Python coding Excel data?! It's not difficult - it's only a matter of time before you become a leading employee!

Practical Python coding that even non-majors can use right away!

It's not too late to get started with coding!

From introduction to Python to practical application, all at once!

I learn something like this!

From installing Python to how to build a work environment using a virtual environment
Basic concepts of the Python data analysis process
Python practices from understanding data structures to actual analysis projects
Task automation capability to easily process Excel data with Python

Python coding, a shortcut to improving productivity

How important coding is in today's workplace

Everyone is probably familiar with it already.

The ability to analyze data has also become essential

Everyone, from business workers to college students, will feel it.

However, they seem to say that importance and accessibility are strictly separate

Everyone also knows the high barriers to getting started with coding.

So for you at Maso Campus

We have prepared a course on 'Python & Excel Work Automation to Strengthen Work Capabilities Based on Data Analysis'.

This course fits perfectly with the data-driven work reality faced by modern office workers.

Maximize work efficiency through Python,

You can learn how to easily analyze data.

In this course, along with a theoretical understanding of data analysis,

You can learn step by step, from the basics of handling Python data to practical application techniques.

You will learn practical skills that can be applied to actual work.

Data analysis using Python and Excel is not just a technology,

It's an essential tool for increasing work productivity and making more strategic decisions.

While dealing with various topics such as data structure and generation, preprocessing methods, and data frame manipulation,

We provide code that you can follow with your own hands.

So that even people who have never tried coding can just watch the screen and follow along

It is carried out by pointing them out one by one.

Now, you are also becoming a Python coding practitioner

You will be equipped with important competencies that an office worker in this era should have.

With classes at Maso Campus, data analysis is no longer difficult.

Course features

In this course, anyone can easily get into practical coding through Python,

It helps analyze data efficiently by improving the shortcomings of Excel-based work.

Practice-oriented curriculum

This course covers everything from basic theory to advanced practice in data analysis.

In particular, it focuses on data analysis techniques that can be applied to actual work.

Learn comprehensive data analysis tools

You will comprehensively learn how to use data analysis tools centered on Python and Excel.

This allows you to maximize work efficiency.

Various hands-on and project opportunities

Develop actual data analysis skills through exercises on various topics such as data structure, generation, preprocessing, and data frame manipulation,

It provides an opportunity to apply theory and practice to real situations through examples of sales and revenue analysis and financial data analysis.

Realization of work automation

Excel data analysis can be performed more efficiently through work automation techniques using Python.

This can save time and improve work productivity.

I recommend it to people like this

Those interested in data analysis and Python coding
Those who want to apply automation to their current work
Those who want to learn how to use Python and experience high work efficiency
Office workers who want to develop data analysis skills
Students who want to emphasize their own differentiation in the job market
Everyone who wants to build a career in the IT industry, such as starting a business/transfer/joining a company

After taking a Python & Excel work automation course to strengthen work competency based on data analysis

After completing this course, you will gain the following competencies.

From installing Python to how to build a work environment using a virtual environment
Basic concepts of the Python data analysis process
Python practices from understanding data structures to actual analysis projects
Task automation capability to easily process Excel data with Python

Say goodbye to tiring and slow Excel work!

Master data analysis in style with Python!

Learning content

1. Learn the basic concepts of Python data analysis!

2. Getting started with Python data handling!

3. Learn data analysis techniques!

4. Even carrying out projects applied to practice!

Expected Questions Q&A

I'm a literature student with no coding experience. Is it OK to take the course?
A. Sure! This course is for beginners who are new to coding! It's organized step by step so that even beginners can easily learn, so don't worry!
Do I need to take this course even if I'm not a programming developer?
A. You don't need to be a developer to take this course. Understanding coding makes it possible to communicate smoothly with developers in business situations, and since the importance of programming is being emphasized more, it is necessary to learn it even if it is not a development-related job.
Are there any requirements or requirements to take the course?
A. Since this is a practice-oriented course, it is a good idea to prepare a dual monitor or an extra device that can separate the lecture screen from the practice screen.

About knowledge sharers

Please check before taking the course!

- - Because it's a practice-oriented courseThe lecture screen and practice screen can be separated Dual monitors or extra devicesIt would be great if you could prepare it together.
  - Also, since the exercises are conducted based on Windows OS, Take courses in a Windows environmentI recommend it.
  - Course textbooks and practice files <00. Textbook Download Center> sectionIt exists at

Effective work capacity building, Python business data analysis expert course

Effective work capacity building, Python business data analysis expert course