Know if this is the right move
Compare Data Science & ML against your current level, time, budget and career goal before you enrol.
Hottest
Build Data Science & ML proof that improves your next career conversation
Master Data Science, Machine Learning & AI with Python
Review the project roadmap, mentor support, fee plan and batch fit before you commit. You should know exactly what you will build, how it helps you, and whether this is the right next step.
4 Months guided project path
450+ Learners Trained
4.9/5 learner feedback
Fee and batch fit explained
See the structure, mentor support and admissions steps in one clear conversation.
Choose with human context, not a generic course grid. Admissions helps you compare your goal, current level, fee comfort and batch timing before you decide.
4 Months to structured project proof
12 seat cohorts for feedback
4.9 learner confidence score
Know what to build before you startGet feedback before your portfolio goes publicChoose live online or optional Pune support clearly
Only 12 learners per batch so mentors can review work properly.
INR 25,000 INR 40,000 38% OFF
- Included Live Projects
- Included Career Support Included
- Included Kaggle Competitions
- Included Lifetime Support
EMI options available. Learn live online across India, with optional Pune classroom support.
Admissions support is available from your first enquiry to batch onboarding.
Free fit check before you paySyllabus, fees and batch clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with Pune classroom support availableSmall cohorts for better feedbackFree fit check before you paySyllabus, fees and batch clarity in one callPortfolio proof you can explainMentor-reviewed project workLive online across India with Pune classroom support availableSmall cohorts for better feedback
Outcome-first learning path
Move from interest to useful Data Science & ML proof
SourceKode helps you decide whether this route is worth your time, then gives you a practical path to build, practise and show work with mentor feedback. The goal is not to collect another certificate. The goal is to become easier to trust, interview and hire.
Leave with work you can show
Build guided assignments and project outputs that are easier to explain in interviews, reviews and freelance conversations.
Get unstuck while you build
Use mentor review, live sessions and batch support to correct mistakes before they become portfolio gaps.
See the full plan upfront
Understand fees, EMI, batches, syllabus depth and online or Pune classroom fit before making a decision.
3 Months guided path to visible project proof
6 + data science projects you can discuss
12 learners per cohort for better feedback
1 clear fee, batch and syllabus plan before payment
Available across India Join Data Science & ML live online from anywhere in India, with optional Pune classroom support if you prefer in-person help. Ask for the syllabus, fee plan and batch advice before you decide.
Search-to-enrollment checkpoint
Before you enroll in Data Science & ML, get the fit checked
Based on live Search Console and GA4 behaviour, people arriving from this topic need fee, syllabus, project and batch clarity before they become confident leads. Get the decision support first, then choose the course path.
Python visitors often need a beginner-safe path that separates core coding, automation, data and job-readiness.
1 Course fit Match your current level, schedule and target role.
2 Fee clarity Understand fee plan, GST invoice support and batch options.
3 Project path See what proof you can build before interviews or freelance work.
Course Overview
Become a Data Scientist and unlock insights from data using Python, Machine Learning, and AI. Master data analysis, visualization, statistical modeling, and deep learning to solve real-world business problems.
Data Science training at SourceKode covers the complete data science pipeline from data collection to model deployment. Learn Python libraries like Pandas, NumPy, Scikit-learn, TensorFlow, and build a portfolio of industry-relevant projects.
Why Learn Data Science?
- Hottest Career: #1 job in America (Glassdoor)
- Highest Salaries: Data Scientists earn ₹8-30 LPA
- Universal Demand: Every industry needs data insights
- Future-Proof: AI/ML is the future of technology
- Problem Solving: Use data to drive business decisions
- Research Opportunities: Academia and R&D roles
- Freelance Potential: High-paying consulting projects
What You’ll Learn
- Python for Data Science: Pandas, NumPy, Matplotlib
- Statistics & Math: Probability, hypothesis testing, linear algebra
- Machine Learning: Supervised, unsupervised, ensemble methods
- Deep Learning: Neural networks, TensorFlow, Keras
- Data Visualization: Tableau, PowerBI, Seaborn
- Big Data: Spark basics, handling large datasets
- Deployment: Flask APIs, cloud deployment
Course Syllabus (100+ Hours)
Module 1: Python Programming (15 hours)
- Python basics and data structures
- NumPy for numerical computing
- Pandas for data manipulation
- Data cleaning and preparation
Module 2: Data Visualization (10 hours)
- Matplotlib and Seaborn
- Interactive plots with Plotly
- Tableau fundamentals
- PowerBI basics
- Storytelling with data
Module 3: Statistics & Mathematics (15 hours)
- Descriptive statistics
- Probability distributions
- Hypothesis testing
- Correlation and regression
- Linear algebra essentials
- Calculus basics for ML
Module 4: Machine Learning (30 hours)
- Supervised Learning:
- Linear/Logistic Regression
- Decision Trees, Random Forest
- SVM, Naive Bayes
- KNN, Gradient Boosting
- Unsupervised Learning:
- K-Means Clustering
- Hierarchical Clustering
- PCA (dimensionality reduction)
- Association Rules
- Model Evaluation:
- Train-test split, cross-validation
- Metrics: Accuracy, Precision, Recall, F1, ROC-AUC
- Confusion matrix
- Hyperparameter tuning
Module 5: Deep Learning (20 hours)
- Neural network fundamentals
- TensorFlow and Keras
- CNN for image classification
- RNN and LSTM for sequences
- Transfer learning
- Model optimization
Module 6: Natural Language Processing (8 hours)
- Text preprocessing
- Sentiment analysis
- Word embeddings (Word2Vec, GloVe)
- Text classification
Module 7: Time Series Analysis (6 hours)
- ARIMA models
- Forecasting techniques
- Seasonality and trends
Module 8: Deployment & Tools (6 hours)
- Flask API for models
- Docker basics
- Cloud deployment (AWS, Azure)
- Git and version control
- Jupyter notebooks and Google Colab
Major Projects
- Customer Churn Prediction (Classification)
- House Price Prediction (Regression)
- Image Classification (Deep Learning)
- Sentiment Analysis (NLP)
- Sales Forecasting (Time Series)
- Recommendation System (Collaborative Filtering)
Career Opportunities
Data Science offers the highest-paying tech roles:
- Data Scientist - Average: ₹8-20 LPA
- Machine Learning Engineer - Average: ₹10-25 LPA
- Data Analyst - Average: ₹5-12 LPA
- AI Engineer - Average: ₹12-30 LPA
- Research Scientist - Average: ₹15-35 LPA
Companies Hiring
- Tech Giants: Google, Microsoft, Amazon, Meta
- Indian Startups: Ola, Swiggy, Zomato, CRED
- Analytics: Mu Sigma, Fractal Analytics, Latentview
- E-commerce: Flipkart, Amazon India
- Finance: Banks, fintech companies
- Consulting: McKinsey, BCG, Deloitte
Prerequisites
- Required: Basic Python (covered in course)
- Recommended: 12th grade mathematics
- Helpful: Statistics basics (taught in course)
- Analytical mindset and problem-solving skills
Before you enrol
Get a decision call that removes the guesswork
- Tell us your current skill level and target role.
- Get a shortlist of what to learn, what to skip and what to build first.
- Pick the batch format that fits your schedule and start with a clear roadmap.
Will this fit you?
- Language English, Hindi, Marathi
- Duration 3 Months
- Lectures 100+ Hours
- Projects 6+ Data Science Projects
- Skill level Beginner to Advanced
- Certification Yes
- Max students 20
Plan your next step
Get fees, batches, project roadmap and mentor support explained before you commit.
Small cohorts for proper mentor feedback
Get full fee plan Call admissions: +91 77688 68948- Project work reviewed before you showcase it
- Interview and career support around your goal
- Flexible batch timings with EMI guidance
Mentor-led Small batches EMI support
Request a quick callback
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Common Questions
Frequently Asked Questions
Do I need a PhD or advanced degree for Data Science?
No! While PhDs help in research roles, most Data Science jobs need strong skills, not advanced degrees. Our practical, project-based course prepares graduates/undergraduates for industry roles. Portfolio with projects matters more than degrees.
Python vs R - which is better for Data Science?
Python is more versatile, easier to learn, better for production deployment, and has more job opportunities (80%+). R is great for statistics but limited scope. We teach Python - the industry standard.
Can non-IT graduates become Data Scientists?
Absolutely! Many successful Data Scientists come from Mathematics, Statistics, Economics, Engineering backgrounds. Strong analytical thinking matters more than IT degree. We teach programming from scratch.
Is mathematics necessary for Data Science?
Basic math (12th grade) is sufficient to start. We teach required statistics, linear algebra, and calculus as part of the course. Don't let math fear stop you - we make it practical and understandable.
Data Science vs Machine Learning - what is the difference?
Data Science is broader - includes data analysis, visualization, statistics, business intelligence, and ML. Machine Learning is a subset focused on predictive models. Our course covers complete Data Science including ML and Deep Learning.
What salary can Data Scientists earn in India?
Entry-level ₹6-12 LPA. With 2-3 years experience: ₹12-20 LPA. Senior Data Scientists/ML Engineers: ₹20-35 LPA. Data Science commands the highest tech salaries after Cloud Architects.
Is Kaggle important for Data Science jobs?
Kaggle competitions build skills and portfolios. Not mandatory but highly beneficial for freshers. We guide you through Kaggle competitions and building strong GitHub portfolio with 5-6 projects - crucial for Data Science interviews.
How long does it take to become job-ready in Data Science?
Our intensive 4-month course (100+ hours) with 6 projects prepares you well. Plan additional 2-3 months for deep practice, Kaggle, interview prep. Total 6-7 months from beginner to job-ready is realistic.
Upcoming cohorts
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Small cohorts for feedback Live online across India; Pune classroom optional EMI and admissions support
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