Data Analysis with Python Essential Training
by Tertiary Infotech Pte. Ltd
These are the exercise files used for Data Analysis with Python Essential Training course.
The course outline can be found in
https://www.tertiarycourses.com.sg/python-data-analysis-training-in-singapore.html https://www.tertiarycourses.com.my/python-data-analysis-training-in-malaysia.html
Module 1 Python Data Analysis Libraries
- Data Analysis Components
- Data Analysis Steps
- Python Data Analysis Libraries
Module 2 Overview of Numpy
- What is Numpy?
- 1D and 2D Array
- Array Arithmetics
- Special Functions
- Math Functions
- Selecting and Slicing Array Elements
- Filtering Array Elements
- Transforming Array
- Statistics
Module 3 Data Analysis with Pandas
- Series
- Data Frame
- Selecting/Slicing Data
- Import/Export Data - CSV, Excel, Internet
- Filtering Data
- Missing Data
- Removing Duplicated Data
- Joining Data from Different Sources
- Transforming Data
- Aggregating Data
- Pandas Statistics
Module 4 Data Visualization with Matplotlib & Seaborn
- Overview of Matplotlib & Seaborn
- Plot Types
- Plot Attributes
- Object Oriented Plots
- Time Series Plot
Module 5 Intro to Machine Learning with Scikit-Learn
- Overview of Scikit-Learn
- Supervised and Unsupervised Learning
- Classification
- Regression
- Clustering
- PCA