Data Science Π΄Π»Ρ ΠΊΠ°ΡΡΠ΅ΡΠΈΡΡΠ°
ΠΠΎΠ»ΠΈΡ ΠΠ°ΠΊΠ»ΠΈΠ½, 2021, ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ°
ΠΠ±Π·ΠΎΡ
ΠΡΠ° ΠΊΠ½ΠΈΠ³Π° ΠΏΡΠ΅Π΄Π»Π°Π³Π°Π΅Ρ ΠΊΠΎΠΌΠΏΠ»Π΅ΠΊΡΠ½ΡΠΉ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ ΠΊ ΠΏΠΎΡΡΡΠΎΠ΅Π½ΠΈΡ Π΄ΠΎΠ»Π³ΠΎΡΡΠΎΡΠ½ΠΎΠΉ ΠΊΠ°ΡΡΠ΅ΡΡ Π² ΠΎΠ±Π»Π°ΡΡΠΈ Data Science. ΠΠ½Π° ΠΏΠΎΠ΄ΡΠ΅ΡΠΊΠΈΠ²Π°Π΅Ρ Π²Π°ΠΆΠ½ΠΎΡΡΡ ΡΠΎΡΠ΅ΡΠ°Π½ΠΈΡ ΡΠ΅Ρ
Π½ΠΈΡΠ΅ΡΠΊΠΈΡ
Π·Π½Π°Π½ΠΈΠΉ Ρ ΡΠ°Π·Π²ΠΈΡΡΠΌΠΈ Β«ΠΌΡΠ³ΠΊΠΈΠΌΠΈ Π½Π°Π²ΡΠΊΠ°ΠΌΠΈΒ» Π΄Π»Ρ ΡΡΠ°Π½ΠΎΠ²Π»Π΅Π½ΠΈΡ Π²ΠΎΡΡΡΠ΅Π±ΠΎΠ²Π°Π½Π½ΡΠΌ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠΎΠΌ. Π ΡΠΊΠΎΠ²ΠΎΠ΄ΡΡΠ²ΠΎ ΠΏΠΎΠΌΠΎΠΆΠ΅Ρ ΠΏΠΎΠ»ΡΡΠΈΡΡ ΠΏΠ΅ΡΠ²ΡΡ ΡΠ°Π±ΠΎΡΡ Π² ΡΡΠ΅ΡΠ΅ Data Science ΠΈ ΡΡΠ°ΡΡ ΡΠ΅Π½Π½ΡΠΌ ΡΠΎΡΡΡΠ΄Π½ΠΈΠΊΠΎΠΌ. ΠΠΏΡΡΠ½ΡΠ΅ ΡΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΡ Π΄Π΅Π»ΡΡΡΡ ΠΈΠ΄Π΅ΡΠΌΠΈ Π΄Π»Ρ ΠΏΡΠ΅ΠΎΠ΄ΠΎΠ»Π΅Π½ΠΈΡ ΡΡΡΠ΄Π½ΠΎΡΡΠ΅ΠΉ ΠΈ ΠΏΠ»Π°Π½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΠΊΠ°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΠΏΡΡΠΈ.
ΠΠΎΠΌΡ ΠΏΠΎΠ΄ΠΎΠΉΠ΄ΡΡ
- Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠ°ΠΌ, ΡΡΡΠ΅ΠΌΡΡΠΈΠΌΡΡ Π½Π°ΡΠ°ΡΡ ΠΊΠ°ΡΡΠ΅ΡΡ Π² Data Science.
- ΠΡΠΎΡΠ΅ΡΡΠΈΠΎΠ½Π°Π»Π°ΠΌ, ΠΆΠ΅Π»Π°ΡΡΠΈΠΌ ΡΠ°Π·Π²ΠΈΡΡ ΡΠ²ΠΎΠΈ Β«ΠΌΡΠ³ΠΊΠΈΠ΅ Π½Π°Π²ΡΠΊΠΈΒ» Π΄Π»Ρ ΠΊΠ°ΡΡΠ΅ΡΠ½ΠΎΠ³ΠΎ ΡΠΎΡΡΠ°.
- Π’Π΅ΠΌ, ΠΊΡΠΎ ΠΈΡΠ΅Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ ΡΠΎΠ²Π΅ΡΡ ΠΏΠΎ ΡΠΎΡΡΠ°Π²Π»Π΅Π½ΠΈΡ ΡΠ΅Π·ΡΠΌΠ΅ ΠΈ ΠΏΡΠΎΡ
ΠΎΠΆΠ΄Π΅Π½ΠΈΡ ΡΠΎΠ±Π΅ΡΠ΅Π΄ΠΎΠ²Π°Π½ΠΈΠΉ.
- Π‘ΠΏΠ΅ΡΠΈΠ°Π»ΠΈΡΡΠ°ΠΌ, ΡΠ°Π±ΠΎΡΠ°ΡΡΠΈΠΌ ΡΠΎ ΡΠ»ΠΎΠΆΠ½ΡΠΌΠΈ ΡΡΠ΅ΠΉΠΊΡ
ΠΎΠ»Π΄Π΅ΡΠ°ΠΌΠΈ ΠΈ Π½ΡΠΆΠ΄Π°ΡΡΠΈΠΌΡΡ Π² Π°Π΄Π°ΠΏΡΠ°ΡΠΈΠΈ ΠΏΡΠΎΠ΅ΠΊΡΠΎΠ².
ΠΠ»ΡΡΠ΅Π²ΡΠ΅ ΠΎΡΠΎΠ±Π΅Π½Π½ΠΎΡΡΠΈ
- Π―Π·ΡΠΊ: Π ΡΡΡΠΊΠΈΠΉ
- Π‘ΡΡΠ°Π½ΠΈΡ: 368
- Π’ΠΈΠΏ ΠΎΠ±Π»ΠΎΠΆΠΊΠΈ: ΠΌΡΠ³ΠΊΠ°Ρ ΠΎΠ±Π»ΠΎΠΆΠΊΠ°
- ΠΠ·Π΄Π°ΡΠ΅Π»ΡΡΡΠ²ΠΎ: ΠΠΈΡΠ΅Ρ
- Π‘Π΅ΡΠΈΡ: ΠΠΈΠ±Π»ΠΈΠΎΡΠ΅ΠΊΠ° ΠΏΡΠΎΠ³ΡΠ°ΠΌΠΌΠΈΡΡΠ°
- ΠΠΎΠ΄ ΠΈΠ·Π΄Π°Π½ΠΈΡ: 2021
- ISBN: 9785446117345
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Data Science for Careerists
Jacquelyn Nolis, 2021, Programmer's Library
Overview
This book offers a comprehensive approach to building a long-term career in Data Science. It emphasizes the importance of combining technical expertise with developed soft skills to become a sought-after professional. The guide aims to help readers secure their first job in Data Science and grow into valuable employees. Experienced data scientists share insights for navigating challenges and planning career trajectories.
Who it's for
- Individuals aspiring to start a career in Data Science.
- Professionals looking to enhance their soft skills for career advancement.
- Those seeking practical advice on resume building and interview techniques.
- Specialists working with complex stakeholders who need to adapt projects.
Key features
- Language: Russian
- Pages: 368
- Binding: Softcover
- Publisher: Piter
- Series: Programmer's Library
- Year: 2021
- ISBN: 9785446117345