Udemy – Python Programming for Data Analysis: Ultimate Guide 2024-8

Apr 18, 2025 - 19:05

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Python Programming for Data Analysis: Ultimate Guide. This course is designed for those who want to become data analysts and gain practical skills to solve real-world business problems. This course was created by a senior data analyst with 10 years of experience in the insurance and healthcare sectors. It introduces you to the basic knowledge and key concepts of data loading, data manipulation, data aggregation, and how to use libraries/packages in a simple way. In this course, you will enter the world of data analysis step by step. With each lecture and lab exercise, you will gain and develop an understanding of these concepts to tackle real-world data problems. The course mainly uses Python to solve exercises and a final project. This course is packed with real-world data/business problems that I have solved during my career as a senior data analyst. You will not only learn the concepts, but also gain practical and applicable experience from the course.

What you will learn:

Install Python and the necessary libraries to set up a perfect coding environment.
Mastery of data type conversion and formatting techniques for consistent data representation.
Use Pandas functions for efficient data manipulation tasks.
Implement different types of join operations to effectively merge datasets.
Aggregate data and engineer new features for insightful analysis.
Effectively manage date and time data using Python libraries.
Create customizable visualizations with libraries like Matplotlib and Seaborn to effectively communicate data.
Complete a final project: E-commerce data using concepts and skills learned from this course to create effective visualizations and communicate findings.

Who is this course suitable for?

This course is designed for people who have no prior experience with tools (e.g., R or Python).
For new graduates looking for a data analysis job.
For career changers who want to become data analysts or advance their skills beyond Excel spreadsheets.

Course details for Python Programming for Data Analysis: Ultimate Guide

Publisher: Udemy
Instructor: Taesun Yoo
Training level: Beginner to advanced
Training duration: 11 hours and 54 minutes
Number of lessons: 114

Course headings

Prerequisites for the Python Programming for Data Analysis: Ultimate Guide course

Operating Systems: 64-bit versions of Microsoft Windows 7, 8.1 and 10 or Mac
Installation of Python and necessary libraries using Anaconda
No prior experience in Python but highly desirable to know some basic analytics with Excel

Udemy – Python Programming for Data Analysis: Ultimate Guide 2024-8