Data Analytics Module 1
About The Course
In this course, students will be introduced to Data Analytics course.
Introduction to Data Analytics
Learning Outcomes: Data helps us make decisions in everyday life and in business. In this first part of the course, you’ll learn how data analysts use data analytics and the tools of their trade to inform those decisions.
- Program Description and course syllabus
- Introduction to the course
- Helpful resources to get started
- What is Data Ecosystem
- How Data Informs better decisions
The Data Analysis Process
Learning Outcomes: Data has its own life cycle, and the work of data analysts often intersects with that cycle. In this part of the course, you’ll learn how the data life cycle and data analysts’ work both relate to your progress through this program. You’ll also explore analytical thinking and how it relates to data-driven decision-making.
- Key Data Analyst skills
- Stages of Data life cycle
- Phases of Data Analysis
The Data Analysis Tool Box
Learning Outcomes: Data analysts balance many different roles in their work. In this part of the course, you’ll learn about some of these roles and the key skills used by analysts. You’ll also be introduced to applications used in the data analysis process. You will also explore why structured thinking helps analysts better understand problems and come up with solutions.
- The Data Analysis Tool box
- Structured thinking
- Problem solving and Effective questioning: SMART questions
- Data analyst job opportunities
Mastering Spreadsheet
Learning Outcomes: Spreadsheets are a very important data analytics tool. In this part of the course, you will learn about how data analysts use spreadsheets in their work every day.
- Working with spreadsheet: Columns, rows, and cells, attributes & observation
- Formulas in spreadsheet
- Functions in spreadsheet
