Google Data Analytics Professional Certificate
Google Data Analytics Professional Certificate 100% online course from google professional certification.
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.
Instructor: Google Career Certificates
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Starts Jul 29
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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
Skills you’ll gain
- Category: Job portfolioJob portfolio
- Category: Data CleansingData Cleansing
- Category: Data AnalysisData Analysis
- Category: Data Visualization (DataViz)Data Visualization (DataViz)
- Category: case studycase study
- Category: SpreadsheetSpreadsheet
- Category: MetadataMetadata
- Category: Data CollectionData Collection
- Category: Data EthicsData Ethics
- Category: SQLSQL
- Category: Data CalculationsData Calculations
- Category: Data AggregationData Aggregation
- Category: R Programming R Programming
Details to know
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Subtitles: English, Vietnamese, +1 more
Professional Certificate – 8 course series
Get professional training designed by Google and prepare for a new career in the high-growth field of data analytics, no experience required.
1.Foundations: Data, Data, Everywhere
2.Ask Questions to Make Data-Driven Decisions
3.Prepare Data for Exploration
4.Process Data from Dirty to Clean
5.Analyze Data to Answer Questions
6.Share Data Through the Art of Visualization
7.Data Analysis with R Programming
8.Google Data Analytics Capstone: Complete a Case Study
See how employees at top companies are mastering in-demand skills
Learn more about Coursera for Business
Prepare for a career in Data Analytics
- Receive professional-level training from Google
- Demonstrate your proficiency in portfolio-ready projects
- Earn an employer-recognized certificate from Google
- Qualify for in-demand job titles: Data Analyst, Junior Data Analyst, Associate Data Analyst
$92,000+median U.S. salary for Data Analytics¹
483,000+U.S. job openings in Data Analytics¹
75%of certificate graduates report positive career outcome²
Get exclusive access to career resources upon completion
- Resume reviewImprove your resume and LinkedIn with personalized feedback
- Interview prepPractice your skills with interactive tools and mock interviews
- Career supportPlan your career move with Coursera’s job search guide
Connect with 150+ U.S. hiring organizations in Google’s Employer Consortium
¹Lightcast™ US Job Postings (median salary with 0-5 years experience), Jan. 1, 2022 – Dec. 31, 2022). ²Positive career outcome (e.g., new job, promotion, or raise) within six months of completion. Based on program graduate survey, United States 2022.
Professional Certificate – 8 course series
Get professional training designed by Google and prepare for a new career in the high-growth field of data analytics, no experience required.
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.
Check out all Google Career Certificates here. Now INR 1153/month The certificate can be completed in less than 6 months of part time study.
Applied Learning Project
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.Read more
Instructor
286 Courses•7,078,752 learners
Offered by
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Get a head start on your degree
When you complete this Professional Certificate, you can earn college credit if you apply and are accepted into one of the following online degree programs.View eligible degrees
Degree credit eligible
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.
Scott H.
Learning from the U.S.
Google Data Analytics
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.
Scott H.
Learning from the U.S.
New to Data Analysis? Start here.
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