IBM

๋ฐ์ดํ„ฐ ๊ณผํ•™์ด๋ž€ ๋ฌด์—‡์ธ๊ฐ€?

ๅณๅฐ†็ป“ๆŸ๏ผš ๅช้œ€ 199 ็พŽๅ…ƒ๏ผˆๅŽŸไปท 399 ็พŽๅ…ƒ๏ผ‰ๅณๅฏ้€š่ฟ‡ Coursera Plus ๅญฆไน ๆ–ฐๆŠ€่ƒฝใ€‚็ซ‹ๅณ่Š‚็œ

IBM

๋ฐ์ดํ„ฐ ๊ณผํ•™์ด๋ž€ ๋ฌด์—‡์ธ๊ฐ€?

Rav Ahuja
Alex Aklson

ไฝๆ•™ๅธˆ๏ผšRav Ahuja

ๅŒ…ๅซๅœจ Coursera Plus ไธญ

ๆทฑๅ…ฅไบ†่งฃไธ€ไธชไธป้ข˜ๅนถๅญฆไน ๅŸบ็ก€็Ÿฅ่ฏ†ใ€‚
4.5

๏ผˆ21 ๆก่ฏ„่ฎบ๏ผ‰

ๅˆ็บง ็ญ‰็บง
ๆ— ้œ€ๅ…ทๅค‡็›ธๅ…ณ็ป้ชŒ
5 ๅฐๆ—ถ ๅฎŒๆˆ
็ตๆดป็š„่ฎกๅˆ’
่‡ช่กŒๅฎ‰ๆŽ’ๅญฆไน ่ฟ›ๅบฆ
ๆทฑๅ…ฅไบ†่งฃไธ€ไธชไธป้ข˜ๅนถๅญฆไน ๅŸบ็ก€็Ÿฅ่ฏ†ใ€‚
4.5

๏ผˆ21 ๆก่ฏ„่ฎบ๏ผ‰

ๅˆ็บง ็ญ‰็บง
ๆ— ้œ€ๅ…ทๅค‡็›ธๅ…ณ็ป้ชŒ
5 ๅฐๆ—ถ ๅฎŒๆˆ
็ตๆดป็š„่ฎกๅˆ’
่‡ช่กŒๅฎ‰ๆŽ’ๅญฆไน ่ฟ›ๅบฆ

ๆ‚จๅฐ†ๅญฆๅˆฐไป€ไนˆ

  • Define data science and its importance in todayโ€™s 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.

่ฆไบ†่งฃ็š„่ฏฆ็ป†ไฟกๆฏ

ๅฏๅˆ†ไบซ็š„่ฏไนฆ

ๆทปๅŠ ๅˆฐๆ‚จ็š„้ข†่‹ฑๆกฃๆกˆ

ไฝœไธš

6 ้กนไฝœไธš

ๆŽˆ่ฏพ่ฏญ่จ€๏ผš้Ÿฉ่ฏญ

ไบ†่งฃ้กถ็บงๅ…ฌๅธ็š„ๅ‘˜ๅทฅๅฆ‚ไฝ•ๆŽŒๆก็ƒญ้—จๆŠ€่ƒฝ

Petrobras, TATA, Danone, Capgemini, P&G ๅ’Œ L'Oreal ็š„ๅพฝๆ ‡

่ฏฅ่ฏพ็จ‹ๅ…ฑๆœ‰3ไธชๆจกๅ—

์ด ๋ชจ๋“ˆ์—์„œ๋Š” ์ด ๊ณผ์ •์—์„œ ํ•™์Šตํ•  ๋‚ด์šฉ์„ ์•Œ์•„๋ณด๊ธฐ ์œ„ํ•ด ๊ณผ์ • ๊ณ„ํš์„œ๋ฅผ ์‚ดํŽด๋ด…๋‹ˆ๋‹ค. ๋˜ํ•œ ๋ฐ์ดํ„ฐ ๊ณผํ•™ ์ „๋ฌธ๊ฐ€๋กœ๋ถ€ํ„ฐ ๋ฐ์ดํ„ฐ ๊ณผํ•™์˜ ์ •์˜, ๋ฐ์ดํ„ฐ ๊ณผํ•™์ž๊ฐ€ ํ•˜๋Š” ์ผ, ๋ฐ์ดํ„ฐ ๊ณผํ•™์ž๊ฐ€ ๋งค์ผ ์‚ฌ์šฉํ•˜๋Š” ๋„๊ตฌ ๋ฐ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•ด ๋“ค์–ด๋ด…๋‹ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ฌธ์„œ ๊ณผ์ œ๋ฅผ ์™„๋ฃŒํ•˜์—ฌ ๋ฐ์ดํ„ฐ ๊ณผํ•™์ด 21์„ธ๊ธฐ ๊ฐ€์žฅ ๋งค๋ ฅ์ ์ธ ์ง์—…์œผ๋กœ ์—ฌ๊ฒจ์ง€๋Š” ์ด์œ ๋ฅผ ์•Œ์•„๋ด…๋‹ˆ๋‹ค.

ๆถต็›–็š„ๅ†…ๅฎน

7ไธช่ง†้ข‘5็ฏ‡้˜…่ฏปๆๆ–™2ไธชไฝœไธš1ไธช่ฎจ่ฎบ่ฏ้ข˜2ไธชๆ’ไปถ

์ด ๋ชจ๋“ˆ์—์„œ๋Š” New York University์˜ Stern Center for Research Computing ํ•™๋ถ€์žฅ์ธ Norman White๊ฐ€ ๋ฐ์ดํ„ฐ ๊ณผํ•™๊ณผ ์ด ๋ถ„์•ผ์—์„œ ๊ฒฝ๋ ฅ์„ ์Œ“๋Š” ๋ฐ ๊ด€์‹ฌ์ด ์žˆ๋Š” ์‚ฌ๋žŒ์—๊ฒŒ ํ•„์š”ํ•œ ๊ธฐ์ˆ ์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•˜๊ณ , ๋ฐ์ดํ„ฐ ๊ณผํ•™ ๋ถ„์•ผ์—์„œ ๊ฒฝ๋ ฅ์„ ์‹œ์ž‘ํ•˜๋ ค๋Š” ์‚ฌ๋žŒ๋“ค์—๊ฒŒ ์กฐ์–ธ์„ ์ œ๊ณตํ•ฉ๋‹ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ, ๋ฌธ์„œ ๊ณผ์ œ๋ฅผ ์™„๋ฃŒํ•˜์—ฌ ์ฃผ์–ด์ง„ ๋ฐ์ดํ„ฐ ์„ธํŠธ๋ฅผ ๋งˆ์ด๋‹ํ•˜๋Š” ๊ณผ์ •๊ณผ ํšŒ๊ท€ ๋ถ„์„์— ๋Œ€ํ•ด ํ•™์Šตํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

ๆถต็›–็š„ๅ†…ๅฎน

7ไธช่ง†้ข‘2็ฏ‡้˜…่ฏปๆๆ–™2ไธชไฝœไธš

์ด ๋ชจ๋“ˆ์—์„œ๋Š” ๊ธฐ์—…์ด ๋ฐ์ดํ„ฐ ๊ณผํ•™์„ ์‹œ์ž‘ํ•˜๊ธฐ ์œ„ํ•ด ๋ฌด์—‡์„ ํ•ด์•ผ ํ•˜๋Š”์ง€์— ๋Œ€ํ•ด ๋ฐฐ์›๋‹ˆ๋‹ค. ๋ฐ์ดํ„ฐ ๊ณผํ•™์ž๋ฅผ ๋‹ค๋ฅธ ์ „๋ฌธ๊ฐ€์™€ ๊ตฌ๋ณ„ํ•˜๋Š” ๋ช‡ ๊ฐ€์ง€ ์ž์งˆ์— ๋Œ€ํ•ด์„œ๋„ ๋ฐฐ์šฐ๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๋˜ํ•œ ๋ถ„์„๊ณผ ์ด ํ”„๋กœ์„ธ์Šค์—์„œ ๋ฐ์ดํ„ฐ ๊ณผํ•™์ž๊ฐ€ ์ˆ˜ํ–‰ํ•˜๋Š” ์ค‘์š”ํ•œ ์—ญํ• , ์Šคํ† ๋ฆฌํ…”๋ง ๋ฐ ํšจ๊ณผ์ ์ธ ์ตœ์ข… ๊ฒฐ๊ณผ๋ฌผ์˜ ์ค‘์š”์„ฑ์— ๋Œ€ํ•ด ๋ฐฐ์šฐ๊ฒŒ ๋ฉ๋‹ˆ๋‹ค. ๋งˆ์ง€๋ง‰์œผ๋กœ ์ฃผ๊ด€์‹ ์งˆ๋ฌธ์— ๋‹ตํ•˜์—ฌ ๋ฐ์ดํ„ฐ ๊ณผํ•™์— ๋Œ€ํ•ด ๋ฐฐ์šด ๋‚ด์šฉ์„ ์ ์šฉํ•ด์•ผ ํ•ฉ๋‹ˆ๋‹ค.

ๆถต็›–็š„ๅ†…ๅฎน

3ไธช่ง†้ข‘2็ฏ‡้˜…่ฏปๆๆ–™2ไธชไฝœไธš1ๆฌกๅŒไผด่ฏ„ๅฎก

ไฝๆ•™ๅธˆ

ๆŽˆ่ฏพๆ•™ๅธˆ่ฏ„ๅˆ†
4.5 (5ไธช่ฏ„ไปท)
Rav Ahuja
IBM
56 ้—จ่ฏพ็จ‹ 4,689,633 ๅๅญฆ็”Ÿ

ๆไพ›ๆ–น

IBM

ไปŽ Data Analysis ๆต่งˆๆ›ดๅคšๅ†…ๅฎน

ไบบไปฌไธบไป€ไนˆ้€‰ๆ‹ฉ Coursera ๆฅๅธฎๅŠฉ่‡ชๅทฑๅฎž็Žฐ่Œไธšๅ‘ๅฑ•

Felipe M.
่‡ช 2018ๅผ€ๅง‹ๅญฆไน ็š„ๅญฆ็”Ÿ
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Larry W.
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''ๅฆ‚ๆžœๆˆ‘็š„ๅคงๅญฆไธๆไพ›ๆˆ‘้œ€่ฆ็š„ไธป้ข˜่ฏพ็จ‹๏ผŒCoursera ไพฟๆ˜ฏๆœ€ๅฅฝ็š„ๅŽปๅค„ไน‹ไธ€ใ€‚'
Chaitanya A.
''ๅญฆไน ไธไป…ไป…ๆ˜ฏๅœจๅทฅไฝœไธญๅš็š„ๆ›ดๅฅฝ๏ผšๅฎƒ่ฟœไธๆญขไบŽๆญคใ€‚Coursera ่ฎฉๆˆ‘ๆ— ้™ๅˆถๅœฐๅญฆไน ใ€‚'

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