![[R을 R려줘] R 데이터 시각화Course Thumbnail](https://cdn.inflearn.com/public/courses/327142/cover/f3e01d95-c3af-4003-9a16-0e328594cf8b/327142-eng.png?f=avif&w=420)
[R을 R려줘] R 데이터 시각화
김승욱
R 기반 데이터 시각화📊를 가장 쉽게 설명한 강의. (거의) 다 알려드림😎. 마지막에는 COVID-19 💉백신 접종 데이터를 지도🗺️에 뿌려봅니다!
Basic
R, ggplot2
Big Branch Practical 1Day Class(R)
A current professional data analysis instructor at a large company who passed the Big Data Analysis Writer and Practical exams in one go will help you prepare quickly by summarizing the key points.
Reviews from Early Learners
What you will learn!
Introduction to Big Data Analysis Reporter Exam
Reproducing the big data analysis article test environment
Data Analysis Using R
The trend is big data analysis engineers!
Latest data qualification, challenge yourself properly.
Know-how proven by passing the latest big quarter!
Big data analyst?
The Big Data Analyst certification administered by the Korea Data Industry Promotion Agency is a new certification established in 2020. It is the latest nationally recognized certification with high demand for fostering and verifying big data analysis experts at the government level.
This is a course to prepare for the Big Data Analyst practical exam, a nationally recognized qualification course, using R. For prospective examinees who are having difficulty preparing because there is not much information about the exam yet, we will first ✌️pass✌️ and share the know-how!
Who would benefit from hearing this?
Pass the Big Quarter written exam
Take the practical test with R
Those who are preparing
Big Quarterly Practical Exam
I want to prepare in advance
People who do it
ADP, ProDS, DATA, etc.
Data Analysis Practical Qualification Course
Those who are preparing
Only for this lecture
Check out the benefits.
The core content
fast
faithful
Examination know-how
For the single-person household
Provides past exam questions
From basic grammar to statistics, machine learning, and practical examples, we'll quickly go over the key content needed to prepare for the Big Data Analyst qualification course. We'll give you a 👉point out👈 breakdown of what's being asked on the practical exam for each topic!
I will tell you more detailed information than the 🏆 Practical Exam Taking (Passing) Review🏆 that I experienced while taking the practical exam. However, not all statistical analysis and machine learning techniques in the scope of the exam are covered.
Instead! We cover 4 sets of past exam questions (12 questions total) to help you prepare well for the exam.
If you can write the answer code for the relevant example without any separate reference materials, I think you will definitely pass👨🎓.
The following content
I am learning.
1. Introduction to the Test
- We review not only R but also Python's exam criteria and suggest test preparation strategies.
- We will guide you through how to recreate the test environment so that you can prepare more systematically.
2. Data preprocessing
- Review the most important content by topic to prepare for the exam.
- Learn the most efficient code to produce results.
3. Statistics
- We will focus on the somewhat difficult interpretation of hypothesis testing results and carefully go over them to avoid mistakes when submitting your exam answers.
4. Machine Learning
- Quickly review representative algorithms for each subject area, including classification/regression/clustering analysis.
5. Past exam questions
- We help you prepare systematically for the exam with 4 sets of sample questions by type that meet the exam criteria.
Created this course
Introducing the knowledge sharer.
Kim Seung-wook
I majored in business analytics for my master's degree at UNIST and started data analytics. I started working in the data analytics team from my first career, and I am currently constantly working on outsourcing related to data analytics in addition to corporate/school lectures. 😎
I passed the Big Data Analyst exam on the second try, which was essentially a one-time exam.
History
- Corporate lectures: Samsung Group, Shinhan Group, Hana Financial Group, SK Group, LG Electronics, GS Caltex, S-oil, etc.
- University lectures: Sookmyung Women's University, Sungkyunkwan University, Kyungnam University, Seoul Women's University, Sangmyung University, etc.
- Writing related: Give me some R (author), Efficient R Programming (co-translation), Doing Data Science (translation review)
- Recent Research: International R&D Collaboration for a Global Aging Society: Focusing on Aging-Related National-Funded Projects
- Blog , Github
Expected Questions Q&A
Q. Is it possible to get full marks just by watching this lecture?
If you got a perfect score on the CSAT by just reading the textbook, it's possible!
Q. I can't write R code at all. Can I still take the class?
If you don't take the "[R for R] R Basics Course", the middle part will be quite difficult. Please check the past lectures before taking the course!
[R for R] Building the basics of R
R data analysis, easy and robust!
Q. Does the exam cover the full range of topics?
No, but it will be quite helpful for exam preparation by providing strategies and precautions for each type.
Please check!
- Any unauthorized distribution or use of any material provided through the Inflearn platform for commercial purposes may be subject to punishment under relevant laws. Please be aware! 🔒
- For external lecture requests or inquiries: contact@rloha.io
Recommended for
these people
Who is this course right for?
Those who are applying for a big data analysis position with R
If you are curious about the Big Data Analysis Technician practical environment
Need to know before starting?
R Basics
1,225
Learners
64
Reviews
63
Answers
4.8
Rating
4
Courses
[現] Rloha 대표
[現] EpicWorks IT 팀장
[前] MMMD 데이터 분석팀 팀장
[前] 커넥텀 연구원
[前] NBT 데이터 분석팀 엔지니어
[前] 기상청 빅데이터팀 연구원
주로 삼성 그룹사 데이터분석 강의 출강합니다.
누적 기업/대학 강의시간 7천시간 이상. (2024.12 기준)
contact@rloha.io
Curriculum
All
27 lectures ∙ (5hr 43min)
Course Materials:
Lecture resources
Published:
Last updated:
Reviews
All
11 reviews
4.6
11 reviews
gottkf221Reviews 1
∙
Average Rating 5.0
- 채진욱
Reviews 1
∙
Average Rating 5.0
- Hyun-jong Noh
Reviews 3
∙
Average Rating 5.0
- genimi5
Reviews 2
∙
Average Rating 5.0
- gardencjw
Reviews 1
∙
Average Rating 5.0
$26.40
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