Data Science in Python: Pandas, Scikit-learn, Numpy, Matplotlib (Udemy)
Jimit Dholakia
Course Link: https://www.udemy.com/data-science-with-python-and-pandas
Contents:
- Data Analysis with Numpy
- Introduction to Numpy
- Numpy array
- Numpy array Operations
- Indexing, Slicing
- Data Analysis with Pandas
- Introduction to Pandas
- Introduction to Series
- Introduction to DataFrame
- DataFrame- Index, Multiindex
- Handling Missing Data- dropna, fillna
- Grouping Data
- Read, Write .csv, .html, excel file
- Visualization of data with pandas
- Data Visualization with Matplotlib
- Introduction
- Matplotlib- Basic Plotting, Plotting Terminology
- Matplotlib- Subplots
- Matplotlib- Special plot
- Importing Data in Python
- Introduction
- Reading plain text file
- Reading .csv file
- Reading Excel and .m Matlab file
- Read SQLite Database
- Fetch Data from Remote file
- Data Preprocessing
- Introduction
- Reading Data
- Handling Missing Data
- Categorical Data
- Splitting Data in Training and Testing Set
- Normalize Data
- Web Scraping
- What is Web Scraping
- Web Scraping Process
- Search Element by TagName and TagByClass
- Practical Activity
- Data Transformation and Scaling Data
- Introduction
- Rescale Data - Standardize Data
- Normalize Data - Binarize Data