Data Science with Python
Master statistics, Python, machine learning, and data visualization to become a job-ready data scientist.
Who This Course Is For
- Freshers with a quantitative background (engineering, statistics, commerce)
- Working professionals moving into analytics/data roles
- Python developers wanting to specialize in data
Prerequisites
- Basic Python or willingness to learn it in the first module
- Comfort with basic mathematics/statistics
Full Curriculum
7 modules · 110 hours of live instruction
1Python for Data Science~16 hrs
- NumPy and pandas fundamentals
- Data cleaning and wrangling
- Working with CSV/Excel/SQL data sources
2Statistics & Probability~18 hrs
- Descriptive and inferential statistics
- Probability distributions
- Hypothesis testing and A/B testing
3Data Visualization~10 hrs
- Matplotlib and Seaborn
- Building interactive dashboards
- Storytelling with data
4SQL for Analysis~8 hrs
- Joins, window functions, aggregations
- Query optimization for analytics
- Connecting SQL to Python workflows
5Machine Learning Fundamentals~24 hrs
- Regression and classification algorithms
- Model evaluation metrics
- Feature engineering and selection
6Advanced ML & Model Deployment~16 hrs
- Ensemble methods (Random Forest, XGBoost)
- Cross-validation and hyperparameter tuning
- Deploying models with Flask/FastAPI
7Capstone Projects~18 hrs
- End-to-end business analytics case study
- Predictive modeling project
- Portfolio and interview preparation
Tools & Technologies Covered
Hands-On Projects
Customer Churn Prediction
End-to-end classification pipeline predicting subscription churn with business recommendations.
Sales Forecasting Dashboard
Regression-based forecasting model paired with an interactive visualization dashboard.
A/B Test Analysis
Statistical analysis of a simulated product experiment with significance testing and reporting.
What You'll Be Able to Do
Frequently Asked Questions
Do I need a math/statistics background to join?
A basic quantitative background helps, but the Statistics & Probability module is taught from fundamentals within the course.
Is Python taught from scratch here too?
The Python for Data Science module covers what you need for this course; if you have zero programming background, we recommend our standalone Python Programming course first.
What is the batch schedule?
Weekday batches run 7-9 PM IST; weekend batches run Saturday-Sunday 10 AM-1 PM IST, recorded for lifetime access.
Data Science vs Machine Learning course — what is the difference?
This course covers the full data science workflow (stats, analysis, visualization, and applied ML); our Machine Learning course goes deeper into algorithms, deep learning, and model optimization for those specializing further.
Is placement support included?
Yes — resume building, mock interviews, and referrals to our hiring partner network are included.
What salary can I expect after this course?
Freshers with strong project portfolios typically start at ₹5-8 LPA in analyst/junior data scientist roles; experienced professionals switching from adjacent roles often see larger jumps.
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Ready to Start Data Science with Python?
Next batch enrolling now — live online, with placement support included.