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Google Data Analytics Professional Certificate Get on the fast track to a career in Data Analytics. In this certificate program, you'll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required. Earn a career credential that demonstrates your expertise 4.8 (155,257 reviews) Recommended experience 6 months, 10 hours a week Learn at your own pace Earn a Certificate With paid plans What you'll 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 See how employees at top companies are mastering in-demand skills Professional Certificate - 8 course series 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 over 251,000 open jobs in data analytics with a median entry-level salary of $95,000 in the U.S.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 certificate graduates report a positive career outcome (e.g., new job, promotion, or raise) within six months of completion² ²Based on program graduate survey, United States 2022 This program includes over 180 hours of instruction and hundreds of practice-based assessments, which will help you simulate real-world data analytics scenarios that are critical for success in the workplace. The content is highly interactive and exclusively developed by Google employees with decades of experience in data analytics. Through a mix of videos, assessments, and hands-on labs, you'll get introduced to analysis tools and platforms and key analytical skills required for an entry-level job. Skills you'll gain will include: Data cleaning, problem solving, critical thinking, data ethics, and data visualization Platforms and tools you will learn include: Presentations, Spreadsheets, SQL, Tableau and R Programming In addition to expert training and hands-on projects, you'll complete a case study that you can share with potential employers to showcase your new skill set. Learn concrete skills that top employers are hiring for right now. Add this credential to your LinkedIn profile, resume, or CV. Share it on social media and in your performance review. Build toward a degree When you complete this Professional Certificate, you may be able to have your learning recognized for credit if you are admitted and enroll in one of the following online degree programs.¹ This Professional Certificate has ACE recommendation. It is eligible for college credit at participating U.S. colleges and universities. Note: The decision to accept specific credit recommendations is up to each institution. Why people choose Coursera for their career It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics. Learning from the U.S. It is a beautifully crafted on-ramp to the world of data analytics. Using the tools I learned in the certificate, I created a portfolio of work samples that showcased my ability as an analyst, and I successfully transitioned out of education and secured a full-time position in data analytics. Learning from the U.S. Get access to all these courses and more with a subscription Unlock access to 10,000+ courses with a subscription Explore roles and skills, learn more effectively with Coursera Coach, and earn recognized credentials Advance your career with an online degree Earn a degree from world-class universities - 100% online Join over 3,400 global companies that choose Coursera for Business Upskill your employees to excel in the digital economy What kind of companies hire Data Analytics professionals? ¹ Median salary and job opening data are sourced from Lightcast Job Postings ntent Creator, Machine Learning Engineer and Salesforce Development Representative (1/1/2024 - 12/31/2024)All other job roles (5/1/2024 - 5/1/2025)² Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022. #J-18808-Ljbffr

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