Learn the distinguishing factors between Data Analytics, Data Science, and Data Engineering . Demystify how data moves from collection to analysis, and what people, processes and technologies are involved . Discover data tools – which are the most popular, how they work together, and why some are preferred over others . Get a step-by-step learning roadmap to becoming a practitioner of Data Analytics and insight in to career paths that are most relevant . This course now includes free access to our Data Fundamentals Handbook, which compliments all the video content in this course in written form . The inspiration for building this course is right in the title – it’s the Analytics Context We Wish We Had, When We First Started .Authentication failed. Unique API key is not valid for this user.

Who this course is for:

  • People who want to learn more about data, but don’t know where to start
  • Anyone who believes that learning to work with data will change the way they do business, live their lives and help others
  • Someone who wants to ultimately work with data tools and learn how to make data-driven decisions
  • This course is the first step in learning how to work with data, building the context needed to understand the big picture
  • This course is NOT an Excel or SQL tutorial
File Name :Beginner’s Guide to Data & Data Analytics, by SF Data School free download
Content Source:udemy
Genre / Category:Business
File Size :6.13 gb
Publisher :Colby Schrauth
Updated and Published:05 May,2022

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File name: Beginner-s-Guide-to-Data-Data-Analytics-by-SF-Data-School.rar
File Size:6.13 gb
Course duration:10 hours
Instructor Name:Colby Schrauth , Serge LeBlanc
Language:English
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