Take the Leap From Excel to Python: A Hands-On Guide
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 4.06 GB | Duration: 8h 15m
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!
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