Module 1-  Introduction to data exploration

Module 2-  Data collection in our world

Module 3-  Determining what data to collect

Module 4-  Discover data formats

Module 5-  Understanding structured data

Module 6-  Know the type of data you’re working with

Module 7-  Data table components

Module 8-  Meet wide and long data

Module 9-  Ensuring data integrity

Module 10- Biassed and unbiased data

Module 11- Understanding bias in data

Module 12- Identifying good data sources

Module 13- What is “bad” data?

Module 14- Introduction to data ethics

Module 15- The importance of data ethics

Module 16- Introduction to data privacy

Module 17- Features of open data

Module 18- All about databases

Module 19- Database features

Module 20- Exploring metadata 

Module 21- Using metadata as an analyst

Module 22- Metadata management

Module 23- Working with more data sources

Module 24- Importing data from spreadsheets and databases 

Module 25- Sorting and filtering

Module 26- Setting up BigQuery, including sandbox and billing options

Module 27- How to use BigQuery

Module 28- BigQuery in action

Module 29- Feel confident in your data

Module 30- Let’s get organized

Module 31- All about file naming

Module 32- Security features in spreadsheets

Module 33- Managing your presence as a data analyst

Module 34- Why an online presence is important

Module 35- Tips for enhancing your online presence

Module 36- Networking know-how

Module 37- Benefits of mentorship