How to be a data analyst?

0:00 Introduction 3:27 Professor Mederios' experience 11:54 What is data analysis? 13:43 What is a data analyst? 17:02 What do data analysts do? 22:14 Qualifications needed to be a data analyst 23:45 Some tasks for a data analyst 26:10 Income expectation 27:43 Why would someone NOT like being a data analyst? 31:11 Tools used by data analysts* 32:31 Excel 33:19 MySQL 33:56 General purpose programming languages (Python, R, Java Script, etc.) 34:47 BI tools (Power BI, Tableau, Looker, Qlik, etc.) 35:30 How does Excel overlap the other data analysis tools? 37:26 Focus on Excel and Power BI 38:30 Three flavors of Power BI 40:00 BI tools in Excel 42:50 Power BI Desktop 43:38 Power BI Webservice 45:16 Overlap: Dashboards in Excel vs Power BI Desktop 47:15 Overlap: Excel Power Pivot vs Power BI Power Pivot 47:40 Overlap: Functionality between Excel and Power BI 49:45 Where can you get the skills for data analysis? 55:53 Suggestion: Create a portfolio 56:54 Examples Professor Medeiros' work (dashboards) 1:00:46 Student comments