Python in Excel: Data Analysis with Pandas DataFrames [2024]

Python in Excel: Data Analysis with Pandas DataFrames [2024], available at $49.99, has an average rating of 5, with 29 lectures, based on 5 reviews, and has 47 subscribers.

You will learn about Leverage Python libraries like pandas within Excel to enhance data analysis capabilities. Work with pandas DataFrames in Excel for efficient data analysis. Convert different Excel data sources into pandas DataFrames. Techniques such as data filtering, removing duplicates, and adding new columns to a DataFrame. Combine and reindex DataFrames for more complex analysis. Use Pandas, Seaborn, Matplotlib & more directly in Excel Time Series Analysis with Pandas in Excel This course is ideal for individuals who are Data professionals looking to enhance their data analysis skills using Python and Excel. or Students or researchers interested in learning how to work with DataFrames for data analysis. or Individuals already familiar with Excel but wanting to explore how Python can enhance their data analysis capabilities. It is particularly useful for Data professionals looking to enhance their data analysis skills using Python and Excel. or Students or researchers interested in learning how to work with DataFrames for data analysis. or Individuals already familiar with Excel but wanting to explore how Python can enhance their data analysis capabilities.

Enroll now: Python in Excel: Data Analysis with Pandas DataFrames [2024]

Summary

Title: Python in Excel: Data Analysis with Pandas DataFrames [2024]

Price: $49.99

Average Rating: 5

Number of Lectures: 29

Number of Published Lectures: 29

Number of Curriculum Items: 29

Number of Published Curriculum Objects: 29

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Leverage Python libraries like pandas within Excel to enhance data analysis capabilities.
Work with pandas DataFrames in Excel for efficient data analysis.
Convert different Excel data sources into pandas DataFrames.
Techniques such as data filtering, removing duplicates, and adding new columns to a DataFrame.
Combine and reindex DataFrames for more complex analysis.
Use Pandas, Seaborn, Matplotlib & more directly in Excel
Time Series Analysis with Pandas in Excel

Who Should Attend

Data professionals looking to enhance their data analysis skills using Python and Excel.
Students or researchers interested in learning how to work with DataFrames for data analysis.
Individuals already familiar with Excel but wanting to explore how Python can enhance their data analysis capabilities.

Target Audiences

Data professionals looking to enhance their data analysis skills using Python and Excel.
Students or researchers interested in learning how to work with DataFrames for data analysis.
Individuals already familiar with Excel but wanting to explore how Python can enhance their data analysis capabilities.

Python in Excel: Mastering Pandas DataFrames is a comprehensive course designed to enhance your data analysis skills by integrating Python and Excel functionalities. Python and Excel are prominent tools in data analytics and science, and this course demonstrates the amplified capabilities when they are used together.

The course starts with fundamental concepts, introducing Python’s integration with Excel and troubleshooting common errors. You’ll learn how to leverage your data seamlessly within Python using the xl() function. Moving into Pandas basics, you’ll explore DataFrames and Series, along with techniques for data selection, calculations, and manipulation, all within the Python editor.

As you progress, the focus shifts to advanced data analysis with Pandas, covering data cleaning, text manipulation, DataFrame combination, and data aggregation techniques. The course also delves into plotting essentials, demonstrating basic plotting techniques and creating scatter plots using Seaborn.

A significant portion of the course is dedicated to time series analysis using Pandas, covering topics like shifting data, calculating percentage changes, comparing time series, resampling, and correlation.

Throughout the course, you’ll work through practical examples tailored for Excel, such as fixing dates and creating sales dashboards. By the end, you’ll have a solid understanding of leveraging Python’s Pandas library within Excel for effective data analysis and visualization. This course is ideal for data analysts, and anyone seeking to streamline their data workflows using Python and Excel together.

Course Curriculum

Chapter 1: Getting started

Lecture 1: Course Introduction

Lecture 2: IMPORTANT: What you should know

Chapter 2: Python in Excel: The Basics

Lecture 1: Welcome!

Lecture 2: Python in excel

Lecture 3: Getting set up

Lecture 4: Download exercise files

Lecture 5: Fixing errors and troubleshooting

Lecture 6: Using Python in Excel

Lecture 7: Using your data in Python

Lecture 8: The xl() function

Chapter 3: Pandas: The Basics

Lecture 1: DataFrame and Series

Lecture 2: Data Selection

Lecture 3: Calculations

Lecture 4: Rows: Filtering & Sorting

Lecture 5: Manipulating DataFrames

Lecture 6: Working with Python Editor

Chapter 4: Pandas: Data Analysis

Lecture 1: Data Cleaning

Lecture 2: Text Data Manipulation

Lecture 3: DataFrame Combination

Lecture 4: Data Aggregation

Chapter 5: Plotting

Lecture 1: Plotting Basics

Lecture 2: Scatter plot

Chapter 6: Pandas: Time series analysis

Lecture 1: Time Series Basics

Lecture 2: Time Series Analysis Using pandas DataFrames

Lecture 3: Shifting and Percentage Changes

Lecture 4: Comparing Time Series Data

Lecture 5: Resampling and Correlation

Chapter 7: BONUS: Practical Python in Excel Examples

Lecture 1: Dashboard Sales

Chapter 8: Course Conclusion

Lecture 1: Conclusion

Instructors

Felix .
Expert Data Analyst

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5 stars: 5 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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