Free Download: Learn Python for Excel Data Cleaning
Learn how to clean and manipulate data in Excel using Python. Stream premium video course for free and boost your data skills today.
Data Cleaning and Manipulating with Python in Excel Overview:
This premium video course is completely free and helps you master data cleaning techniques using Python inside Excel. You will explore how to clean text, handle numeric data, and manage string manipulation directly in your spreadsheets. With expert guidance from Chris French, you can gain real-world insights into improving your workflow by automating repetitive Excel tasks using Python scripts.
You’ll apply methods like removing duplicates, managing missing values, and standardizing data formats. Through advanced challenges, this course prepares you for practical data issues in business and analytics. Learn everything hands-on with real examples, and get ready to streamline your data preparation process using Python without leaving Excel.
Master data cleaning and manipulation in Excel with Python—quick, smart, and completely free.
What You’ll Learn in Data Cleaning and Manipulating with Python in Excel:
- Use Python to clean and prepare Excel data
- Remove duplicates and handle missing values efficiently
- Manipulate text and string values inside spreadsheets
- Standardize inconsistent data formats using Python
- Apply concepts to real-world data analysis tasks
Course Highlights:
- Expert-Led Training: Learn from Chris French, an experienced data analyst
- Real-World Applications: Solve practical data problems using Excel and Python
- Intermediate Level: Designed for those with basic knowledge of Python and Excel
- Quick Duration: Complete the course in under two hours
- Updated Content: Latest 2024 version with relevant examples
Python Excel Data Course Info:
Chris French created this intermediate-level course to show how Python can make data cleaning in Excel more efficient. Released by LinkedIn in October 2024, the course runs for 1 hour and 53 minutes. You’ll download a 269 MB archive file containing all necessary resources. It covers key areas such as Excel automation, data cleaning techniques, and manipulation methods that are vital for developers and data professionals working with spreadsheets.
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