Foundations: Data, Data, Everywhere

This course is part of Google Data Analytics Professional Certificate

Instructor: Google Career Certificates

What you'll learn

  •   Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.
  •   Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.
  •   Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.
  •   Describe the role of a data analyst with specific reference to jobs.
  • Skills you'll gain

  •   Data Processing
  •   SQL
  •   Data Analysis
  •   Analytical Skills
  •   Data Sharing
  •   Data Ethics
  •   Spreadsheet Software
  •   Data-Driven Decision-Making
  •   Google Sheets
  •   Data Visualization Software
  •   Data Cleansing
  •   Data Management
  • There are 4 modules in this course

    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.

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