Become job-ready in Data Science with real projects and expert guidance.
Build real-world Data Science skills through hands-on projects and mentorship.
Course fee₹34,999
Duration6 months · 24 wks
FormatLive, mentor-led
Projects8+ real projects
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.
6-Month Data Science Curriculum
Build industry-ready skills through a structured weekly path
Python, Data Analysis & Visualization
- Week 1Python Basics (variables, data types, loops, functions) + Jupyter & Colab
- Week 2Lists, dictionaries, error handling, NumPy & Pandas intro
- Week 3Pandas data wrangling – filtering, grouping, aggregations
- Week 4Visualization with Matplotlib & Seaborn
Statistics, SQL & Excel for Analytics
- Week 5Mean, median, std dev, z-scores, probability distributions
- Week 6Hypothesis testing – t-test, ANOVA, chi-square
- Week 7SQL – joins, window functions, CTEs
- Week 8Advanced Excel – pivot tables, dashboards, formulas
Machine Learning Basics
- Week 9ML workflow, supervised vs unsupervised, scikit-learn intro
- Week 10Linear & logistic regression + model evaluation (R², AUC)
- Week 11KNN, Decision Trees, Random Forests + CV & confusion matrix
- Week 12K-Means, clustering, PCA & dimensionality reduction
Advanced ML, Feature Engineering & NLP
- Week 13Feature engineering, encoding, scaling, selection
- Week 14GridSearchCV, RandomizedSearchCV, model evaluation
- Week 15Text preprocessing, TF-IDF, sentiment analysis
- Week 16Topic modeling (LDA), Word2Vec, spaCy basics
Deep Learning & GenAI
- Week 17Neural nets with Keras – forward/backprop, activations
- Week 18CNNs, transfer learning, real-world image classification
- Week 19RNNs, LSTMs, time series (e.g., stock forecasting)
- Week 20GenAI with BERT, GPT, LangChain & ChatGPT API
Projects, Portfolio & Deployment
- Week 21Streamlit & Flask dashboards for ML apps
- Week 22Deploy apps on AWS, HuggingFace, GitHub, Render
- Week 23Capstone – full pipeline from EDA to model to deployment
- Week 24Resume, LinkedIn, GitHub, mock interviews & job prep
Job-ready with placement support
Mock interviews, referrals, resume and portfolio reviews, and guidance until you land a real tech role.
The stack you’ll master
Industry-relevant tools you’ll use hands-on in live classes and projects.
Projects you’ll build
Hands-on projects that strengthen your skills and showcase your job-ready experience.
Uber Ride Demand Prediction
Data Cleaning + EDA + Linear Regression
Amazon Product Review Sentiment Analysis
NLP + TextBlob/TF-IDF + WordCloud
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
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
Built for where you are today
Whether you are starting from scratch or switching careers, this program is designed to get you job-ready.
Career support included
- Mock interviews
- Job referrals
- Resume & LinkedIn reviews
- Portfolio feedback
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.
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.
The curriculum is perfectly structured. Each week built on the last, and the capstone project gave me something great to present.
As a working professional, the SQL, Python, and ML sections helped me switch to a more data-focused role. Highly recommend this course.
I loved the deployment modules using Streamlit and Flask. This helped me showcase my models and impress during interviews.
What I appreciated most was that they didn’t assume prior coding knowledge. I started from zero and now build real models!
This course turned me from a complete beginner to someone who confidently builds machine learning models. The projects and mentorship were incredibly helpful.
The curriculum is perfectly structured. Each week built on the last, and the capstone project gave me something great to present.
As a working professional, the SQL, Python, and ML sections helped me switch to a more data-focused role. Highly recommend this course.
I loved the deployment modules using Streamlit and Flask. This helped me showcase my models and impress during interviews.
What I appreciated most was that they didn’t assume prior coding knowledge. I started from zero and now build real models!
The Amazon review project was my favorite! I now understand NLP so much better and added it proudly to my GitHub.
Great course structure, real projects, and helpful mentors. It was the best decision I made for my career switch.
The Git and GitHub sessions were a real eye-opener. I now push code, create branches, and manage projects confidently.
Each mentor gave practical insights from their own experience. The feedback I received was incredibly valuable.
The resume reviews and mock interviews really made a difference. I felt interview-ready by the end of the course.
The Amazon review project was my favorite! I now understand NLP so much better and added it proudly to my GitHub.
Great course structure, real projects, and helpful mentors. It was the best decision I made for my career switch.
The Git and GitHub sessions were a real eye-opener. I now push code, create branches, and manage projects confidently.
Each mentor gave practical insights from their own experience. The feedback I received was incredibly valuable.
The resume reviews and mock interviews really made a difference. I felt interview-ready by the end of the course.
Questions? We’ve got answers.
Everything about the Data Science course, classes, certification and placement support.
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Ready to Start Your Career In Data Science?
Unlock the Power of Data. Transform Your Career. Start Your Data Science Journey Today!
Course fee ₹34,999 · Prefer email? info@techknowledgehub.org