14 WeeksIntermediate
Applied Data Science & Machine Learning
Transform raw data into predictive insights using Python, Pandas, and Scikit-Learn.
Course Overview
Data is the new oil, but it requires refinement. This program takes you deep into the world of statistical analysis, data wrangling, and machine learning algorithms. You'll work with real-world datasets across finance, healthcare, and e-commerce to build predictive models that drive business decisions.
Curriculum
Week 1-3
Python for Data Science
- Advanced Python & NumPy
- Data Manipulation with Pandas
- Data Visualization (Matplotlib/Seaborn)
Week 4-7
Statistical Foundations
- Probability Theory
- Hypothesis Testing
- A/B Testing Methodologies
Week 8-11
Machine Learning Core
- Linear & Logistic Regression
- Decision Trees & Random Forests
- Clustering Algorithms (K-Means)
Week 12-14
Advanced Topics
- Natural Language Processing (NLP) basics
- Model Deployment (FastAPI)
- Capstone Project
Who is this for?
Analysts
Data analysts wanting to transition to forecasting and ML.
Engineers
Software developers adding ML to their skillset.
Researchers
Academics needing to process large datasets programmatically.
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Access to course materials for life
1-on-1 mentorship sessions