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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

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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

Week 4: Network Evolution

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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

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