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02389nmm a2200385 u 4500 |
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EB002207350 |
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cr||||||||||||||||||||| |
| 008 |
240503 ||| eng |
| 020 |
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|a 9781394202249
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| 020 |
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|a 9781394202256
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| 020 |
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|a 1394202245
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| 020 |
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|a 1394202253
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| 050 |
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4 |
|a QA76.9.Q36
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| 100 |
1 |
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|a Nelson, Annie
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| 245 |
0 |
0 |
|a How to become a data analyst
|b my low-cost, no code roadmap for breaking into tech
|c Annie Nelson
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| 260 |
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|a Hoboken, New Jersey
|b Wiley
|c 2024
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| 300 |
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|a xxi, 266 pages
|b illustrations
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| 505 |
0 |
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|a Introduction -- Part I. The fun part -- Is data analytics right for me? -- Understanding the paths into data -- Designing your data analyst roadmap -- My experience with data analytics courses -- Part II. The scary part -- Introduction to portfolios -- Portfolio project FAQ -- Portfolio project handbook -- Part III. The hard part -- Starting your job search -- Résumé building and setting your public image -- Stages of data interviews -- How to use ChatGPT to aid you job search -- My job search -- Part IV. The bonus part -- After the job offer -- Preparing for/recovering from a layoff
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| 653 |
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|a Quantitative research / Vocational guidance
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| 653 |
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|a Recherche quantitative / Orientation professionnelle
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 500 |
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|a Includes index
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| 776 |
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|z 9781394202232
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| 776 |
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|z 1394202237
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| 776 |
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|z 1394202245
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| 776 |
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|z 9781394202249
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| 776 |
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|z 9781394202256
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| 856 |
4 |
0 |
|u https://learning.oreilly.com/library/view/~/9781394202232/?ar
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 331.702
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| 082 |
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|a 001.42
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| 082 |
0 |
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|a 001.4/2
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| 520 |
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|a Data analyst and analytics consultant Annie Nelson walks you through how she took the reins and made a dramatic career change to unlock new levels of career fulfilment and enjoyment. In the book, she talks about the adaptability, curiosity, and persistence you'll need to break free from the 9-5 grind and how data analytics--with its wide variety of skills, roles, and options--is the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one that's manageable for an entry-level professional but will still catch the eye of employers and clients
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