This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks with the best tools and resources.
Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary.
By the end of this course, you will:
- Gain an understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job.
- Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox.
- Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process.
- Evaluate the role of analytics in the data ecosystem.
- Conduct an analytical thinking self-assessment.
- Explore job opportunities available to you upon program completion, and learn about best practices in the job search.
Introducing data analytics
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. You’ll also discover more about this course and the overall program expectations.
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 explore analytical thinking and how it relates to data-driven decision-making.
Exploring the wonderful world of data
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 be introduced to applications used in the data analysis process.
Setting up a data toolbox
Spreadsheets, query languages, and data visualization tools are all a big part of a data analyst’s job. In this part of the course, you’ll learn the basic concepts involved and explore some examples of how these tools work.
Discovering data career possibilities
Businesses of all kinds value the work done by data analysts. In this part of the course, you’ll find out about these businesses and the specific jobs and tasks that analysts perform for them. You’ll also learn how your data analyst certificate will help you meet many of the requirements for a position with these businesses.
Start your review of Foundations: Data, Data, Everywhere
Maria Clarissa Fionalita
This course is a great intro to data analytics skill. It introduces tools such as spreadsheets and SQL. I find it very easy because during my day to day work I am already used to using excel, and I have learnt SQL before. However, if you are not used...
This course is a great intro to data analytics skill. It introduces tools such as spreadsheets and SQL. I find it very easy because during my day to day work I am already used to using excel, and I have learnt SQL before. However, if you are not used to working with spreadsheets and SQL, this course can be quite a hike of learning curve.
The course is very comprehensive and really encourages you to learn things on your own, like building the habit of creating your own journal and polish your analytical skills. Getting the certificate is easy but it's more important spend some time to do all the homework to gain the skills. There are some concepts that are not covered in the lectures nor reading that they expect you to learn on your own, but it won't hinder you from completing the course.
I really recommend anyone who's fascinated with data and is a curious person always willing to seek answer from data to take this course.