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This is your path to a career in data analytics. In this program, you’ll learn in-demand skills that will have you job-ready in less than 6 months. No degree or experience required.
|👨💼 Sponsor: Google|
|📚 Field: Data Analysis|
|🌐 Host: Coursera|
|🎓 Mode: Online|
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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
About this 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 337,400 U.S. job openings in data analytics with a $67,900 average entry-level salary.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.
You’ll prepare yourself for jobs that include junior or associate data analyst, database administrator, and more. Upon completion of the certificate, you can directly apply for jobs with Google and over 130 U.S. employers, including Walmart, Best Buy, Astreya.
82% of Google Career Certificate graduates report a positive career outcome like a new job, promotion, or raise within 6 months.²
Note: See other free online courses here.
Originally posted 2021-05-03 13:54:12.
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