Learning Path

Data Analysis with Python in Excel

By the end of this learning path, you’ll learn:

What are Python objects, and how they relate to Microsoft Excel.
How pandas DataFrame and Series objects are fundamental to data analysis using Python.
How Python provides a repeatable process for crafting the best data tables for your analyses.
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5 Courses • 38 Lessons

Data Analysis with Python in Excel: The Basics (Day 1)

This course is Part 1 of the five-course series in the Data Analysis with Python in Excel learning path.

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Data Analysis with Python in Excel: Working with Columns (Day 2)

This course is Part 2 of the five-course series in the Data Analysis with Python in Excel learning path.

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Data Analysis with Python in Excel: Filtering DataFrames (Day 3)

This course is Part 3 of the five-course series in the Data Analysis with Python in Excel learning path.

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Data Analysis with Python in Excel: Data Cleaning and Wrangling (Day 4)

This course is Part 4 of the five-course series in the Data Analysis with Python in Excel learning path.

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Data Analysis with Python in Excel: Combining and Pivoting Tables (Day 5)

This course is Part 5 of the five-course series in the Data Analysis with Python in Excel learning path.

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What's Next?

Complete all courses in this path to earn your course completion certificates.

This is for you because...

  • You’re an Excel-based data analyst.

  • You work with tables of data in Excel to produce insights.

  • You want to move beyond the limitations of Excel to have more impact.

Prerequisites

  • Knowledge of Excel tables, PivotTables, formulas, and VLOOKUP.

  • Required: You must have access to Python in Excel features

  • Required: Install Excel on Windows. If you’re using a Mac, follow these steps to get access to Python in Excel.

Recommended preparation

INSTRUCTOR

Dave Langer

Dave is the Founder of Dave on Data, where he delivers training designed for ANY professional to develop data analysis skills.

Dave Langer