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The Well-Grounded Data Analyst
The Well-Grounded Data Analyst
Knygos.lt klubas Knygos.lt nariams
88,65 €
-15%
Įprastai
104,29 €
  • Išsiųsime per 10–14 d.d.
From the back cover: The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you'll build an impressive portfolio of projects you can showcase a…
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 472
  • ISBN-10: 1633437531
  • ISBN-13: 9781633437531
  • Formatas: 18.5 x 23.6 x 3.4 cm, kieti viršeliai
  • Kalba: Anglų

The Well-Grounded Data Analyst (el. knyga) (skaityta knyga) | knygos.lt

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From the back cover:

The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you'll build an impressive portfolio of projects you can showcase at your next interview.

About the reader:

For early-career data scientists.
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  • Autorius: David Asboth
  • Leidėjas:
  • Metai: 2025
  • Puslapiai: 472
  • ISBN-10: 1633437531
  • ISBN-13: 9781633437531
  • Formatas: 18.5 x 23.6 x 3.4 cm, kieti viršeliai
  • Kalba: Anglų

From the back cover:

The Well-Grounded Data Analyst introduces you to eight scenarios that every data analyst is bound to face. You'll practice author David Asboth's results-oriented approach as you model data by identifying customer records, navigate poorly-defined metrics, extract data from PDFs, and much more! It also teaches you how to take over incomplete projects and create rapid prototypes with real data. Along the way, you'll build an impressive portfolio of projects you can showcase at your next interview.

About the reader:

For early-career data scientists.

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