5 misconceptions about data science

Our CEO, Yoshiaki Hirao, appeared on the business video media "PIVOT."
The article is titled "Five Misconceptions About Data Science" and explains the key points for utilizing data science in business.

table of contents

• Misconception 1: Data science = analyzing data
• Misconception 2: Data science is something more
• Misconception #3: Data science should be left to the experts
• Misconception 4: Analysis results = answers
• Misconception 5: It’s impossible for liberal arts students
• Recommended books to learn data science
• How can a liberal arts major become a data scientist?

Recommended books

3 books to learn the basics of data science

"Moneyball" Hayakawa Publishing

"Statistics is the most powerful science" Diamond Inc.

"The Mathematics that Determine Strategy" Bungeishunju

Recommended books for those who have read the above three books

"Strategies of Probability Thinking" KADOKAWA/Kadokawa Shoten

Recommended books for those who want to become data scientists

"Understanding Statistics through Manga" Ohmsha

"Complete Self-Study Introduction to Statistics" Diamond Inc.

"Data-Driven Marketing with Excel" Mynavi Publishing

Furthermore, those who want to learn by writing code

"Data Science with R" Morikita Publishing

"Understanding the Basics of Statistical Analysis with Python" Gijutsuhyoronsha