Course description
Google Data Analytics Professional Certificate
Prepare for a new career in the high-growth field of data analytics, no experience or degree required. Get professional training designed by Google and have the opportunity to connect with top employers. There are 483,000 open jobs in data analytics with a median entry-level salary of $92,000.¹
Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making.
Over 8 courses, gain in-demand skills that prepare you for an entry-level job. You’ll learn from Google employees whose foundations in data analytics served as launchpads for their own careers. At under 10 hours per week, you can complete the certificate in less than 6 months.
Upon completion, you can directly apply for jobs with Google and over 150 U.S. employers, including Deloitte, Target, Verizon, and of course, Google.
75% of Google Career Certificate Graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise) within 6 months of certificate completion²
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Upcoming start dates
Suitability - Who should attend?
No prior experience required.
Outcome / Qualification etc.
What you will learn
- Gain an immersive understanding of the practices and processes used by a junior or associate data analyst in their day-to-day job
- Learn key analytical skills (data cleaning, analysis, & visualization) and tools (spreadsheets, SQL, R programming, Tableau)
- Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming
- Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms
Skills you will gain
- Spreadsheet
- Data Cleansing
- Data Analysis
- Data Visualization (DataViz)
- SQL
- Questioning
- Decision-Making
- Problem Solving
- Metadata
- Data Collection
- Data Ethics
- Sample Size Determination
Training Course Content
- Foundations: Data, Data, Everywhere
- Ask Questions to Make Data-Driven Decisions
- Prepare Data for Exploration
- Process Data from Dirty to Clean
- Analyze Data to Answer Questions
- Share Data Through the Art of Visualization
- Data Analysis with R Programming
- Google Data Analytics Capstone: Complete a Case Study
Course delivery details
This course is offered through Google, a partner institute of Coursera.
Under 10 hours of study a week
Expenses
Please visit the Institute website for more information about tuition fees