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Data Science

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Data Analysis

Effective business capacity enhancement, Python business data analysis expert course

Coding Excel Data in Python?! It's Not Hard~ Becoming a Leading Worker is Just a Matter of Time!

9 learners are taking this course

  • Masocampus
이론 실습 모두
비전공자
Python
Excel
Excel Power Pivot

What you will learn!

  • How to build a work environment using a virtual environment, starting with installing Python

  • Basic concepts of Python data analysis process

  • Python Practice from Understanding Data Structures to Real-World Analysis Projects

  • Automation capabilities to easily process Excel data with Python



💡 Practical Python Coding for Non-Majors!


It's not too late to start coding!
From Python introduction to practical application, all in one place!


💻 Python Coding: A Shortcut to Productivity

We all know how crucial coding is in today's workplace. Everyone, from professionals to job seekers, recognizes the essential nature of data analysis skills. However, despite its importance, the barrier to entry to coding remains high.

That's why Maso Campus has prepared this course. This course is perfectly suited to the many modern workers in data-centric jobs. You'll learn how to maximize work efficiency and easily perform data analysis using Python .

This course covers a theoretical understanding of data analysis, along with step-by-step instruction on Python data handling, from basics to practical application techniques. It covers a wide range of topics, including data structure and generation, preprocessing methods, and data frame manipulation.

Even those with no prior coding experience will be able to follow along by simply looking at the screen, step by step. As you follow along with the provided code, you'll soon find yourself no longer afraid of Python!

📖 Course Features

In this lecture, anyone can easily get started with practical coding through Python.
It helps you analyze data efficiently by improving the shortcomings of Excel-based work.

Practical curriculum

This course covers everything from basic data analysis theory to advanced practice. It focuses on data analysis techniques applicable to real-world work.

Learn comprehensive data analysis tools

By comprehensively learning how to use data analysis tools, focusing on Python and Excel, you can maximize your work efficiency.

Various hands-on and project opportunities

Develop your data analysis skills through a variety of hands-on data processing exercises. Based on sales/sales data and financial data analysis cases, you'll gain insights for applying theory to practice.

Realization of work automation

Leveraging Python and Excel allows you to perform data analysis more efficiently. This saves time and improves work productivity.

🙌 I recommend this to these people

  • Anyone interested in data analysis and Python coding

  • Anyone who wants to apply automation to their current work

  • Anyone who wants to learn how to use Python and experience high work efficiency

  • Office workers who want to develop data analysis skills

  • Job seekers who want to differentiate themselves in the job market

  • Anyone who wants to build a career in the IT industry, such as starting a business, changing jobs, or joining a company.


🏆 After listening to the lecture

After completing this course, you will gain the following capabilities:

  • How to set up a work environment using a virtual environment, starting with installing Python.

  • Fundamentals of the Python Data Analysis Process

  • Python Practicals, from Understanding Data Structures to Practical Analysis Projects

  • Automation capabilities to easily process Excel data with Python


Say goodbye to boring and slow Excel work!
Master data analysis with Python!


What you will learn

1. Learn the basic concepts of Python data analysis!

2. Getting started with Python data handling!

3. Learn data analysis techniques!

4. Carry out projects that can be applied to practical work!

💬 Expected Questions Q&A

Q. Is prior knowledge of Excel or data analysis required?
A. You don't need any. This course is explained in a friendly and detailed manner, so even non-majors and absolute Excel beginners can easily follow along. So, don't worry, just take the course. After completing the course, you'll be able to properly analyze data in Excel!

Q. What level of content is covered in the class?
A. This course is a foundational course that focuses on understanding the methods and goals of data-driven thinking, planning, execution, and decision-making to achieve business transformation. It focuses on developing data interpretation skills to utilize data for specific purposes, laying the foundation for in-depth data analysis utilizing advanced Excel features in subsequent courses.

Q. Are there any requirements or prerequisites for taking the course?
A. Since this is a hands-on course, we recommend bringing a dual monitor or a spare device that allows you to separate the lecture and practice screens. Furthermore, since the practical training will be conducted on a Windows OS, we recommend taking the course in a Windows environment.

Q. I'm a complete beginner in data analysis and have never even coded before. Is this possible?
A. Of course, you can. This course focuses on developing data literacy skills by primarily utilizing commonly used Excel tools, rather than complex coding.

Introduction of knowledge sharers

Please check before taking the class!

  • Since this is a practice-oriented lecture, it would be a good idea to prepare a dual monitor or extra device that can separate the lecture screen and the practice screen.


  • Since the training is conducted based on Windows OS, we recommend taking the course in a Windows environment .

  • Lecture notes and practice files are available in the <00. Textbook Download Center> section .

  • Due to the recording environment, the audio quality of the class video is not clear. Please refer to the preview video before attending the class.

Recommended for
these people

Who is this course right for?

  • Anyone interested in data analysis and Python coding

  • Anyone who wants to apply automation to their current work

  • Anyone who wants to learn how to use Python and experience high work efficiency

  • Working professionals who want to develop data analysis skills

  • Job seekers who want to highlight their own uniqueness in the job market

  • Anyone who wants to build a career in the IT industry, such as starting a business, changing jobs, or joining a company

Need to know before starting?

  • It is organized step by step so that even beginners can learn easily, so no prior knowledge is required.

  • Since this is a hands-on lecture, it would be a good idea to prepare a dual monitor or an extra device that can separate the lecture and practice screens.

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Curriculum

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36 lectures ∙ (4hr 51min)

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