Duration of the online course: 17 hours and 48 minutes
4.7
(40)
Data is everywhere, but turning it into clear answers is a skill. This free online course is built for beginners who want to understand how data analytics works in real projects and how it supports better decisions in business and technology. You will learn to think like an analyst: define a problem, ask the right questions, choose the right data, and translate results into insights that other people can act on.
Throughout the learning journey, you will build a practical foundation in the tools and habits used in entry-level analytics roles. You will work with spreadsheets for fast exploration and organization, understand why databases matter, and get introduced to query languages like SQL for working with larger datasets. Just as important, you will strengthen core analytical skills such as critical thinking, curiosity, structured problem solving, and attention to detail—skills that help you avoid assumptions and create more reliable conclusions.
The course also focuses on data credibility and integrity, helping you recognize common causes of poor-quality data and how to prevent them. You will learn how analysts verify information, reduce bias, and apply consistent organization practices so data remains trustworthy over time. These concepts are essential whether you are analyzing sales performance, operations metrics, customer behavior, or any other scenario where accuracy impacts decisions.
Being effective in analytics is not only about numbers; it is also about communication. You will practice thinking about stakeholders, explaining findings clearly, and presenting results in a way that supports action rather than confusion. You will also explore what it means to build an online presence for analytics roles and understand realistic steps to begin a job search, especially if you are transitioning from another field.
If you are starting from zero, refreshing your fundamentals, or considering a move into Technology and Programming with a focus on Developer and IT Tools, this course will give you a confident, structured entry point into data analytics—and a clearer view of how to keep learning toward real-world opportunities.
Video class: Data Analytics for Beginners | Google Data Analytics Certificate
18m
Exercise: _Who said "I can't make bricks without clay"?
Video class: 5 Skills Data Analysts Need | Google Data Analytics Certificate
26m
Exercise: Which of the following is NOT one of the five essential analytical skills necessary for data analysis?
Video class: Intro to Spreadsheets, Databases, and Query Languages | Google Data Analytics Certificate
20m
Exercise: What is the first step in the data analysis process?
Video class: Spreadsheets and SQL for Beginners | Google Data Analytics Certificate
21m
Exercise: Which tool is described as 'supersized spreadsheets' for managing large data sets?
Video class: The Power of Data in Business | Google Data Analytics Certificate
20m
Exercise: _What is the benefit of using data analytics for small businesses?
Video class: Coca-Cola: Real-World Data Analytics Example | Google Data Analytics Certificate
04m
Exercise: Which industry uses data analytics to predict staffing needs based on weather patterns?
Video class: Problem Solving with Data Analytics | Google Data Analytics Certificate
23m
Exercise: What is the first step in the data analysis process according to the video transcript?
Video class: Making Data-driven Decisions in Business | Google Data Analytics Certificate
24m
Exercise: What is the role of data in decision-making according to the speaker?
Video class: Data Analysis Using Spreadsheets | Google Data Analytics Certificate
34m
Exercise: _What is the main advantage of using spreadsheets for data analysis?
Video class: Communication Do's and Don't for Data Analysts | Google Data Analytics Certificate
42m
Exercise: As a data analyst, why is it critical to communicate effectively with stakeholders?
Video class: Understanding Data Types and Structures | Google Data Analytics Certificate
29m
Exercise: _What is the importance of understanding different types of data and data structures in the data analysis process?
Video class: Ensuring Credibility in Your Data | Google Data Analytics Certificate
28m
Exercise: What is the main reason for ensuring data is unbiased in data analysis?
Video class: Databases and Metadata for Beginners | Google Data Analytics Certificate
35m
Exercise: _What is a primary key in a relational database?
Video class: Organizing and Protecting Data | Google Data Analytics Certificate
10m
Exercise: What is the primary purpose of using file naming conventions?
Video class: Create Your Data Analyst Online Presence | Google Data Analytics Certificate
14m
Exercise: _Which website is specifically designed to help people make connections with other people in their field and has job boards that you can search?
Video class: How to Report Your Clean Data | Google Data Analytics Certificate
28m
Exercise: What is the first step in the data verification process?
Video class: Getting Hired as a Data Analyst | Google Data Analytics Certificate
30m
Exercise: _What is the most common way to start a job search?
Video class: Ways to Ensure Data Integrity | Google Data Analytics Certificate
33m
Exercise: What is the importance of data integrity in data analysis?
Video class: How to Clean Raw Data in SQL | Google Data Analytics Certificate
42m
Exercise: _What is SQL?
Video class: Understanding Clean Data | Google Data Analytics Certificate
1h06m
Exercise: What is the most common cause of poor quality data?
17 hours and 48 minutes of online video course
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Course comments: Data analytics for beginners
Yousif Ibrahim Abubaker Abdalla
incredible opportunity to learnt this course. I loved it very much and I appreciate your support.
A D
I hope you add the reading materials so I can listen and read simultaneously.
Nelisiwe Nobuhle
very interesting course.