Microcredential in Python Programming for Data Analysis

Python is a popular programming language for data analysis because it is easy to learn and use and has a wide range of libraries available for data manipulation, visualization, and machine learning. This micro-credential is a great way to start your career in data science or advance your skills in this sought-after field. It is also a useful option for specific students in learning more about data analysis and machine learning.

Contents:

Module 1: Introduction to Python Programming
• Basic concepts of Python programming, such as variables, data types, operators, control flow, functions, and modules.
• Writing and executing Python programs.
Module 2: Data Manipulation with Python
• Importing and exporting data in Python.
• Cleaning and preparing data for analysis.
• Performing data manipulation tasks, such as sorting, filtering, and merging data.
Module 3: Data Visualization with Python
• Creating charts and graphs with Python.
• Using Python libraries for data visualization, such as Matplotlib.
Module 4: Machine Learning with Python
• Introduction to machine learning.
• Building and evaluating machine learning models with Python.
• Using Python libraries for machine learning, such as scikit-learn.
Module 5: Communicating Data Analysis Findings
• Writing effective reports and presentations to communicate data analysis findings.
• Creating data visualizations for non-technical audiences.