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Google

Foundations: Data, Data, Everywhere

Google via Coursera

Overview

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.

Syllabus

  • 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.
  • All about analytical thinking
    • 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.
  • 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.
  • Set up your toolbox
    • As you're learning, 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 more about the basic concepts involved and explore some examples of how these tools work.
  • Endless 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.

Taught by

Google Career Certificates

Reviews

4.3 rating, based on 3 Class Central reviews

4.8 rating at Coursera based on 71632 ratings

Start your review of Foundations: Data, Data, Everywhere

  • Profile image for Bonny
    Bonny
    While incredibly basic and beyond introductory, this course offers a solid foundation to the basics of data analysis.

    I felt this course intended more for high-school students than those with years of work experience, but I appreciated it more as I took other data analytics programs. The systematization of the analytics process was exceptionally helpful - probably the best takeaway of the entire certificate program.

    Some test questions weren't reflected in the course materials, but I'm told Google fixed this. Much of the course and quizzing, however, focuses on learning vocabulary and less on actual, useable skills.
  • Profile image for Maria Clarissa Fionalita
    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...
  • Very accurate & informative. I like it.
    No need for an experience knowledge. Its a beginner friendly course. I highly recommended this course.

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