work.
Learners practice Data Science, receive feedback, and improve how they present their work.
Instructor section
AI Scholars mentors provide industry-focused guidance through hands-on learning, real-world projects, code reviews, portfolio development, project demonstrations, and mock interviews. Our goal is to help students build practical skills, confidence, and strong communication abilities to succeed in internships and professional careers.
Designed to help Data Science students, freshers, and working professionals move from learning to practical execution.
Designed to help Data Science students, freshers, and working professionals move from learning to practical execution.
Designed to help Data Science students, freshers, and working professionals move from learning to practical execution.
Designed to help Data Science students, freshers, and working professionals move from learning to practical execution.
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View courseFAQs
Yes. The program starts with fundamentals and moves toward practical projects and portfolio readiness.
Internship guidance is available with project tracks, mentor reviews, and certification options.
Yes. Projects are part of the learning path so students can demonstrate real work.
AI Scholars supports resume improvement, mock interviews, portfolio review, and career counseling.
Helpful next pages
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