10 Aug
|
BLUEFOXLABS
|
Kochi
All certification tracks
Bright Minds
Certification track
Python AI & Data Science Qualified
From zero to job-ready in 6 months
6 months
24 weeks
5 days/week
Live & Recorded Classes
01
6 Mo
Duration
24
Weeks
14
Modules
5d/wk
Live Classes
A beginner-friendly 6-month track that takes you from Python basics through machine learning, deep learning, and Keras. Work with real datasets—from Loan Prediction to ensemble models—and leave with a portfolio recruiters actually open.
Learn → Practice → Build → Deploy. Fourteen focused modules over 24 weeks—from Python basics through machine learning, deep learning, and Keras. Outcome: internship and junior-role ready.
What you will gain
✓Master Python for data analysis, from fundamentals to production libraries
✓Clean, explore, and model real-world datasets with Pandas and scikit-learn
✓Apply supervised, unsupervised, and ensemble ML techniques with confidence
✓Build and train neural networks with PyTorch and Keras
✓Portfolio with end-to-end projects—not notebook demos
✓Job-ready for intern and junior data/AI roles
Built for
→Complete beginners starting their data career
→Students and graduates targeting data analyst or ML roles
→Career switchers with no prior coding background
→Self-learners who want structure, projects, and accountability
01Curriculum
Four phases. Zero fluff.
01
Python for Data Analysis — Foundations
Module 1
Weeks 1–2
Why learn Python for data analysisInstalling Python and running simple programsLists, strings, tuples, and core data structuresIteration, conditional constructs, and control flow
Outcome:Write foundational Python scripts—logic and data structures ready for analysis
02
Python Libraries & the Data Ecosystem
Module 2
Weeks 3–4
NumPy, SciPy, Matplotlib, and PandasScikit-learn, Statsmodels, Seaborn, and BokehBlaze, Scrapy, SymPy, Requests, and LLM applications
Outcome:Explore and compare key data-science libraries on sample datasets
03
Pandas — Series, DataFrame
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