Demystifying Data Science and Analysis

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