A course to upgrade you from a Python beginner to a top-tier professional!
Learn about data analysis and data visualization using Python, and enhance your practical skills for workplace tasks through real-world projects.
Detailed explanation and practice!! Systematic class. Thank you so much.
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moonis79
100% enrolled
Very good
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hjiyoung9764
5% enrolled
If you take the course with a systematic curriculum, you will be able to apply Python in practice.
What you will gain after the course
Efficient Utilization of Practical Data Using Python
Creating a master dataset for analysis through Python data aggregation and preprocessing
Python Data Visualization and Insight Generation
Introduction to Machine Learning Concepts
From data processing + analysis + visualization + to machine learning! Versatile Python, start applying it to your practical work now.
Python and Data Analysis, Why are they important?
The most beloved programming language among developers, Python! Python is not just used for program development, but is also being usefully applied to data analysis.
Data analysis is a skill needed by everyone, regardless of their profession. So, why should we learn data analysis through Python?
1.By using Python, you can process large amounts of data quickly.
2.Repetitive tasks can be processed through programming.
3.Various analysis and predictions are possible in connection with machine learning, deep learning, etc.
By using Python, you can perform data analysis and prediction even in areas that are difficult to handle with Excel. Therefore, this course focuses on data analysis using Python. Experience practical data analysis using NumPy and Pandas firsthand and become an expert in programming and data analysis!
🔑 Recommended for the following people
- Those who have beginner-level or higher Python coding skills, and dream of becoming a Python master
- Those who have basic knowledge of Python but do not know how to apply it to practical work
- Those who dream of becoming data analysis and coding experts
- Those who want to handle complex data that is difficult to analyze with Excel
- Those who dream of career development, or changing jobs through Python mastery
- Those who want to take a /practical, hands-on Python course for the workplace
- Those who want practical, hands-on Python learning that can be applied immediately
✨ Course Features
Already mastered the basics of Python but want to become even more proficient? Know the fundamentals of Python but aren't sure how to apply them in the workplace? Then pay close attention to this course!
For those who have become somewhat familiar with Python through basic grammar and various cases, you can proceed with full-scale data analysis practice through the <Python in Practice> course!
1.NumPy and Pandas Upgrade your practical application skills through the use of
Utilizing advanced data analysis packages NumPy and Pandas, you can repeatedly study various examples and immediately apply the code you've written to real-world tasks
2.Data Analysis using Python A to Z! Mastering Data Skills
You will learn about data analysis and data visualization packages, and by introducing machine learning in the latter half of the course, you will be able to acquire data preprocessing skills, data processing skills, data visualization skills, and data-driven decision-making skills.
3.Condensing only the most useful content for the field! Maximizing learning efficiency
We have removed unnecessary content and included only what is truly essential through examples and practices that you might encounter in the field. It is a Time Saving Curriculum designed for your precious time, and Actionable Content that you can put to use immediately after learning.
This is by no means a difficult and useless lecture! Try this course, which focuses on the students' level of understanding and practical application. Python and data analysis, which used to feel difficult, will start to feel interesting.
Develop your Python career and increase your work efficiency through this course!
📜 After completing Practical Python
By taking Maso Campus's <Python in Practice> course, you can master data analysis skills using Python.
-Python data collection, preprocessing, and analysis methods used in practice
-Python coding using Jupyter Notebook
-How to master data visualization methods and discover insights
-Achieving more effective data analysis with an introduction to machine learning
<Practical Python> Through this course, achieve career development through Python and become a practical master!
📚 Learning Content
💬 Anticipated Q&A
Before taking the course, please write 3 or morequestions and answers that students might be curious about. We recommend answers that reflect the instructor's unique personality rather than generic or formal responses.
Q. I am a complete beginner who doesn't know the first thing about 'P' in Python. Is it okay for me to take this course? A. The Python Practical Application course is designed for those with at least a beginner level of Python coding skills. If, you do not have basic knowledge of Python, it will be much more helpful for your learning if you take IT-Maso Campus's <Introduction to Python> course first!
Q. Is it necessary to take this course even if I am not a software developer? A. It is beneficial to take the course even if you are not a developer. An understanding of coding enables smooth communication with developers in business situations, and since the importance of programming is being emphasized more than ever, it is necessary to learn even if you are not in a development-related role. Furthermore, Python is not only used for programming but is also useful for data analysis, making it valuable for everyone currently in the workforce.
Q. Why should I take Miso Campus's <Python for Business> instead of others? A. Miso Campus's <Python for Business> course is a program designed to significantly upgrade your data analysis skills for the workplace, and it enhances your practical business sense through real-world Python projects. Furthermore, by taking the machine learning lecture at the end, you can give wings to your data analysis capabilities; it is a course designed to help you spend your precious time in the most efficient and productive way!
✒ About the Instructor
✔ 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 to separate the lecture screen and the practice screen. Additionally, since the practice is conducted based on Windows OS, we recommend taking the course in a Windows environment.
-The lecture notes and practice files are located in section 00.
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Recommended for these people
Who is this course right for?
Those who want to apply Python to their practical work immediately
Those who want to code easily using Python data analysis packages
Those who want to build a career with Python
Those who want to use Python to analyze data more flexibly than Excel or R and get started with machine learning.
Need to know before starting?
It will be easier to understand the lecture if you have basic knowledge of Python or have completed IT&BASIC's Python introductory course.
Recommended for those with Python coding skills at an intermediate level or higher.
As this is a practice-oriented course, we recommend using dual monitors or an extra device to separate the lecture screen from your practice screen.
Please note that this course is conducted using a Windows OS-based practice environment.
"I will grow more than yesterday. And, I will help those who strive to grow more than yesterday."
With Actionable Content that embodies the sincerity and aspirations of Maso Campus,
100 million cumulative hours of lectures shared online and offline since 2013!
This precious experience and time are always the source of growth for both Maso Campus and our students.
The Miso Campus team strictly adheres to two principles for the growth of us all. 1. Actionable Content that can be put into practice immediately after learning. 2. Respecting the time and effort of participants.
The Miso Campus team strictly adheres to two principles for the growth of us all.
1. Actionable Content that you can actually use after learning
2. Time-Saving Curriculum that respects the participant's time and effort
Grow with Miso Campus's Actionable and Time-Saving Curriculum
1. Actionable Content that you can surely use once you learn it
2. Time-Saving Curriculum that respects the time and effort of participants
We hope you will walk the path of growth together with Masocampus's Actionable and Time-Saving Curriculum.
We hope you will walk the path of growth together with Maso Campus's Actionable and Time-Saving Curriculum.