This DataCamp course teaches how to combine statistical and machine learning techniques with Python programming to analyze and interpret complex data.
There are 22 courses in this track.
- Introduction to Python
- Intermediate Python for Data Science
- Python Data Science Toolbox (Part 1)
- Python Data Science Toolbox (Part 2)
- Import Data in Python (Part 1)
- Import Data in Python (Part 2)
- Cleaning Data in Python
- pandas Foundations
- Manipulating DataFrames with pandas
- Merging DataFrames with pandas
- Intro to SQL for Data Science
- Introduction to Databases in Python
- Introduction to Data Visualization with Python
- Interactive Data Visualization with Bokeh
- Statistical Thinking in Python (Part 1)
- Statistical Thinking in Python (Part 2)
- Joining Data in SQL
- Supervised Learning with scikit-learn
- Machine Learning with the Experts: School Budgets
- Unsupervised Learning in Python
- Deep Learning in Python
- Network Analysis in Python (Part 1)