What you'll learn
You will know how to use "notebooks" to create well-documented and re-usable data analysis.
You will know how to re-create major Excel features like cell formulas and pivot tables in Python.
You will know how to use Python and pandas to perform VLOOKUP style operations
You will know how to use matplotlib to re-create Excel charts.
You will know how Python packages and functions are used
You will know how to build Excel pivot tables in Python

Requirements
Familiarity with basic data analysis in Microsoft Excel.
No prior experience with programming is required � this course is geared for beginners.
Description
****INCLUDES DOZENS OF HANDS-ON CODING NOTEBOOKS****

This course will use hands-on exercises to teach you how to apply your Excel knowledge in Python.

Several years ago, I was in your shoes. I tried learning Python but would go back to do things in Excel because I was more comfortable with it. My goal in this course is to help you become as comfortable in Python as you are in Excel. To become comfortable, you need to have opportunities to participate in hands-on exercises and projects. You will have the chance to do both in this course.

This course is designed for students who want to grow their careers or improve their analysis by using Python.

What will you learn:

How to use Google Colab to begin using Python without installing software

How to use Python packages and functions

How to import and export data from Python

How to perform basic tasks like data cleaning

How Python can save time by creating scripts which can be re-run easily

How notebooks can be used to create well-documented analysis

How to replicate many Excel features

Excel features we will replicate in Python:

Pivot tables

VLOOKUP

Charts

Cell formulas like SUM( ), IF( ) and CONCATENATE( )

Filtering rows

Performing text to columns splits

and more!

Content

This course is divided into three parts.

The first part is the introduction to the course and an overview of the essential concepts you need to know to use Python and pandas.

In part 2, you will have the flexibility to take the lessons in whatever order best suits your needs. If you need to learn how to build a pivot table in Python, you can skip straight to that lesson. Want to build charts in python� you can start there instead.

In part 3 we will work on an analytics project using real-world data together. You will then apply everything you have learned to build your own project.

The course also has a 30-day 100% money-back guarantee. If you aren't happy with your purchase, you can refund the course with no questions asked.

Enroll now to make the leap from Excel to Python!

- Cory

Who this course is for:
Spreadsheet users who want to grow their careers or improve their analysis by using Python.