Python

(SR-PYTHON.AA1)
Lab
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Skills You’ll Get

1

Introduction to Python

  • Getting Started with Jupyter Notebook
  • Working with Variables
  • Using the input() Function
  • Using the round() Function
  • Working with Operators
  • Displaying the Multiplication Table
  • Calculating the Square Root
  • Getting Started with Visual Studio Code
  • Using Conditional Statements
  • Working with the if Statement
  • Using Loops
  • Using the for Loop and the range Function
  • Working with Functions and Classes
  • Using Custom Exception Class in Python
  • Working with Function Arguments
  • Using a lambda Expression
  • Working with Lists
  • Arranging and Presenting Data Using Dictionaries
  • Combining Dictionaries
  • Storing Company Employee Table Data Using a List and a Dictionary
  • Working with Dictionaries
  • Working with Tuples
  • Finding the Mean and Median from a Collection of Income Data
2

Descriptive Statistics

  • Performing Descriptive Statistics Using Python
  • Finding the Inter Quartile Range
3

NumPy

  • Creating Two-Dimensional Array Using NumPy
  • Filtering Array using NumPy
4

Probability Distribution

  • Generating Random Numbers to Simulate the Probability
5

Pandas

  • Using the Pandas Library
  • Creating a Correlation Heat Chart
  • Working with Files
6

Data Visualization with Matplotlib.pyplon & Seaborn

  • Plotting a Histogram
7

Inferential Statistics and Hypothesis Testing

  • Performing Hypothesis Testing
  • Performing Z-Test
8

Hypothesis Testing - Two Sample Tests, ANOVA, GoF & Contingency Tables

  • Conducting ANOVA

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