A complete, hands-on learning journey that equips you with the technical and analytical skills needed to succeed as a Data Analyst in today’s data-driven world.
What this course is about
Data Fundamentals is an entry-level course that helps you understand what data is, how it’s collected, and how it’s used in real work.
As you complete the course, you’ll also earn relevant certificates and credentials that you can add to your resume, LinkedIn profile, and Credly account to showcase your skills.
You’ll learn how to:
Tell different types of data apart
Check whether data is trustworthy and complete
Organize and prepare data so it’s ready for analysis
You’ll also get introduced to common data tools and basic methods so you can start doing simple analysis on your own or prepare for more advanced data or analytics courses later.
What you will learn
By the end of this course, you will be able to:
Understand core data concepts
Types of data
Data quality and common data problems
Big data, analytics techniques, and the typical steps in a data analytics process
Basics of data visualization
Work with real-world data
Clean and prepare raw data
Spot data issues that could affect decisions
Apply simple, practical steps to organize and structure data
Understand how data science is used
Describe how data science is applied across different industries
Identify widely used data science methodologies and the main activities in a typical data science project
Explore data careers
Recognize the roles, day-to-day work, and skills of data analysts and data scientists
Find learning paths and resources to keep building your skills
Showcase your learning
Earn relevant certificates and credentials
Add them to your resume, LinkedIn profile, and Credly account to signal your skills to employers
This course is part of the Job Roles learning path.