
기초부터 실무까지 Tableau 시각화
정준영
Tableau의 다양한 기능을 이해하는 기초부터 시작해서 실무 예제인 매출 분석 대시보드까지 전 과정을 하나의 강의로 담았습니다.
입문
Tableau
This is a lecture titled "Data Analysis Based on Practical Examples" prepared for data analysts.

Understanding Data Analysis
Treasure Hunt in Structured Data I - What Happened in Cafes Over the Past Year?
Treasure Hunt in Structured Data II - Is KOSPI Predictable?
Treasure Hunt in Unstructured Data I - Analyzing Today's News Keywords
Treasure Hunt in Unstructured Data II - Are YouTube Videos Positive Reactions?
Data Analysis, Now Practiced! 📊
Find treasures in the overflowing data.
Through various structured and unstructured data analysis cases
Develop the data analysis skills essential for the field!
Most books and lectures published on the market cover theories or programming fundamentals necessary for data analysis. In other words, it's difficult to find content that reflects real-world issues .
In this course, you'll explore various data analysis cases and learn the overall analysis process by practicing them yourself. I've compiled the insights I've gained over the past five years into the book "R Data Analysis with Practical Examples," and excerpts from it have been compiled into a lecture format. The goal of this course is to introduce the most common use cases for structured and unstructured data in various fields and help you understand the analysis process.
Theory and practice all in one!
[Key Terms - Learning Assessment - Summary] Step 3 ✅
This course is divided into five sections, each combining theory and practice. To overcome the limitations of remote lectures, each section concludes with a learning assessment and summary to encourage student participation. Furthermore, to ensure a consistent learning experience, each section includes a key terminology.
Key Terms 📚
We select and introduce key terms that correspond to the topic of each section.
Learning Assessment 💯
We offer three quizzes to assess your learning for each section.
Organize 📍
Finally, we summarize three key topics for each section to help you understand.
Understanding the Analysis Process with 5 Essential Practical Examples for Data Analysts (Author's Lecture)
This textbook, based on the theory of the data analysis process and five practical examples, provides clear answers to the questions, "How should I acquire data and in what order should I analyze it?"
※ Purchase of textbooks is not required.
Who is this course right for?
A person who knows R but is at a loss about how to proceed
Who needs data analysis examples?
People who want to apply various data analysis examples to their current work
Need to know before starting?
R Programming
97
Learners
8
Reviews
6
Answers
3.9
Rating
2
Courses
All
30 lectures ∙ (4hr 49min)
Course Materials:
All
1 reviews
$26.40
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