Effective Work Competency Enhancement, Python Business Data Analysis Expert Course

Coding Excel data with Python?! It's not that hard~ Becoming a cutting-edge professional is only a matter of time!

(5.0) 4 reviews

19 learners

Level Basic

Course period Unlimited

Python
Python
Excel
Excel
Excel Power Pivot
Excel Power Pivot
Python
Python
Excel
Excel
Excel Power Pivot
Excel Power Pivot

What you will gain after the course

  • How to set up a work environment using Python, from installation to virtual environments

  • Basic concepts of the Python data analysis process

  • Practical Python: From Understanding Data Structures to Real-World Analysis Projects

  • Business automation skills to easily process Excel data with Python



💡 Practical Python Coding for Non-Majors!


It's not too late to start coding!
From Python basics to practical application all at once!


💻 The shortcut to improving productivity, Python coding

Everyone is already well aware of how important coding is in today's professional life. Both current professionals and job seekers alike feel that data analysis capability has become a necessity. However, regardless of its importance, the barrier to entry for coding remains high.

That's why Maso Campus has prepared this. This lecture is a course that perfectly fits many modern professionals in charge of data-centric tasks. You can learn how to maximize work efficiency and easily perform data analysis through Python.

In the lecture, along with a theoretical understanding of data analysis, you will learn step-by-step from the basics of handling Python data to practical application techniques. We cover various topics such as data structure and creation, preprocessing methods, and data frame manipulation.

Even if you have never encountered coding before, we will guide you through each step so that you can follow along just by watching the screen. As you follow the provided code yourself, you will soon find that you are no longer afraid of Python!

📖 Course Features

In this course, we help anyone easily get started with practical coding through Python and efficiently analyze data by improving upon the shortcomings of Excel-based work.

Practical Business-Oriented Curriculum

It covers the entire process from basic data analysis theory to advanced practical exercises. In particular, it focuses on data analysis techniques that can be applied to real-world tasks.

Comprehensive Learning of Data Analysis Tools

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

Various Hands-on Exercises and Project Opportunities

Through various hands-on exercises in data processing, you will build your data analysis capabilities. Based on analysis cases of sales/revenue and financial data, we provide insights to apply theory to practical business scenarios.

Realizing Work Automation

By utilizing Python and Excel, you can perform data analysis more efficiently. This allows you to save time and improve work productivity.

🙌 We recommend this to the following people

  • Those who are interested in data analysis and Python coding

  • Those who want to apply automation to their current work

  • Those who want to experience high work efficiency by learning how to use Python

  • Office workers who want to improve their data analysis capabilities

  • Job seekers who want to emphasize 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 getting hired.


🏆 After taking the course

After completing this course, you will be able to acquire the following competencies.

  • How to set up a work environment using virtual environments, starting from the installation of Python

  • Basic concepts of the Python data analysis process

  • Practical Python skills from understanding data structures to real-world analysis projects

  • Work automation skills to easily process Excel data with Python


Say goodbye to tedious and slow Excel tasks!
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. Mastering data analysis techniques!

4. Even performing projects that apply to real-world practice!

💬 Frequently Asked Questions Q&A 

Q. Do I need prior knowledge of Excel or data analysis?
A. Not at all. This course provides kind and detailed explanations so that even non-majors and absolute Excel beginners can easily follow along. So don't worry and just give it a try. After completing the course, you'll be able to "properly" analyze data using Excel!

Q. What level of content does the course cover?
A. This is a foundational course focused on understanding the methods and purposes of data-driven thinking, planning, execution, and decision-making to achieve Business Transformation. The emphasis is on developing data interpretation skills to utilize data according to specific goals, providing a stepping stone for in-depth data analysis using advanced Excel functions in subsequent courses.

Q. Are there any requirements or prerequisites for taking the course?
A. Since this is a practice-oriented course, it is recommended to have a dual monitor or an extra device to separate the lecture screen from the practice screen. Additionally, as the exercises are conducted based on Windows OS, we recommend taking the course in a Windows environment.

Q. I'm a complete beginner in data analysis and have never coded before. Is it possible?
A. Of course it is. This course does not use complex coding; instead, it primarily uses the commonly used Excel to help you develop your data literacy skills.

Instructor Introduction

Please check before taking the course!

  • Since this is a practice-oriented course, it is recommended to prepare a dual monitor or an extra device so that you can separate the lecture screen from the practice screen. để có thể tách biệt màn hình bài giảng và màn hình thực hành.


  • Since the practice sessions are based on Windows OS, we recommend taking the course in a Windows environment.

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

  • Due to the recording environment, the audio quality of the lesson videos is not clear. Please refer to the preview video before taking the course.

Recommended for
these people

Who is this course right for?

  • Those who are interested in data analysis and Python coding

  • Those who want to apply automation to their current work

  • Those who want to experience high work efficiency by learning how to use Python

  • Office workers who want to develop their data analysis skills

  • Job seekers who want to emphasize their unique differentiation in the job market

  • Anyone who wants to build a career in the IT industry, including starting a business, changing jobs, or entering the workforce.

Need to know before starting?

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

  • Since this is a practice-oriented course, we recommend preparing a dual monitor or an extra device so you can separate the lecture screen from your practice screen.

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1. Actionable Content that you can surely use once you learn it

2. Time-Saving Curriculum that respects the time and effort of participants

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We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.

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36 lectures ∙ (4hr 51min)

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