Do you want to learn more about data analysis and data science, but find the terms and phrases used confusing? If so you are not alone.
This course will help Demystify Data Science & Data Analysis by defining and explaining the most commonly used and most commonly confused Data Terms and Phrases.
Data is a hot topic right now, and data jobs and responsibilities are increasing. Do you know the difference? Data Lake, Data Warehouse, Data Mart or Data Vault? Data Scientist, Data Analyst, or Data Engineer? Data Fishing, Data Farming, or Data Mining? Dirty, Dark, or Corrupt Data?
If you want to Understand the Jargon, Speak the Language, and Know the Commonly Used terms & Phrases, this course is for you.
Data Job Titles & Skills
Differentiate between similar titles
Know their responsibilities
Understand the skills needed to be proficient
Storing & Packaging Data
Differentiate between Data Warehouse & Data Lake
Know which data stores work best
Learn the common issues associated with storing data
Collecting & Growing Data
Differentiate between Farming & Mining
Learn different ways to grow your data and why
Understand why it is important to grow as well as collect data
Cleaning & Fixing Data
3 steps to cleaning & fixing your data
Know the common tasks used for cleaning data
Data Protection
Differentiate between Governance, Compliance, & Security
Responsibilities for data security and compliance
Introduction to data dishonesty and mis uses
Data Analysis
Business Intelligence planning tools
Frameworks for conducting Data Analysis
How to analyze data for patterns and trends