Foundations: Data, Data, Everywhere
About this course
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.
81/100
CourseAsk score
- What the provider tells you
- 45/45
- Who stands behind it
- 20/35
- How complete the listing is
- 16/20
Scores how much the provider publishes and who stands behind it — not how well it is taught.
What you'll learn
- Understand the daily practices and processes used by junior and associate data analysts
- Learn key analytical skills including data cleaning, data analysis, and data visualization
- Use tools such as spreadsheets, SQL, R programming, and Tableau for data analytics tasks
- Understand fundamental concepts like the data life cycle and the data analysis process
- Evaluate how analytics fits within the broader data ecosystem
- Identify job opportunities and best practices for searching for data analyst roles
Course objectives
- Provide an overview of the data analytics field and the Google Data Analytics Certificate program
- Introduce learners to the role and responsibilities of junior data analysts
- Build foundational knowledge of data analytics terminology and concepts
- Develop analytical thinking skills through self-assessment
- Prepare learners to pursue introductory-level data analyst positions
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