[Non-majors are very welcome] Python data analysis that even zero-base users can easily learn - Kaggle Introduction
This introductory course is designed for non-majors, job seekers, and beginners with no data analysis experience, and will help you get started with Python and Kaggle, the world's largest data analysis platform. You will also build a job portfolio to build a data analysis career.
Data analysis isn't difficult! Learn practical data analysis with Kaggle.
From Python to Kaggle!
From Python Data Analysis to Kaggle Beginner Get started with data analysis step by step.
Lecture Topics and Objectives 💎
This course covers a simple introduction to Kaggle, starting with Python data analysis .
The main purpose of this lecture is to help you approach Kaggle, which can seem difficult, from the basics step by step .
Gain a holistic approach to managing your own data analytics career .
I highly recommend this to these people! 🔑
Complete beginner in data analysis
Non-majors who are hesitant about where to start and what to do
Job seekers who want to change careers to data analysis
Why Kaggle? ✨
What is Kaggle? It is a programming competition recognized domestically and internationally.
You can handle a huge amount of big data collected from actual transactions of companies, not data processed for educational purposes.
You can get quality data from a variety of experienced and talented data scientists who have published their algorithms in competitions.
During the competition period, various new data analysis methods are born, forming data analysis trends .
You can often see Kaggle on job portal sites (Saramin, Job Korea).
With data analysts Able to think about problems Kaggle, the giant platform!
Image source: Kaggle
What you'll learn in this course 🥕
Python data analysis, statistical analysis, machine learning
How to learn on Kaggle and participate in competitions, including NumPy, Pandas, Matplotlib, and Scikit-Learn
Google Colab, GitHub, Drive integration process
How to create a development blog
Course Features ❗️
The course will consist of 20% theory and 80% practice. Share links referenced by instructors to supplement the lacking theories and help you study on your own. *When referring to the link, if you are not familiar with English, please use Google Translate and Papago :)
In this lecture Introducing the composition 📋
Check out the books by knowledge sharers 📖
From starting with Python to getting a job with a portfolio, Kaggle with Python (*Author's direct lecture)
This textbook is a guide to quickly challenge Kaggle after learning simple theories and principles of data analysis .
We introduce various stories of ups and downs that you will experience while challenging Kaggle. It also includes how to use Github and create a Github Blog, which is just as important as challenging Kaggle to store your job portfolio .
This textbook will serve as a guide for anyone aspiring to become a data analyst.
You can take the course with just a Google Gmail account . However, please make sure you have enough Google Drive capacity so that you have ample space to upload data.
Beta Reader Review 👩💻
Offline training review 👩💻
Recommended for these people!
Who is this course right for?
For those new to coding
For those new to Kaggle
Anyone who wants to create a GitHub blog
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현재 국민대학교 비즈니스IT전문대학원에서 박사과정을 진행하고 있으며, 취업준비생들의 취업을 진심으로 돕기 위한 강의와 재직자들을 대상으로 R, Python, SQL, Excel, Tableau 등 분석과 관련된 강의로 밥벌이를 하고 있는 Evan입니다. 이제 만 3년이 되었는데, 국방부, 육군본부, 하나금융에서 단기강의로 강의를 시작한 이래로 다양한 기관(한국IT비즈니스협회, 한국능률협회, 한국소프트웨어기술진흥협회, 삼육대 등)에서 강의를 진행하였습니다. 현재는 2023년부터 위 기관 외에도 멀티캠퍼스에서 강의를 하나 맡아서 장기적으로 취업 준비생을 대상으로 교육을 진행하고 있습니다.
