Embark on a rewarding journey into the field of data analytics with Google Data Analytics. This comprehensive program equips you with the essential skills required for a junior data analyst or database administrator role, even without prior experience or a degree.
Throughout the 8-course program, you will immerse yourself in the practices and processes used by junior data analysts, mastering key analytical skills and tools such as data cleaning, analysis, visualization, spreadsheets, SQL, programming in R, and Tableau. You will learn how to organize, analyze, and calculate data using spreadsheets, SQL, and R programming, as well as present analysis results through dashboards, presentations, and visualization platforms.
Upon completion, you will be prepared for positions as a data analyst or junior database administrator, with the potential to secure a new job, promotion, or salary increase within six months of earning your certificate.
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Gain comprehensive knowledge and practical skills as you progress through 8 modules covering foundational concepts, data preparation, cleaning, analysis, visualization, programming in R, and a Capstone project.
Build a strong foundation in data analytics, including understanding data concepts, ecosystem, and the role of a data analyst.
Learn how to frame data-driven questions, use spreadsheets for data tasks, and comprehend structured thinking for decision-making.
Prepare and explore data, considering factors in decision-making, database functions, and best practices for data organization.
Understand data integrity, apply basic SQL functions for data cleaning, and verify the results of data cleaning processes.
Explore data analysis techniques, including organizing data, converting and formatting data, and using SQL queries for data combination.
Discover the art of data visualization, including tools like Tableau, and learn effective presentation principles for data storytelling.
Delve into programming in R, understanding its language and environment, formatting in R Markdown, and generating visualizations.
Conclude the program with a Capstone project, applying data analysis processes to a specified dataset and understanding the use of case studies/portfolios in professional interactions.
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