Introduction to Data Analytics using Python
Course description

Topics
- Introduction to Data Analytics
- Using Jupyter Notebook
- Introduction to Python Programming
- Basic Python Syntax
- Creating and calling functions
- Lambda functions
- Iterations and conditional statements
- Using modules and libraries
- Using the Data Libraries in Python
- Using NumPy for manipulating arrays
- Using Pandas for manipulating tabular data
- Pandas Series
- Pandas DataFrame
- Data Cleansing
- Getting sample data
- Removing empty fields
- Removing outliers
- Data Visualization
- Using matplotlib
- Displaying Linear, Bar, and Pie Charts
- Using Seaborn
- Using matplotlib
- Performing Data Analysis
- Plotting Blood Sugar readings
- Analyzing Fuel Efficiencies of car
- Analyzing birth rates of Singapore
- Analyzing Ethic Composition of Singapore
Course details
Duration: 2 days
Location: Online or at the client’s venue
Type: Data Analytics, Phyton
Trainer: Wei-Meng Lee