The art of uncovering the insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and they accurately predicted the flooding of the Nile river every year. Since then, people working in data science have carved out a unique and distinct field for the work they do. This field is data science. In this course, we will meet some data science practitioners and we will get an overview of what data science is today.

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(21ย avis)
Ce que vous apprendrez
Define data science and its importance in todayโs data-driven world.
Describe the various paths that can lead to a career in data science.
Describe the advice given by seasoned data science professionals to data scientists who are just starting out.
Explain why data science is considered the sexiest job in the 21st century.
Compรฉtences que vous acquerrez
- Catรฉgorie : Deep Learning
- Catรฉgorie : Business Analytics
- Catรฉgorie : Data-Driven Decision-Making
- Catรฉgorie : Health Informatics
- Catรฉgorie : Data Analysis
- Catรฉgorie : Apache Hadoop
- Catรฉgorie : Digital Transformation
- Catรฉgorie : Data Storytelling
- Catรฉgorie : Analytics
- Catรฉgorie : Data Science
- Catรฉgorie : Big Data
- Catรฉgorie : Data Mining
- Catรฉgorie : Regression Analysis
Dรฉtails ร connaรฎtre

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6 devoirs
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Il y a 3 modules dans ce cours
์ด ๋ชจ๋์์๋ ์ด ๊ณผ์ ์์ ํ์ตํ ๋ด์ฉ์ ์์๋ณด๊ธฐ ์ํด ๊ณผ์ ๊ณํ์๋ฅผ ์ดํด๋ด ๋๋ค. ๋ํ ๋ฐ์ดํฐ ๊ณผํ ์ ๋ฌธ๊ฐ๋ก๋ถํฐ ๋ฐ์ดํฐ ๊ณผํ์ ์ ์, ๋ฐ์ดํฐ ๊ณผํ์๊ฐ ํ๋ ์ผ, ๋ฐ์ดํฐ ๊ณผํ์๊ฐ ๋งค์ผ ์ฌ์ฉํ๋ ๋๊ตฌ ๋ฐ ์๊ณ ๋ฆฌ์ฆ์ ๋ํด ๋ค์ด๋ด ๋๋ค. ๋ง์ง๋ง์ผ๋ก, ๋ฌธ์ ๊ณผ์ ๋ฅผ ์๋ฃํ์ฌ ๋ฐ์ดํฐ ๊ณผํ์ด 21์ธ๊ธฐ ๊ฐ์ฅ ๋งค๋ ฅ์ ์ธ ์ง์ ์ผ๋ก ์ฌ๊ฒจ์ง๋ ์ด์ ๋ฅผ ์์๋ด ๋๋ค.
Inclus
7 vidรฉos5 lectures2 devoirs1 sujet de discussion2 plugins
์ด ๋ชจ๋์์๋ New York University์ Stern Center for Research Computing ํ๋ถ์ฅ์ธ Norman White๊ฐ ๋ฐ์ดํฐ ๊ณผํ๊ณผ ์ด ๋ถ์ผ์์ ๊ฒฝ๋ ฅ์ ์๋ ๋ฐ ๊ด์ฌ์ด ์๋ ์ฌ๋์๊ฒ ํ์ํ ๊ธฐ์ ์ ๋ํด ์ด์ผ๊ธฐํ๊ณ , ๋ฐ์ดํฐ ๊ณผํ ๋ถ์ผ์์ ๊ฒฝ๋ ฅ์ ์์ํ๋ ค๋ ์ฌ๋๋ค์๊ฒ ์กฐ์ธ์ ์ ๊ณตํฉ๋๋ค. ๋ง์ง๋ง์ผ๋ก, ๋ฌธ์ ๊ณผ์ ๋ฅผ ์๋ฃํ์ฌ ์ฃผ์ด์ง ๋ฐ์ดํฐ ์ธํธ๋ฅผ ๋ง์ด๋ํ๋ ๊ณผ์ ๊ณผ ํ๊ท ๋ถ์์ ๋ํด ํ์ตํด์ผ ํฉ๋๋ค.
Inclus
7 vidรฉos2 lectures2 devoirs
์ด ๋ชจ๋์์๋ ๊ธฐ์ ์ด ๋ฐ์ดํฐ ๊ณผํ์ ์์ํ๊ธฐ ์ํด ๋ฌด์์ ํด์ผ ํ๋์ง์ ๋ํด ๋ฐฐ์๋๋ค. ๋ฐ์ดํฐ ๊ณผํ์๋ฅผ ๋ค๋ฅธ ์ ๋ฌธ๊ฐ์ ๊ตฌ๋ณํ๋ ๋ช ๊ฐ์ง ์์ง์ ๋ํด์๋ ๋ฐฐ์ฐ๊ฒ ๋ฉ๋๋ค. ๋ํ ๋ถ์๊ณผ ์ด ํ๋ก์ธ์ค์์ ๋ฐ์ดํฐ ๊ณผํ์๊ฐ ์ํํ๋ ์ค์ํ ์ญํ , ์คํ ๋ฆฌํ ๋ง ๋ฐ ํจ๊ณผ์ ์ธ ์ต์ข ๊ฒฐ๊ณผ๋ฌผ์ ์ค์์ฑ์ ๋ํด ๋ฐฐ์ฐ๊ฒ ๋ฉ๋๋ค. ๋ง์ง๋ง์ผ๋ก ์ฃผ๊ด์ ์ง๋ฌธ์ ๋ตํ์ฌ ๋ฐ์ดํฐ ๊ณผํ์ ๋ํด ๋ฐฐ์ด ๋ด์ฉ์ ์ ์ฉํด์ผ ํฉ๋๋ค.
Inclus
3 vidรฉos2 lectures2 devoirs1 รฉvaluation par les pairs
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