Data Science
4.5 (1645 Ratings)4k+ Learners4 WeeksFlexible
This 30-day program covers Python for data analysis, data wrangling, visualization, statistics, machine learning, and real-world project deployment. Master end-to-end data science workflows through hands-on assignments, mentorship sessions, and a capstone project to power up your portfolio.
Week 1
- Introduction to Data Science and Python
- Data Structures and Libraries (Pandas, NumPy)
- Exploratory Data Analysis (EDA)
Week 2
- Data Preprocessing and Feature Engineering
- Statistical Methods and Hypothesis Testing
- Data Visualization with Matplotlib and Seaborn
Week 3
- Machine Learning: Regression and Classification
- Model Evaluation and Performance Metrics
- Capstone: Predictive Analysis on Real-world Data
Week 4
- Advanced Topics: Time Series and Clustering
- Deployment of ML Models and Data Science Career Paths
