Specifications
| Publisher | John Wiley & Sons Inc |
| ISBN 13 | 9781394202232 |
| ISBN 10 | 1394202237 |
| Book Description | Start a brand-new career in data analytics with no-nonsense advice from a self-taught data analytics consultantIn How to Become a Data Analyst: My Low-Cost, No Code Roadmap for Breaking into Tech, 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 youll need to break free from the 9-5 grind and how data analyticswith its wide variety of skills, roles, and optionsis the perfect field for people looking to refresh their careers. Annie offers practical and approachable data portfolio-building advice to help you create one thats manageable for an entry-level professional but will still catch the eye of employers and clients. Youll also find: Deep dives into the learning journey required to step into a data analytics roleWays to avoid getting lost in the maze of online courses and certifications you can find onlinewhile still obtaining the skills you need to be competitiveExplorations of the highs and lows of Annies career-change journey and job searchincluding what was hard, what was easy, what worked well, and what didntStrategies for using ChatGPT to help you in your job searchA must-read roadmap to a brand-new and exciting career in data analytics, How to Become a Data Analyst is the hands-on tutorial that shows you exactly how to succeed. |
| About the Author | ANNIE NELSON is a self-taught data analyst and Tableau consultant, as well as a popular commentator on TikTok (@anniesanalytics) where she shares her experiences and journey through the world of data analytics. She works remotely, balancing her self-scheduled work with frequent trips abroad and growing her substantial following on social media. |
| Language | English |
| Author | Annie Nelson |
| Language | English |
| Publication Date | 2023 |
| Number of Pages | 288.0 |
How to Become a Data Analyst
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