Apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into dat
MIT
Applied Data Science with Python Specialization
Apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into data.
Course 1: Intro. to Data Science in Python
Week 1: Python Fundameentals
Week 2: Data Processing with Pandas
Week 3: Advanceed Python Pandas
Week4: Statistical Analysis in Python
Course 2: Applied Plotting, Charting & Data Representation in Python
Week 1: Principles of Information Visualization
Week 2: Basic Charting
Week 3: Charting Fundamentals
Week 4: Applied Visualizations
Course 3: Applied Machine Learning in Python
Week 1: Machine Learning with Scikit Learn
Week 2: Supervised Machine Learning Part 1
Week 3: Evaluation
Week 4: Supervised Machine Learning Part 2
Course 4: Applied Text Mining in Python
Week 1: Working with Text in Python
Week 2: Basic Natural Language Processing
Week 3: Classification of Text
Week 4: Topic Modeling
Course 5: Applied Social Network Analysis in Python
Week 1: Networks and Basics on NetworkX
Week 2: Network Connectivity
Week 3: Influence Meeasures and Network Centralization