PHP-Fusion Powered Website - Articles: Learning Data Analytics with Robin Hunt

Users Online

· Guests Online: 20

· Members Online: 0

· Total Members: 188
· Newest Member: meenachowdary055

Forum Threads

Newest Threads

No Threads created

Hottest Threads

No Threads created

Latest Articles

· Do while loop
· The for loop in C
· C while loop
· Pointers in C
· Functions in C

Oh no! Where's the JavaScript?
Your Web browser does not have JavaScript enabled or does not support JavaScript. Please enable JavaScript on your Web browser to properly view this Web site,
or upgrade to a Web browser that does support JavaScript; Firefox, Safari, Opera, Chrome or a version of Internet Explorer newer then version 6.

Articles Hierarchy

Articles Home » Analytics » Learning Data Analytics with Robin Hunt

Learning Data Analytics with Robin Hunt

Learn the basics of data analytics: using data for analysis and reporting. This beginner-level data science course is for anyone who works with data.

1h 39m • COURSE

Every person who works with data has to perform analytics at some point. This popular training course—dramatically expanded and enhanced for 2018—teaches analysts and non-analysts alike the basics of data analytics and reporting. Robin Hunt defines what data analytics is and what data analysts do. She then shows how to identify your data set—including the data you don't have—and interpret and summarize data. She also shows how to perform specialized tasks such as creating workflow diagrams, cleaning data, and joining data sets for reporting. Coverage continues with best practices for data analytics projects, such as verifying data and conducting effective meetings, and common mistakes to avoid. Then learn techniques for repurposing, charting, and pivoting data. Plus, get helpful productivity-enhancing shortcuts and troubleshooting tips for the most popular data analytics program, Microsoft Excel.

Topics include:

Define data analysis and data analyst.
List roles in data analysis.
Explain data fields and types.
Define syntax.
Explain how to interpret existing data.
Describe data best practices.
Repurpose data.
Create a data dictionary.
Compare and contrast linking versus embedding charts and data.
Build pivot charts with slicers.

Page 1 of 12: 12 3 4...12

Comments

No Comments have been Posted.

Post Comment

Please Login to Post a Comment.

Ratings

Rating is available to Members only.

Please login or register to vote.

No Ratings have been Posted.

Render time: 0.85 seconds

10,822,689 unique visits