What Will You Learn?
Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystem
Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking
Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics
Describe the role of a data analyst with specific reference to jobs/positions
About This Course
Provider: Coursera
Format: Online
Duration: 22 hours to complete [Approx]
Target Audience: Beginners
Learning Objectives: After completing this free course, you'll be equipped to apply for introductory-level jobs as data analysts.
Course Prerequisites: NA
Assessment and Certification: NA
Instructor: Google
Key Topics: Data Analysis, SQL, Data Visualization (DataViz), Data Cleansing, Spreadsheet
Topic Covered:
- - Introduction to the course
- - Data analytics in everyday life
- - Cassie: Dimensions of data analytics
- - What is the data ecosystem?
- - How data informs better decisions
- - Discovering data skill sets
- - Key data analyst skills
- - All about thinking analytically
- - Exploring core analytical skills
- - Using data to drive successful outcomes
- - Real-world data magic
- - Learning about data phases and tools
- - Stages of the data life cycle
- - Six phases of data analysis
- - Molly: Example of the data process
- - Exploring data analyst tools•
- - The ins and outs of core data tools
- - Columns and rows and cells, oh my!
- - SQL in action
- - Everyday struggles when learning new skills
- - Becoming a data viz whiz
- - The power of a visualization
- - The job of a data analyst
- - Path to becoming a data analyst
- - Supporting careers in data analytics
- - The power of data in business
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