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Data Cleaning and Manipulating with Python in Excel

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1:53:27

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  • 01 - Leverage Python in Excel.mp4
    00:36
  • 02 - What you should know.mp4
    00:44
  • 01 - Dataframes.mp4
    03:03
  • 02 - Missing values.mp4
    05:23
  • 03 - Removing duplicates.mp4
    05:39
  • 04 - Correcting date types.mp4
    03:56
  • 05 - Challenge Data cleaning.mp4
    01:04
  • 06 - Solution Data cleaning.mp4
    06:11
  • 01 - Cleaning text data.mp4
    05:11
  • 02 - Time data.mp4
    05:06
  • 03 - Validating data.mp4
    03:41
  • 04 - Manipulating columns.mp4
    04:49
  • 05 - Challenge Advanced data cleaning.mp4
    01:07
  • 06 - Solution Advanced data cleaning.mp4
    04:59
  • 01 - Data aggregation.mp4
    04:41
  • 02 - Filtering and sorting.mp4
    06:23
  • 03 - Grouping data.mp4
    05:15
  • 04 - Manipulating text data.mp4
    04:22
  • 05 - Challenge Data manipulation.mp4
    01:02
  • 06 - Solution Data manipulation.mp4
    05:26
  • 01 - Merging and joining.mp4
    07:00
  • 02 - PivotTables.mp4
    06:22
  • 03 - Creating charts.mp4
    06:19
  • 04 - Data trends.mp4
    05:40
  • 05 - Challenge Advanced data manipulation.mp4
    01:12
  • 06 - Solution Advanced data manipulation.mp4
    07:10
  • 01 - Your next steps with Python in Excel.mp4
    01:06
  • Description


    In this specialized course, data analyst Chris French focuses on leveraging Python within Excel for efficient data cleaning and manipulation tasks. Explore data cleaning techniques, text and string manipulation, and numeric data cleaning. Hone your skills with advanced data cleaning challenges. Gain proficiency in using Python for data cleaning and manipulation tasks within Excel. Plus, master essential data cleaning techniques, including handling missing values and duplicates, standardizing data formats, and learning concepts to real-world datasets and scenarios to effectively clean and prepare data for analysis or reporting.

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    LinkedIn Learning is an American online learning provider. It provides video courses taught by industry experts in software, creative, and business skills. It is a subsidiary of LinkedIn. All the courses on LinkedIn fall into four categories: Business, Creative, Technology and Certifications. It was founded in 1995 by Lynda Weinman as Lynda.com before being acquired by LinkedIn in 2015. Microsoft acquired LinkedIn in December 2016.
    • language english
    • Training sessions 27
    • duration 1:53:27
    • English subtitles has
    • Release Date 2024/12/06