Introduction to Data Analytics using Python

Course description

Python is a high-level programming language that is widely in use today. Python code is highly readable, and its syntax ensures programmers write code that is properly-indented and clear. Python is supported on most platforms and is well suited for a wide variety of tasks – ranging from automating your daily platform tasks, to running as a standalone Web Server. In this two-day workshop, you will venture into the world of Data Analytics! You will learn how you can use the various libraries and tools with Python to turn your data into your most valuable assets!

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
  • 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:

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