This specialization is designed to teach learners beginning and intermediate concepts of statistical analysis using the Python programming language. Learners will learn where data come from, what types of data can be collected, study data design, data management, and how to effectively carry out data exploration and visualization.

They will be able to utilize data for estimation and assessing theories, construct confidence intervals, interpret inferential results, and apply more advanced statistical modeling procedures. Finally, they will learn the importance of and be able to connect research questions to the statistical and data analysis methods taught to them.

The Program 

1. Introduction to Data Science in Python.
2. Applied Plotting, Charting & Data Representation in Python.
3. Applied Machine Learning in Python.
4. Applied Text Mining in Python.
5. Applied Social Network Analysis in Python.

What will you learn

• Conduct an inferential statistical analysis.
• Discern whether a data visualization is good or bad.
• Enhance a data analysis with applied machine learning.
• Analyze the connectivity of a social network.