Embark on a transformative journey in the burgeoning field of data analytics with Google's "Analitik Data" course. This program equips you with the essential skills and knowledge to kickstart a successful career in data analysis, regardless of your prior experience or qualifications.
Throughout the 8 modules, you will dive deep into the fundamentals of data analytics, learning crucial analytical skills and tools such as spreadsheet applications, SQL, R programming, and Tableau visualization. The course empowers you to understand and manipulate data, make informed decisions, and present findings effectively.
Upon completion, you will be prepared for various roles such as junior data analyst, database administrator, and more. Notably, 82% of Google Career Certificate graduates reported positive outcomes within 6 months, including new job opportunities, promotions, and salary increases.
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Embark on a comprehensive journey through 8 modules to gain essential skills for a career in data analytics. Learn from Google professionals and prepare for diverse roles in the industry.
Module 1: Gain a foundational understanding of data analytics, including the concept of data, data analysis, and the data ecosystem. Delve into analytical thinking and the role of a data analyst in various positions.
Module 2: Learn to pose questions to make data-driven decisions and explore the use of spreadsheets for basic data analysis tasks, including data input and organization.
Module 3: Prepare data for exploration by considering factors in data collection, understanding database components, and best practices for data organization.
Module 4: Process data from raw to clean by determining data integrity, applying SQL functions for data cleaning, and verifying the results of data cleansing.
Module 5: Explore data analysis by understanding data preparation, sorting, filtering, data conversion, and basic calculations using spreadsheet applications and SQL queries.
Module 6: Discover the art of sharing data through visualization, identifying the usage of Tableau for data visualization, and principles of effective presentation.
Module 7: Dive into data analysis with R programming, understanding the basics of R programming, data visualization, and basic formatting using R Markdown.
Module 8: Conclude with a final project, distinguishing between a case study and portfolio, applying data analysis practices to an existing dataset, and utilizing case studies/portfolios for communication with potential employers.
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