Python in Practice

Data processing + analysis + visualization + machine learning!
The versatile Python, now put it to practical use.

Python and Data Analysis : Why Are They Important ?

The most loved programming language among developers , Python !
Python is not only used for program development, but is also useful for data analysis .

Data analysis is a skill everyone needs, regardless of their career . So why should we learn data analysis with Python ?

1.    Python allows you to process large amounts of data quickly .

2.    Programming of repetitive parts is possible .

3.    Various analyses and predictions are possible in conjunction with machine learning , deep learning, etc.

Python enables data analysis and prediction at scales that are difficult to handle with Excel . Therefore, this course focuses on data analysis using Python . Gain hands-on experience with practical data analysis using NumPy and Pandas and become a proficient programmer and data analyst !

🔑 Recommended for these people

- Those who have coding skills beyond beginner level in Python and dream of becoming a Python master

- Those who have basic knowledge of Python but do not know how to apply it in practice.

- Those who dream of becoming data analysis and coding talents

- Those who want to handle complex data that is difficult to analyze with Excel

- Those who dream of career development and job change through Python Master

- Those who want to take a Python course focused on practical work

- For those who want to learn Python in a hands-on, practical way that they can use right away.

✨ Course Features

Have you already mastered the basics of Python but want to become even more skilled ?
What if you know the basics of Python but don't know how to use it in the workplace ?
Pay attention to this lecture !

Those who have mastered Python to some extent through its basic grammar and various examples can proceed with full-scale data analysis practice through the < Python Practice > course ! 

1.    Upgrading practical application skills through the use of NumPy and Pandas

You can learn repeatedly through various examples using the advanced data analysis packages NumPy and Pandas and apply the code you created directly to practical work.

2.    Data Analysis A to Z with Python! Master Your Data Skills

You will learn data analysis packages and data visualization packages , and in the latter half of the course, you will learn machine learning, and acquire data preprocessing , data processing , data visualization , and data-based decision-making skills .

3.    Condensed to only the most useful content for your work ! Maximize learning efficiency.

We've eliminated unnecessary content and included only the essentials, with examples and practical exercises you'll encounter in the field . This is a time-saving curriculum for your precious time, and actionable content you can use again and again .

This course is by no means difficult or useless !
Take this course, which focuses on the students' level of understanding and practical application . You'll discover that Python and data analysis, once considered difficult, are now engaging .

Develop your Python career and improve your work efficiency through this course !

📜 After listening to Python practice

By taking Maso Campus' < Python Practice > course , you can master data analysis skills using Python .

-         Python data collection, preprocessing, and analysis methods used in practice

-         Python Coding Using Jupyter Notebooks

-         How to master data visualization and discover insights

-         Achieving more effective data analysis with an introduction to machine learning.

Through the < Python Practice > lecture , develop your career through Python and become a practical master !
 

📚 What you'll learn

💬 Expected Questions Q&A

Before attending the lecture , prepare at least three questions and answers that students may have. Please write .
We recommend answers that reflect the personality of the knowledge sharer rather than obvious and formal answers .

Q. I'm a beginner who doesn't even know the first letter of Python . Is it okay for me to take the course ?
A. This Python Practical Course is designed for those with beginner-level Python coding skills or higher . If you lack any basic Python knowledge , taking Maso Campus ' " Introduction to Python " course will greatly enhance your learning experience !

Q. Do I need to take this course even if I am not a programming developer ?
A. Even if you're not a developer, this course is recommended . An understanding of coding will enable smooth communication with developers in business situations , and with the growing importance of programming, it's essential to learn even if your job isn't related to development . Furthermore , Python is useful not only for programming but also for data analysis, making it a valuable tool for anyone in the field .

Q. Why should I take < Python Practice > at Maso Campus instead of elsewhere ?
A. Masocampus' " Python in Practice " course will significantly upgrade your data analysis skills for the workplace . It further enhances your practical understanding through practical Python projects . Furthermore, by taking the machine learning course at the end, you'll gain wings in data analysis , and this course is designed to help you make the most of your valuable time !

✒ Introduction of knowledge sharers

✔ Please check before taking the class ! ️

-          Since this is a hands-on course, we recommend bringing a dual monitor or a spare device 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 .

-          Lecture notes and practice files are located in section 00 .

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