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Google

Foundations: Data, Data, Everywhere

Google via Coursera

Overview

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7000+ certificate courses from Google, Microsoft, IBM, and many more.
This is the first course in the Google Data Analytics Certificate. 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 using 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, learners will: - Gain an understanding of the practices and processes employed 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 you can leverage during your job search.

Syllabus

  • Introducing data analytics and analytical thinking
    • Data helps us make decisions in both everyday life and in business. In this part of the course, you’ll learn how data analysts use a variety of tools and skills to inform those decisions. You’ll also get to know more about this course and the overall program expectations.
  • The wonderful world of data
    • In this part of the course, you'll learn about the data life cycle and data analysis process. They are both relevant to your work in this program and on the job. You’ll also be introduced to applications that help guide data through the data analysis process.
  • Set up your data analytics 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 to use them for data analysis. You’ll also understand how they work through interesting examples.
  • Become a fair and impactful data professional
    • In this part of the course, you’ll examine different types of businesses and the jobs and tasks that analysts do for them. You’ll also learn how a Google Data Analytics Certificate will help you meet many of the requirements for an analyst position with these organizations.

Taught by

Google Career Certificates

Reviews

4.5 rating, based on 4 Class Central reviews

4.8 rating at Coursera based on 101112 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.
  • Very accurate & informative. I like it.
    No need for an experience knowledge. Its a beginner friendly course. I highly recommended this course.
  • Anonymous
    informative and provided deep knowledge on how a data analyst mindset should be when dealing with data.
  • 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 use…

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