Data analysts have become the “entry-level” position for many trying to break into the data industry. With domain expertise and some statistics underpinnings, many can start building a lucrative data career. A nice breakdown of the differences between data analyst and data science is available here.
If you’re like me, entry-level positions aren’t of interest: I don’t wanna start over professionally, I know my worth so accepting a pay cut is a non-negotiable and I want to leverage new data skills to increase my income. Real talk.
Marrying new data skills to business objectives, goals, and/or outcomes is the best bet.
Why Analytics?
This Data Literacy Project free introductory course is designed to help the users understand what analytics is and why it is important. The course also touches upon how Qlik is here to help users develop their analytical skills.
- Understand what analytics is
- Why it is important in the world today
- Understand how it is applied in real-world situations
- Introduction into how Qlik is here to help in the analytical journey
Understanding Data
This Data Literacy Project free course is designed to help users gain an understanding of Data, learn about different types and attributes of data, and help them understand why this information is important in the world today.
• Gain an understanding of data
• Learn about the different types and attributes of data
• Understand why learning about data is important in the world of analytics today
