Free Python for Excel Course: Master Data Automation in 2024

4.7

3 Reviews

61 Enrolled

3 hours 36 minutes

By admin in Data Analyst Data Science

About Course

Welcome! This course is here to help you automate Excel tasks to gain significant time.

Programming is certainly a word you may have heard when working in Excel. It is often associated with VBA. Python is however an open-source programming language that offers way more flexibility and is simpler to get started with. Rest assured, I’ve been working with Python for a few years now and I wanted to offer you the quickest past to automate tasks in your Excel files. No need to know anything about programming, I’ll show you how to get started from scratch.

This course does not aim to teach you everything about Python but rather to guide you on your quickest path to success. This course is full of opportunities to apply your knowledge:

There are many hands-on lectures in every section
There are quizzes scattered in most sections
Some practical examples that you can reuse for your own projects
And a proper environment to program and go beyond just Python for Excel

you can also find more data science courses.

How to install Python
The basics of programming
What libraries to use
How to read and write in Excel
How to perform Excel functions in Pythons: VLOOKUP, SUMIF, filters, remove duplicates, etc.
How to use Pandas, OpenPyXl
Some programmer tips and tricks to go beyond and automate further
Automate Excel repetitive tasks with Python
Work with large Excel documents
Save time by automating Excel tasks
Learn some practical programming knowledge

Business Analysts in Finance
Data Analysts in Geology
Analysts with a strong need to automate Excel repetitive tasks
Analysts dealing with Excel files too large to handle
Business Analysts in Finance
Data Analysts in Geology
Analysts with a strong need to automate Excel repetitive tasks
Analysts dealing with Excel file too large to handle

Course Content

1. Introduction
Python is a versatile programming language that can be used for a wide range of tasks, including data analysis and manipulation. When it comes to working with Excel, Python can be used to automate tasks, perform calculations, and generate reports. There are several libraries in Python that allow you to work with Excel files, the most popular ones being: pandas: pandas is a powerful library for data manipulation and analysis. It provides functions for reading and writing Excel files, and allows you to manipulate Excel data with ease. openpyxl: openpyxl is a library for working with Excel files that allows you to read, write, and modify Excel files. It supports all Excel file formats, including .xlsx, .xlsm, and .xltx. xlrd and xlwt: These are libraries for reading and writing Excel files in the older .xls format. Here is a simple example of how to read an Excel file using pandas: python import pandas as pd # read Excel file df = pd.read_excel('file.xlsx') # print first 5 rows of data print(df.head()) And here is an example of how to write data to an Excel file using pandas: python Copy code import pandas as pd # create dataframe df = pd.DataFrame({'Name': ['John', 'Sarah', 'Bob'], 'Age': [25, 30, 35]}) # write dataframe to Excel file df.to_excel('output.xlsx', index=False) These are just a few examples of how Python can be used for Excel. With its powerful libraries and flexibility, Python is a great choice for working with Excel data.

Quick intro of myself

00:56
Why programming and why Python

04:27
What for and who would benefit from it

02:43
Content overview

01:41
Feedback

01:22

2. Set up your laptop/Desktop

3. Programming Main Concepts

4. Python Main Concepts

5. Libraries

6. Read and Write from and to Excel

7. From Excel to Python

Introduction

00:48
Explore the data (hands on)

09:31
Manipulate the data – VLOOKUP, Filter, Remove duplicates, Add column, etc

00:53
Manipulate the data (hands on) – Merge tables

03:51
Manipulate the data (hands on) – VLOOKUP

09:25
Manipulate the data (hands on) – Add a column

14:08
Manipulate the data (hands on) – Sort and Filter

08:41
Clean the data (hands on)

24:24
Analyze the data (hands on)

05:25
Tips and tricks (hands on)

15:35

Instructors

admin

4.7

3 Reviews

6151 Students

19 Courses

Feedback

4.7

Total 3 Ratings

66.666666666667%

33.333333333333%

Reviews (3)

Akhil Sharma

3 months ago

na
RM

Rohan Meravi

1 year ago

It's helpful for me by enhancing my knowledge
SS

Shubham Shrivastava

1 year ago

Very good and concise explanation.

Level Intermediate
Total Enrolled 61
Duration 3 hours 36 minutes
Last Updated August 21, 2024
Certificate Certificate of completion

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Free Python for Excel Course: Master Data Automation in 2024

About Course

What Will You Learn?

Requirements

Audience

Course Content

Quick intro of myself

Why programming and why Python

What for and who would benefit from it

Content overview

Feedback

2. Set up your laptop/Desktop

Introduction

Install Python

Install Visual Studio Code

Install Python and Visual Studio Code (hands on)

Configure Visual Studio Code

Configure Visual Studio Code (hands on)

Install libraries

Download course content

3. Programming Main Concepts

Introduction

Variables

Data types

First functions

First program (hands on)

4. Python Main Concepts

Introduction

If statement

If statement (hands on)

Scope

Loops

Loops – for (hands on)

Loops – while (hands on)

5. Libraries

Introduction

What libraries are and why they are important

A few libraries and how to use them

6. Read and Write from and to Excel

Introduction

Absolute and relative paths

File path the easy way

Read and Write from and to Excel

Read from Excel (hands on)

Write to Excel (hands on)

Read and Write from and to Excel (hands on)

7. From Excel to Python

Introduction

Explore the data (hands on)

Manipulate the data – VLOOKUP, Filter, Remove duplicates, Add column, etc

Manipulate the data (hands on) – Merge tables

Manipulate the data (hands on) – VLOOKUP

Manipulate the data (hands on) – Add a column

Manipulate the data (hands on) – Sort and Filter

Clean the data (hands on)

Analyze the data (hands on)

Tips and tricks (hands on)

Instructors

Feedback

Reviews (3)

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