Earn a Google Professional Certification in Data Analytics with Coursera

Yash Gupta

06 April 2023

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Course Overview

With a Google Data Analytics Professional Certificate, you get a good start to your career in data analytics. You will learn how to process and analyze data, use key analysis tools, use R programming, and create visualizations. Through this 8-part course, you will gain in-demand skills that will prepare you for an entry-level job in data analytics such as junior or associate data analyst, database administrator, etc. This certification makes you eligible for jobs in 150 other companies including Google, Walmart, Best Buy, and Astreya.

The instructors are all from Google. The course structure supports the learning process and starts from the very basic level then progresses to advanced topics. You also get to interact with Google employees whose backgrounds in data analytics have served as springboards for their careers.

"This beginner-friendly course offers multiple practice-based assessments; reinforcing your understanding of crucial data analysis concepts and giving you leverage in job selections."

- Yash Gupta

Course Structure

There are 8 courses in total in this professional certification. This program includes over 180 hours of instruction and hundreds of practice-based assessments. The content is highly interactive and was created entirely by Google employees with decades of data analytics experience. It introduces learners to analysis tools and platforms and key analytical skills required for an entry-level job through videos, assessments, and hands-on labs.

The study material was optional, and the assessment could be taken thrice in 24 hours.

You can complete the certification in less than 6 months if you work less than 10 hours per week. The course provides an amazing introduction to the world of data Analytics and introduces multiple tools like Structured Query Language (SQL), Excel, R programming, Tableau etc., to learn from.

It is very beginner friendly
It is taught well, so learners take less time to learn concepts
It offers amazing outlines for further learning
You will gain a hands-on understanding of the practices and processes used by a junior or associate data analyst on a daily basis.
You will learn key analytical skills and tools (data cleaning, analysis, and visualization) (spreadsheets, SQL, R programming, Tableau)
You will understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL, and R programming
You will learn how to visualize and present data findings in dashboards, presentations, and commonly used visualization platforms

Insider Tips

To get the best out of this course, I have included some important tips that you might find useful.

Connect the Topics

Maintain a notebook, map how each course leads into the next one, and connect the dots. This will help you stay consistent with the work you do throughout the course duration.

Assessments

The assessments are made in the form of graded quizzes after each course section, and then a final assignment is given. This program includes over 180 hours of instruction and hundreds of practice-based assessments to help you simulate real-world data analytics scenarios critical for workplace success.

You get introduced to analysis tools and platforms, as well as key analytical skills required for an entry-level job, through a combination of videos, assessments, and hands-on labs.

Hands on training/ Capstone Project

You will have to build a portfolio that showcases your job readiness to potential employers by putting your skills to use with hands-on projects. To earn your Certificate, you must successfully complete the projects.

Final Take

I use the tools taught in the program - SQL, Tableau, Python and Excel – daily in my workplace. Importantly, this course helped me learn how to communicate business insights.

This is a beginner-friendly course that anyone can take without any prerequisites. Having this certification is immensely beneficial for anyone wanting to learn data analytics and make a career in it.