Automate Excel using Python Xlwings - Series 1

Automate Excel using Python – Xlwings | Series 1, available at $39.99, has an average rating of 2.6, with 28 lectures, based on 20 reviews, and has 142 subscribers.

You will learn about Writing macros (in python) for their Excel sheets Automate Excel without any VBA code (installed by default) Build your own Formulas by coding User-defined Functions (UDFs) in Python Practical hands-on experience with Industry level datasets Automate, streamline and completely revolutionize your Excel workflow with Python macros Master unique concepts, tools and case studies, which you wont find ANY other course, guaranteed Get LIFETIME access to course materials and a 1-on-1 expert support Continuous course updation when python packages updated with new features This course is ideal for individuals who are Beginner developers who want to make their career on Data Science or People working as an Analyst, using Excel mostly It is particularly useful for Beginner developers who want to make their career on Data Science or People working as an Analyst, using Excel mostly.

Enroll now: Automate Excel using Python – Xlwings | Series 1

Summary

Title: Automate Excel using Python – Xlwings | Series 1

Price: $39.99

Average Rating: 2.6

Number of Lectures: 28

Number of Published Lectures: 28

Number of Curriculum Items: 28

Number of Published Curriculum Objects: 28

Original Price: $24.99

Quality Status: approved

Status: Live

What You Will Learn

Writing macros (in python) for their Excel sheets

Automate Excel without any VBA code (installed by default)

Build your own Formulas by coding User-defined Functions (UDFs) in Python

Practical hands-on experience with Industry level datasets

Automate, streamline and completely revolutionize your Excel workflow with Python macros

Master unique concepts, tools and case studies, which you wont find ANY other course, guaranteed

Get LIFETIME access to course materials and a 1-on-1 expert support

Continuous course updation when python packages updated with new features

Who Should Attend

Beginner developers who want to make their career on Data Science

People working as an Analyst, using Excel mostly

Target Audiences

Beginner developers who want to make their career on Data Science

People working as an Analyst, using Excel mostly

This course teaches how to automate Industry-level datasets maintained in Excel sheets using Python programming language.

MS Excel is a very helpful tool for record-keeping. But the language that comes by default for macro is VBA, which is dated. And in the field of Data Analysis, Python has a lot of interesting packages which makes a job easy. Package like xlwings links any Excel with Python macros. Packages like Pandas, takes data into tabular format and also has customized filtering of rows or columns for complex data analysis. Packages like Matplotlib, Plotly enables to create different plots – line plot, Scatter plot, Heat map for finding the correlation b/w different parameters.

In the Series, 2 Case studies has been picked from Industry process line. And correspondingly, Python macros are created to:

1. reduce time in analysis

2. enable customization using python packages

3. reduce macros code lines in VBA codebase.

4. create customized User-defined modules by python functions.

The Series-2 is also available now in the Instructor’s profile.

Course Curriculum

Chapter 1: Introduction

Lecture 1: About Instructor

Lecture 2: Academys Courses (All)

Lecture 3: Course Outline

Lecture 4: Announcement: Series-2 Course launched!!!

Lecture 5: Communication: Doubts, Request feature

Chapter 2: Chapter 0: Basics

Lecture 1: Tools

Lecture 2: Tools part 2

Lecture 3: Python

Lecture 4: Pandas

Lecture 5: Xlwings

Chapter 3: Chapter-1 – Case study I

Lecture 1: Infographic

Lecture 2: View Data

Lecture 3: Prepare Code

Lecture 4: Define Sheets

Lecture 5: View Code History

Lecture 6: Sheet_1 to DataFrame to Sheet_2

Lecture 7: Figure, Axes

Lecture 8: Show Plot

Lecture 9: Add Legends

Chapter 4: Chapter-2 – Case Study II

Lecture 1: Infographic

Lecture 2: View Data

Lecture 3: Prepare Code

Lecture 4: Define Sheets

Lecture 5: Sheet_1 to DataFrame to Sheet_2

Lecture 6: Ch-A Plot

Lecture 7: Ch-B Plot

Lecture 8: Ch-B Plot Pt2

Chapter 5: Conclusion

Lecture 1: Summary

Instructors

Block.Hub Academy
Data Science, Bots, Blockchain, C++, Python

Rating Distribution

1 stars: 6 votes

2 stars: 3 votes

3 stars: 5 votes

4 stars: 3 votes

5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!