Brief Introduction
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.Description
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.Âą
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
Check out all Google Career Certificates here.
ÂąBurning Glass: Labor Insight (Last 12 Months: Feb. 1, 2020 - Jan. 31, 2021)
²Coursera Learner Outcome Survey, all time for Google IT Support Certificate. Data is collected via on-platform surveys or email and is cumulative from Jan 2018 - Jan 2021.
Summary of User Reviews
Read reviews of the Google Data Analytics Professional Certificate course on Coursera. Students gave mixed feedback, but overall found the course helpful for learning data analysis. Many appreciated the real-world examples and practical assignments that helped them apply the concepts learned. However, some users felt that the course lacked depth and did not cover advanced topics. Here are the most commonly mentioned pros and cons:Key Aspect Users Liked About This Course
Real-world examples and practical assignmentsPros from User Reviews
- Practical assignments help reinforce concepts
- Real-world examples make learning more interesting
- Good introduction to data analysis for beginners
- Flexible schedule allows for self-paced learning
- Instructors are knowledgeable and helpful
Cons from User Reviews
- Lacks depth and does not cover advanced topics
- Some lessons are repetitive and could be condensed
- Course material can be outdated
- Not suitable for experienced data analysts
- Some users experienced technical difficulties
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