by Tomi Mester | Released July 2017 | ISBN: 9781491993859

What do data scientists and analysts do? What software languages do they use and what soft and hard skills are required? Data science evangelist Tomi Mester answers these questions and more in this peek into the work world of data professionals.You'll get an introduction into how to use coding, statistics and business thinking for data projects. You'll see a demonstration of data science's three essential languages (SQL, Python, and R). As you explore the types of business thinking that data professionals use, Tomi will show you the statistical tools and methods data scientists and analysts use in their jobs, and you'll learn about the pathways you can take to become a data scientist. Understand what data scientists and analysts do, how they work, and how they think Learn about the three data languages every data scientist and analyst must know Improve your ability to effectively communicate with data professionals Pick up tips on how you can get hands-on data science experience Discover how you can become a data analyst or data scientistTomi Mester is a data analyst and researcher for iZettle, a financial technology company based in Stockholm, Sweden. An evangelist for the burgeoning field of data science and analytics, Tomi runs data36.com, a blog containing posts and tutorials about data science, AB-testing, online research, and data coding. Show and hide more Publisher resources Download Example Code

1. Introduction
   • Welcome To The Course 00:02:28
   • About The Author 00:01:33
   • Introduction - The 3 Major Areas You Should Learn About 00:03:02
2. Fundamentals Of Coding In Python, SQL, And R
   • The 3 Major Data Languages - SQL, Python, And R 00:03:38
   • Demonstration Of SQL For Data Analysis 00:02:55
   • Demonstration Of Python For Data Analysis 00:04:02
   • Demonstration Of R For Data Analysis 00:03:04
   • Summary Of The Major Data Languages 00:03:49
3. Fundamentals Of Statistics For Data Scientists And Data Analysts
   • The Difference Between A Data Analyst And A Data Scientist 00:03:02
   • How To Apply Statistics As A Data Analyst 00:03:01
   • How To Apply Statistics As A Data Scientist 00:03:55
   • Where The Line Blurs 00:01:22
4. Fundamentals Of Business Thinking For Data Science And Data Analytics
   • How Will Your Data Project Be Useful 00:03:50
   • Communicate Your Data 00:03:11
5. Next Steps Toward A Career In Data Science Or Data Analytics
   • How Can You Learn About Data Science And Analytics 00:03:12
   • How To Get Hands-On Experience/Pet Projects 00:03:07
6. Conclusion
   • Thank You And Goodbye 00:01:07
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