How to Become a Data Analyst in 2024 (FREE and from SCRATCH)

59,833 views

Carolina Data Analyst

Published on Nov 25, 2023
About :

In this video, I present a complete guide on how to learn data analytics from scratch, covering everything from defining the problem, through data collection, manipulation, and analysis, to data visualization and representation. In each phase, I cover a short explanation, the main activities that are carried out, the topics that need to be learned, the most required and valued skills in the world of work, as well as the programs or tools necessary to carry out data analysis processes. I also suggest some updated and very specific resources such as quality courses and books that will be the main source of knowledge during this learning and practice process. ????If this information is useful to you, let me know in the comments and don't forget to subscribe. ???? ====================== ????️ Discord Community: / discord ???? Subscribe to my channel: https://bit.ly/3xkFL62 ???? More videos - Data Analytics: bit.ly/3QcaQRH ???? Support my work: https://carolinadata.gumroad.com/ ====================== ????: In this and the other videos on the channel I share my learning in data analytics, I am an amateur in this field so if you want to contribute some valuable content that will help those of us who are entering this world, you can leave it in the comments, I will gladly answer it. ======================= Video Content: 00:00 Guide 00:25 Guide 01:36 Phase 0 04:36 Phase 1 04:43 Phase 1A 07:26 Phase 1B 10:44 Phase 1 Courses & Books 12:33 Phase 2 15:54 Phase 3 19:16 Value Phase 21:07 Extra Bonus (tips) 21:24 Project Portfolio ======================= ???????? Courses & Books ???? Google Data Analytics Professional Certificate: https://www.coursera.org/professional... ???? Google Advanced Data Analytics Professional Certificate: https://www.coursera.org/professional... ???? IBM Data Analyst Professional Certificate https://www.coursera.org/professional... ???? Leading with Questions https://www.oreilly.com/library/view/... ???? Excel Skills for Business Specialization https://www.coursera.org/specializati... ???? Business Analytics with Excel: Elementary to Advanced https://www.coursera.org/learn/busine... ???? Introduction to Structured Query Language (SQL) https://www.coursera.org/learn/intro-... ???? PostgreSQL for Everyone Specialization https://www.coursera.org/specializati... ???? Learning SQL https://www.oreilly.com/library/view/... ???? Introduction to Statistics https://www.coursera.org/learn/stanfo... ???? How to lie with statistics https://www.amazon.com/How-Lie-Statis... ???? Statistics for Data Science with Python https://www.coursera.org/learn/statis... ???? Statistics with Python Specialization https://www.coursera.org/specializati... ???? Practical Statistics for Data Scientists https://www.oreilly.com/library/view/... ???? Python for Everyone Specialization https://www.coursera.org/specializati... ???? Learn Python the Hard Way https://www.oreilly.com/search/?q=lea... ???? Python for Data Analysis https://www.oreilly.com/library/view/... ???? Storytelling with Data: https://www.storytellingwithdata.com/ ???? Fundamentals of Data Visualization https://www.oreilly.com/library/view/... ???? Microsoft Power BI Data Analyst Professional Certificate English: https://www.coursera.org/professional... ???? Tableau Business Intelligence Analyst Professional Certificate https://www.coursera.org/professional... ???? Work Smarter with Microsoft PowerPoint https://www.coursera.org/learn/micros... ???? Finding Your Professional Voice: Confidence and Impact https://www.coursera.org/learn/findin... ???? Coursera Payment and Subscription Policy: https://www.coursera.support/s/learne... Note: On Coursera you can take courses and access the course completely free, if you want certificates you can request financial aid on Coursera, subscribe to Coursera Plus or try to take the course or courses of your interest in the seven-day trial period. In the link above you will find more information about it. ====================== #DataAnalytics

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