Become job-ready in Data Science with real projects and expert guidance.

Build real-world Data Science skills through hands-on projects and mentorship.

Why Choose This Data Science Program?

Your complete roadmap to becoming a job-ready Data Scientist — built for beginners, career switchers, and professionals alike.

Designed for All Backgrounds

Whether you're a fresher, career switcher, or working professional, the course is beginner-friendly and career-focused.

Master Core DS Tools

Learn Python, Machine Learning, Deep Learning, GenAI, and deployment using modern tools and libraries.

10+ Real-World Projects

Apply concepts to business case studies in finance, healthcare, marketing, and more.

Capstone + Portfolio

Build a standout project and compile your GitHub portfolio to showcase your skills to employers.

1:1 Mentorship

Get personalized feedback, career guidance, and doubt-clearing sessions from industry mentors.

Interview & Career Prep

Mock interviews, resume reviews, LinkedIn optimization, and job referrals to land your first role in Data Science.

Who Can Join This Course?

This program is designed for learners at any stage — whether you're a student, working professional, freelancer, or switching careers into Data Science.

Students & Graduates

Perfect for final-year students and fresh graduates looking to build a future in Data Science.

Working Professionals

Upgrade your career and transition into Data Science roles with hands-on tools and industry projects.

Freelancers & Analysts

Turn your domain knowledge into actionable insights and expand your data career opportunities.

Career Switchers

From finance, sales, or any non-tech background? This course gives you a clear roadmap to enter Data Science.

6-Month Data Science Curriculum

Build industry-ready skills through a structured weekly path

Month 1

Python, Data Analysis & Visualization

Week 1: Python Basics (variables, data types, loops, functions) + Jupyter & Colab
Week 2: Lists, dictionaries, error handling, NumPy & Pandas intro
Week 3: Pandas data wrangling – filtering, grouping, aggregations
Week 4: Visualization with Matplotlib & Seaborn

Month 2

Statistics, SQL & Excel for Analytics

Week 5: Mean, median, std dev, z-scores, probability distributions
Week 6: Hypothesis testing – t-test, ANOVA, chi-square
Week 7: SQL – joins, window functions, CTEs
Week 8: Advanced Excel – pivot tables, dashboards, formulas

Month 3

Machine Learning Basics

Week 9: ML workflow, supervised vs unsupervised, scikit-learn intro
Week 10: Linear & logistic regression + model evaluation (R², AUC)
Week 11: KNN, Decision Trees, Random Forests + CV & confusion matrix
Week 12: K-Means, clustering, PCA & dimensionality reduction

Month 4

Advanced ML, Feature Engineering & NLP

Week 13: Feature engineering, encoding, scaling, selection
Week 14: GridSearchCV, RandomizedSearchCV, model evaluation
Week 15: Text preprocessing, TF-IDF, sentiment analysis
Week 16: Topic modeling (LDA), Word2Vec, spaCy basics

Month 5

Deep Learning & GenAI

Week 17: Neural nets with Keras – forward/backprop, activations
Week 18: CNNs, transfer learning, real-world image classification
Week 19: RNNs, LSTMs, time series (e.g., stock forecasting)
Week 20: GenAI with BERT, GPT, LangChain & ChatGPT API

Month 6

Projects, Portfolio & Deployment

Week 21: Streamlit & Flask dashboards for ML apps
Week 22: Deploy apps on AWS, HuggingFace, GitHub, Render
Week 23: Capstone – full pipeline from EDA to model to deployment
Week 24: Resume, LinkedIn, GitHub, mock interviews & job prep

Tools & Technologies Covered

Master industry-standard tools across Python, ML, NLP, GenAI, and deployment platforms

Python

SQL

NumPy

Pandas

Matplotlib

Seaborn

Scikit-learn

TensorFlow

Keras

spaCy

Google Colab

Jupyter

Excel

Streamlit

Flask

HuggingFace

GPT

AWS

Render

GitHub

Real Projects You’ll Build

Hands-on projects that strengthen your skills and showcase your job-ready experience.

Beginner Projects

Uber Ride Demand Prediction

Data Cleaning + EDA + Linear Regression

Amazon Product Review Sentiment Analysis

NLP + TextBlob/TF-IDF + WordCloud

Intermediate Projects

Sales Forecasting for a Retail Company

Time Series + ARIMA + Prophet

Netflix Movie Recommendation System

Collaborative Filtering + Cosine Similarity

Credit Card Fraud Detection

Anomaly Detection + Logistic Regression

Advanced Projects

Personal Portfolio Dashboard with Streamlit

Interactive UI + Charts + GitHub Deployment

Resume Screening Bot using NLP

spaCy + Streamlit + Keyword Matching

SQL Data Dashboard for a Marketing Dataset

MySQL + Joins + Aggregate Queries + Visualization

What Our Students Say

“This course turned me from a complete beginner to someone who confidently builds machine learning models. The projects and mentorship were incredibly helpful.”

Pooja A., Bengaluru

“The curriculum is perfectly structured. Each week built on the last, and the capstone project gave me something great to present.”

Rohan Mehta, Pune

“As a working professional, the SQL, Python, and ML sections helped me switch to a more data-focused role. Highly recommend this course.”

Surbhi Jain, Gurugram

“I loved the deployment modules using Streamlit and Flask. This helped me showcase my models and impress during interviews.”

Mohit Kumar, Noida

“What I appreciated most was that they didn’t assume prior coding knowledge. I started from zero and now build real models!”

Nikhil Desai, Mumbai

“The Amazon review project was my favorite! I now understand NLP so much better and added it proudly to my GitHub.”

Kritika S., Delhi NCR

“Great course structure, real projects, and helpful mentors. It was the best decision I made for my career switch.”

Arjun Rao, Chennai

“The Git and GitHub sessions were a real eye-opener. I now push code, create branches, and manage projects confidently.”

Mitali Verma, Ahmedabad

“Each mentor gave practical insights from their own experience. The feedback I received was incredibly valuable.”

Tushar Kulkarni, Nagpur

“The resume reviews and mock interviews really made a difference. I felt interview-ready by the end of the course.”

Ayesha Fatima, Hyderabad

Ready to Start Your Career In Data Science?

Unlock the Power of Data. Transform Your Career. Start Your Data Science Journey Today!

Frequently Asked Questions?

Is this course beginner-friendly?

Yes. It starts with Python basics and progressively builds your skills step-by-step.

What if I don’t have a powerful laptop?

No problem! You’ll use Google Colab, which runs on the cloud.

Will I get a job after this course?

We offer resume help, mock interviews, and connect you with hiring partners. Your projects will also boost your portfolio.

Are the classes live or recorded?

Live classes every week, with full recordings and notes available afterward.

Will I get a certificate?

Yes. You will receive a certificate from TechKnowledgeHub.org after completing the course and projects.

Can I access the course later?

Categories