Database for Beginners
ezdatascience
In this course, you will learn how to operate PostgreSQL and explore methods for integrating it with Python.
초급
Python, PostgreSQL, SQLAlchemy
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.
663 learners
Level Beginner
Course period Unlimited
Reviews from Early Learners
5.0
hanabikwon
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
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
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.
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
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
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.
All
41 lectures ∙ (4hr 7min)
Course Materials:
All
103 reviews
4.9
103 reviews
Reviews 1
∙
Average Rating 5.0
5
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.
Thank you sincerely for the review. I will also cheer for Chaedongwoo's Pandas completion!
Reviews 2
∙
Average Rating 5.0
5
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:)
Thank you for the evaluation, "an easy-to-understand and encouraging lecture"! Congratulations on completing the course!
Reviews 3
∙
Average Rating 5.0
Edited
5
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!
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!
Reviews 1
∙
Average Rating 5.0
Edited
5
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!
Reviews saying it's fun, these are reviews I really like. Thank you. I will also sincerely support hanabikwon's pandas completion!
Reviews 1
∙
Average Rating 5.0
5
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!)
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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