Learning Data Analytics

Name Product: Learning Data Analytics
Download Size: 321 MB
Author:   Kirill Eremenko
Sale Page: _www.udemy.com/course/datascience/


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:

Defining data analysis
Understanding the data analyst role and other roles
Identifying data, data fields, and data types
Learning syntax
Finding existing data
Cleaning data
Data best practices
Working with business data
Charting data
Building pivot tables and charts
Using Excel for data analysis