Python Programming for Data Analysis Course Overview

Overview:

The Python Programming for Data Analysis course at Artisan Alley Learning is designed to provide participants with the essential programming skills needed for data analysis tasks using Python. This course covers the basics of Python programming language and explores its applications in data manipulation, visualization, and analysis.

Description:

This course offers a comprehensive introduction to Python programming for data analysis. Participants will learn Python syntax, data structures, and control flow, as well as how to use popular libraries such as NumPy, Pandas, and Matplotlib for data manipulation and visualization. Through hands-on exercises and projects, participants will develop practical programming skills and gain confidence in using Python for data analysis tasks.

Objectives:

• Understand the fundamentals of Python programming language

• Learn how to manipulate and analyze data using Python libraries

• Develop skills in data visualization and exploration

• Gain proficiency in writing Python scripts for data analysis tasks

• Apply Python programming techniques to real-world data sets

Course Content Overview:

Module 1: Introduction to Python Programming

• • Overview of Python syntax and data types

  • Control flow statements and functions in Python

Module 2: Data Manipulation with NumPy and Pandas

• • Introduction to NumPy arrays and Pandas DataFrames

  • Data manipulation techniques using NumPy and Pandas

Module 3: Data Visualization with Matplotlib

• • Creating basic plots and charts using Matplotlib

  • Customizing plots and adding annotations

Module 4: Exploratory Data Analysis

• • Techniques for exploring and summarizing data

  • Statistical analysis with Python libraries

Module 5: Introduction to Machine Learning with scikit-learn

• • Overview of machine learning concepts

  • Building and evaluating machine learning models using scikit-learn

Module 6: Real-World Data Analysis Projects

• • Applying Python programming skills to real-world data analysis tasks

  • Developing data analysis pipelines and workflows

Potential Career Paths:

Completion of this course can lead to various career opportunities, including:

• Data Analyst

• Business Intelligence Analyst

• Data Scientist

• Research Analyst

• Python Developer

Enrollment Requirement:

Participants must possess basic computer skills and familiarity with algebra and statistics. 

Benefits:

• Access to 15 downloadable ebooks covering supplementary materials and resources

• Certificate of completion upon finishing the course

• Enhanced Python programming skills for data analysis tasks