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Basic Python with ChatGPT for Data Analysis Beginners

The [Customized Basic Python for Data Analysis] course that even non-majors have easily completed! Learn the basics of using ChatGPT alongside it to create a "starting point" for data analysis and AI utilization. From essential prerequisites for data analysis to customized learning from a "Data Analysis Instructor," you can build deep foundational skills while learning quickly. This course instills the courage and confidence needed for coding and provides a roadmap for your future data analysis studies.

(4.9) 103 reviews

663 learners

Level Beginner

Course period Unlimited

  • kimpandas
Python
Python
Excel
Excel
ChatGPT
ChatGPT
Python
Python
Excel
Excel
ChatGPT
ChatGPT

Reviews from Early Learners

Reviews from Early Learners

4.9

5.0

hanabikwon

100% enrolled

A literature major with absolutely no coding knowledge was able to complete this course with ease. I had tried other Python courses before and quickly gave up, but this course was so fun that I actually finished it. I really liked how well the course provided direction and focused on the core essentials needed in the current situation. Such a valuable course. I'm looking forward to taking the Pandas course soon. I'm excited. Thank you for the great course!

5.0

채동우

100% enrolled

This lecture clearly sets the direction for what to study for proper data analysis. Unlike many textbooks on the market that focus on data types and control statement learning, this lecture is tailored for the purpose of data analysis. It tells you what is needed to learn the Pandas library and how it can be used in the future, which is great because it prevents you from getting exhausted by unnecessary studying and giving up. I am already enjoying the Pandas textbook so much, so I liked this lecture even more. The lecture content is excellent, and I like the way the content is presented. The code, explanations, and materials are displayed in a large format, making it easy to view, and the practice code and textbook provided make it easy to review. I can't help but wonder how great it would be if a full-fledged Pandas lecture were to come out with the same quality as now, and I'm already excited. I hope the Pandas lecture comes out soon. I'll be waiting.

5.0

걷는보리

88% enrolled

This is really great. I took another class before this one, but I got tired and gave up because it covered even the minor details from the beginning without a clear focus. This class is really good because it explains the important parts well, starting with the principles, and it trims away the less important parts effectively. For beginners, a 100-page book with easy-to-understand basic concepts is much better than a 1,000-page book that documents everything.

What you will gain after the course

  • Python basics and the right direction for learning data analysis

  • Prerequisites for using Python in Excel

  • Overcoming the fear of learning coding and improving confidence

  • Basics of Using ChatGPT

  • A course that even non-majors and humanities students completed in a flash!

  • A course where students who failed to learn Python multiple times finally succeeded this time!

  • A lecture that explains the reasons and purposes, so you don't just mindlessly copy code without knowing what it's for!

  • A customized lecture that explains important content in detail while boldly pruning the rest!

Don't miss this opportunity to learn basic Python through a customized curriculum and enter the world of data analysis and coding!!

Instructor Introduction

Data Analysis Instructor Kim Panda

  • Multicampus Big Data Training Course Instructor

  • Fast Campus Online Courses


  • Customized corporate training for Hanwha Investment & Securities and others

  • Guest lecturer for data analysis at universities such as Dong-A University tại các trường đại học như Đại học Dong-A

  • Government-funded data analysis instructor at institutions such as the Youth Academy tại Học viện Thanh niên và các tổ chức khác


  • 『Excel for Python, Pandas Library』 🔗Link

  • YouTube Excel to Python Channel 🔗Link

⭐ Textbook Information

  • This course provides a self-produced 126-page book-style textbook as a PDF file.

  • Therefore, you do not need to purchase a separate book for the course.

  • You can check the table of contents and a preview of some pages through the link. 👉 Link

  • Just by taking the course, you are essentially obtaining a PDF file of a foundational Python textbook that you can refer to for a lifetime.

Python data analysis can increase your data processing speed by 10 times!

Python is an excellent programming language for handling data quickly and efficiently. Mastering data analysis with Python allows you to process vast amounts of data with ease, significantly increasing your data processing speed.

Python Data Analysis

  • Data processing speed increases and data processing capabilities grow noticeably.

  • Now you can use Python in the subscription version of Excel as well.

  • For those in data processing roles or those aspiring to be, Python is now a must.

When asked about your data processing skills, you answered with Python.

In the field of data, Python is branding itself. Not only does your data processing capability grow significantly through Python, but others will also evaluate your data processing skills even more highly. If a new employee at your company says, "I can analyze data with Python," you will feel that this single statement alone raises expectations for their basic data processing abilities.

Course Introduction

⭐ This course is a curriculum where beginners in Python data analysis learn basic Python in a customized way.

If you have to write a thesis in English but have no experience writing in English at all, you would need a prerequisite course to learn basic English writing before learning how to write an English thesis, right? Similarly, for those who have no coding experience or haven't achieved significant results in coding so far, a basic Python learning process is essential to enter the field of data analysis.

Beginners in data analysis should learn from basic Python to data analysis from an instructor.

If you learn the basics through an integrated basic Python course, it is not optimized for data analysis, so it is common to have to relearn from the basics after starting data analysis. This is because the scope of basic Python is broader than expected, and beginners who complete integrated courses designed for a general audience often focus on areas that are not relevant to data analysis. Because it is an integrated course, the cause is that you could not learn in a customized way that fits your goals.

Therefore, it is necessary to learn customized basic Python from the start with a data analysis instructor. This prevents giving up halfway due to exhaustion from a vast integrated curriculum, allows you to build a solid foundation of necessary basics, and sets the direction for learning with clear milestones. Because it is a customized course, you can achieve high results with much less time and effort.

In the era of generative AI, coding education must also change.

With the emergence of generative AI like ChatGPT, the paradigm of coding is changing rapidly. In the past, you had to write syntax and grammar yourself and resolve even minor errors on your own. However, we are now in an era where AI supports everything from code writing to error correction. Therefore, coding education must also change. Rather than focusing on individual techniques, clearly learning concepts and effectively utilizing AI for parts it can handle is the fastest way to achieve results.

Two rules beginners must follow to conquer Python most efficiently

  1. Use ChatGPT for problems that arise during coding.

  2. Strictly follow the first rule.

In that case, what should people who don't know how to use ChatGPT do?

If you haven't used ChatGPT yet, take this opportunity to learn ChatGPT along with an introduction to Python! This course not only covers Python but also supports your introduction to ChatGPT through three supplementary lectures so you can master how to use it. Learning ChatGPT additionally will actually save you time and effort, and you will be equipped with two powerful tools: Python and ChatGPT.

Recommended for these types of people

Data analysis beginners
Those who want to take on the challenge of data analysis or increase their value by strengthening their data processing capabilities

Office workers who have reached the limits of Excel
Those who feel the limitations of Excel in data processing tasks and are looking for more efficient methods

Python users who lack the basics
Those who have already learned data analysis but find their learning efficiency low due to a lack of Python fundamentals

Lecture Features

📌 This is a lecture that receives reviews saying, "It's so fun that I finished it quickly, and I gained confidence through its completion."

📌 This is a beginner-friendly, easy-to-follow course designed to help you build a solid foundation of concepts.

📌 We provide a goal-oriented curriculum designed to make it easy to reach completion.

📌 Instead of mindlessly typing along with the code, this course teaches using a top-down approach that explains the 'why'.

📌 Since coding is a field that many beginners find intimidating, this is a lecture that encourages the courage to overcome that fear.

📌 We constantly present the right direction for future data analysis learning.

📌 It helps you study more often by increasing accessibility through providing a convenient learning environment without installation.

📌 We provide book-style materials as PDFs for thorough conceptual learning.

📌 You will also learn the basics of using ChatGPT, gaining two powerful tools at once.

After taking the course,

  • You can master the Python fundamentals for data analysis learning.

  • You can establish the correct direction for learning data analysis..


  • Overcome your fear of coding and boost your confidence.

  • You can build a foundation for using ChatGPT.

  • Prerequisite learning for utilizing Python in Excel can be achieved.

Notes before taking the course

Practice Environment

  • Since we use Google Colab, a Python web development environment, no separate installation is required.

  • Google Colab Link: https://colab.research.google.com

  • Please check if you can access the attached link.

Learning Materials

  • The main lecture material, Basic Python Lecture Notes, is a book-style textbook provided in PDF format. (126 pages)

  • The basic Python lecture materials are also provided in IPYNB format, which are Python practice files.

  • Check the textbook table of contents and preview. 🔗LinkLiên kết

  • The auxiliary lecture Basics of Using ChatGPT, consisting of 3 sessions, is provided as a Notion-based webpage. 🔗Link

Prerequisites and Important Notes

  • Since this is a course designed for beginners, no special prior knowledge is required.

  • You are more amazing than you think. Please fill your heart with self-confidence.

  • Please note that unauthorized distribution of lecture materials is strictly prohibited. bị nghiêm cấm.


Recommended for
these people

Who is this course right for?

  • Data analysis beginners (university students, job seekers, office workers)

  • A student who has taken several coding courses but still lacks a solid foundation.

  • An office worker looking for alternatives after reaching the limits of Excel

  • Planners and marketers who handle a lot of data

  • University students and researchers organizing thesis data

Hello
This is

663

Learners

103

Reviews

15

Answers

4.9

Rating

1

Course

  • Multicampus Big Data training course instructor

  • 『Pandas Library, the Excel of Python』 published (🔗Link)

  • Customized offline training for corporations such as Hanwha Investment & Securities

  • Guest lecturer for data analysis at universities such as Dong-A University tại các trường đại học như Đại học Dong-A

    Instructor for government-funded data analysis projects, such as the Youth Academy Fastcampus online instructor Operator of the YouTube channel "Excel to Python" (🔗Link) A word of advice: Believe in yourself.

  • Government-funded data analysis project instructor at institutions such as the Youth Academy. tại Học viện Thanh niên và các tổ chức khác

  • Fast Campus Online Lectures

  • Operating the YouTube channel Excel to Python (🔗Link)

    A Message to You: Believe in yourself. You are far more capable than you think.


A Message to You

Believe in yourself.

You are a much more remarkable person than you think.


Instructor Fast Campus Online Lecturer Operator of YouTube channel "Excel to Python" (🔗Link) A Message to You Believe in yourself. You are far more capable than you think.

Curriculum

All

41 lectures ∙ (4hr 7min)

Course Materials:

Lecture resources
Published: 
Last updated: 

Reviews

All

103 reviews

4.9

103 reviews

  • gjftm12345672548님의 프로필 이미지
    gjftm12345672548

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    This lecture clearly sets the direction for what to study for proper data analysis. Unlike many textbooks on the market that focus on data types and control statement learning, this lecture is tailored for the purpose of data analysis. It tells you what is needed to learn the Pandas library and how it can be used in the future, which is great because it prevents you from getting exhausted by unnecessary studying and giving up. I am already enjoying the Pandas textbook so much, so I liked this lecture even more. The lecture content is excellent, and I like the way the content is presented. The code, explanations, and materials are displayed in a large format, making it easy to view, and the practice code and textbook provided make it easy to review. I can't help but wonder how great it would be if a full-fledged Pandas lecture were to come out with the same quality as now, and I'm already excited. I hope the Pandas lecture comes out soon. I'll be waiting.

    • kimpandas
      Instructor

      Thank you sincerely for the review. I will also cheer for Chaedongwoo's Pandas completion!

  • yamttok8842님의 프로필 이미지
    yamttok8842

    Reviews 2

    Average Rating 5.0

    5

    100% enrolled

    It was really great that you explained everything in detail so that even people learning Python for the first time could easily understand. And throughout the lecture, you encouraged us by saying things like "You can do it!" and "You are already excellent developers!" which was a huge help in completing the entire course:) Thanks to you, I listened to the lectures while encouraging myself, saying "I can do it!" It was a really good lecture for building the basics of Python! I plan to take the pandas lecture when it comes out too! Thank you for the great lecture:)

    • kimpandas
      Instructor

      Thank you for the evaluation, "an easy-to-understand and encouraging lecture"! Congratulations on completing the course!

  • 0226kht님의 프로필 이미지
    0226kht

    Reviews 3

    Average Rating 5.0

    Edited

    5

    59% enrolled

    This is exactly the lecture I was looking for. I wanted to learn Python specifically for data analysis, but there were no customized lectures, so I had to start with basic Python syntax and gave up several times because it was so boring. Pandas-only lectures were no different, but finally, a lecture in the style I wanted!

    • kimpandas
      Instructor

      I'm really proud that the lecture was a perfect fit for you. And your passion for not giving up after challenging multiple times is truly amazing. I'll also be cheering for Hmmm as you complete the Pandas course!

  • hanabikwon6154님의 프로필 이미지
    hanabikwon6154

    Reviews 1

    Average Rating 5.0

    Edited

    5

    100% enrolled

    A literature major with absolutely no coding knowledge was able to complete this course with ease. I had tried other Python courses before and quickly gave up, but this course was so fun that I actually finished it. I really liked how well the course provided direction and focused on the core essentials needed in the current situation. Such a valuable course. I'm looking forward to taking the Pandas course soon. I'm excited. Thank you for the great course!

    • kimpandas
      Instructor

      Reviews saying it's fun, these are reviews I really like. Thank you. I will also sincerely support hanabikwon's pandas completion!

  • lsjkor7042님의 프로필 이미지
    lsjkor7042

    Reviews 1

    Average Rating 5.0

    5

    100% enrolled

    I'm a Python beginner and a hardware development professional who needed pandas for work. After watching some Python basics and pandas lectures on YouTube, I found it too difficult to adapt to real-world applications, so I came to take this course. I'm so grateful that I'm leaving this review. I think many people like me who struggled with adapting to pandas probably couldn't read the "function documentation." I had never seen anyone explain the knowledge needed to read these function documentations, and I was just following examples below the documentation and gradually learning bit by bit. However, after watching this lecture, I gained the knowledge to read documentation and the direction for development, which enabled great confidence and rapid mastery. When I realized that the direction of this lecture was to build confidence in reading this "documentation" and develop the ability to understand and grow, I couldn't help but be moved by Kim Panda's big picture. (As a hardware developer, I also use a language called Verilog, and I'm very grateful that I can now understand this language's documentation as well.) The ipynb format allowed for comfortable hands-on practice, and I'm very grateful for the high density and direction provided within the short lectures. Also, the notes contain really important information, so I think this is a lecture that will be of great help to many people. I want to express my gratitude to Kim Panda, and if there are any working professionals considering whether to take this course, I would strongly recommend it. (And the lecture examples are so good. They resonate so well!)

    • kimpandas
      Instructor

      You really understood and absorbed the lecture well. I'm also grateful that you understood my intentions so well. You've realized the important fact that you need to read the "function's manual," and since you'll continue with this approach, you'll definitely succeed!

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