Data Analysis: How Much STATISTICS Do You Need to Know?

From the creator

πŸ‘¨β€πŸ’» Master data science skills and build your portfolio in 10 minutes a week https://thu-vu.ck.page/49c5ee08f6 Hi everyone! It's been a while since I last uploaded a video due to my busy schedule and exams. But I'm back today with a video about Statistics for data analysis, which many of you have questions about: How much statistics do you need to know when you start your career as a data analyst or data scientist. Let me know if this is helpful to you! Enjoy! πŸ‘©πŸ»β€πŸ’» COURSES & RESOURCES β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ“– Google Advanced Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/anK9zZ πŸ“– Google Data Analytics Certificate πŸ‘‰ https://imp.i384100.net/15v9y6 πŸ“– Learn SQL Basics for Data Science Specialization πŸ‘‰ https://imp.i384100.net/AovPnJ πŸ“– Excel Skills for Business πŸ‘‰ https://coursera.pxf.io/doPaoy πŸ“– Machine Learning Specialization πŸ‘‰ https://imp.i384100.net/RyjykN πŸ“– Data Visualization with Tableau Specialization πŸ‘‰https://imp.i384100.net/n15XWR πŸ“– Deep Learning Specialization πŸ‘‰ https://imp.i384100.net/zavBA0 πŸ“– Mathematics for Machine Learning and Data Science Specialization πŸ‘‰ https://imp.i384100.net/LXK0gj πŸ“– Applied Data Science with Python πŸ‘‰ https://imp.i384100.net/gbxOqv πŸ™‹πŸ»β€β™€οΈ LET'S CONNECT! β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€β–€ πŸ€“ Join my Discord server: https://discord.gg/SK7ZC5XhcS πŸ“© Newsletter: https://thu-vu.ck.page/profile ✍ Medium: https://medium.com/@vuthihienthu.ueb As a member of the Amazon and Coursera Affiliate Programs, I earn a commission from qualifying purchases on some of the links above. It costs you nothing but helps me with content creation. πŸ”‘ TIMESTAMPS ================================ 0:00 - Intro 1:19 - Statistics for exploratory data analysis 5:27 - Data & Sampling distribution 12:52 - How much Statistics is enough? 13:27 - Outro #ThuVu #Datanerd #DataAnalysis #CoffeeData #DataScience #dataanalytics

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