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.

Recently updated✦New AI skills

Try for free: Enroll to start your 2-day full access free trial

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Earn a credential from this top 1% learning program

3,910,483
Enrolled learners
4.8★
from 182,912 reviews of courses in this program
Beginner level
Recommended experience

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, Python, Tableau)

Understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and Python

Learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms

Skills you'll gain

Interviewing SkillsObject Oriented Programming (OOP)File ManagementData ProcessingSampling (Statistics)Data AnalysisData CleansingData StorytellingData StructuresData Visualization

Tools you'll learn

R (Software)Tableau SoftwareGgplot2Spreadsheet SoftwareRmarkdown

Details to know

9 course series

Earn a career credential that demonstrates your expertise

Shareable certificate

Add to your LinkedIn profile

Taught in English

5 languages available

Flexible schedule

6 months at 10 hours a week

Learn at your own pace

Prepare for a career as a Data Analyst

  • •Receive professional-level training from Google
  • •Demonstrate your technical proficiency
  • •Earn an employer-recognized certificate from Google
₹302,320
median entry-level salary1
61,457
job openings in India1
Career Professional

Professional Certificate - 9 course series

New AI skills

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 1923/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 Python

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.

What you'll learn

Define and explain key concepts involved in data analytics including data, data analysis, and data ecosystems.

Conduct an analytical thinking self assessment giving specific examples of the application of analytical thinking.

Discuss the role of spreadsheets, query languages, and data visualization tools in data analytics.

Describe the role of a data analyst with specific reference to jobs.

Skills you'll gain
AnalyticsAnalysisTableau SoftwareAnalytical SkillsData Visualization SoftwareData SharingData-Driven Decision-MakingData EthicsData VisualizationData ProcessingSQLData AnalysisSpreadsheet SoftwareData Cleansing

Earn a career certificate

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

View eligible degrees

Instructor

Google Career Certificates

Google

398 Courses · 18,737,214 learners

Offered by

Google

Why people choose AIprep for their career

Scott H.
“

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.

Learner reviews across Google Data Analytics

★4.8

avg. across 9 courses

5 stars
82.46%
4 stars
13.95%
3 stars
2.31%
2 stars
0.63%
1 star
0.62%
K
KS

Course: Foundations: Data, Data, Everywhere

★★★★★
5.0·Reviewed on Jan 10, 2024

Even though it was just an introduction and basics, I learned a lot about data analysis. Glad to be here with this course and the tutors. This course is very interesting and quite easy to understand.

I
ID

Course: Ask Questions to Make Data-Driven Decisions

★★★★★
5.0·Reviewed on Jun 23, 2022

it's excellent also the mentor explains what data-driven decision-making is easily anyone can understand this course. I learn many new things about how to behave in meeting what is a stakeholder

K
KG

Course: Prepare Data for Exploration

★★★★★
5.0·Reviewed on Mar 31, 2024

What an amazing course for data analyst. This course not only offer technical skills but also soft skills we should have as data analyst. I would like to thank Googlers and AIprep for this course.

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