In March of 2021, Google made a bold claim: with no relevant experience required, you will get a job in data analytics, with help from Google, by completing their Data Analytics Professional Certificate.
Just like that, after completion, you are thrust into a world of $67,900 starting salaries and hundreds of thousands of job opportunities.
This widely anticipated course will become fully available starting in April, which makes this the perfect time to begin preparing for this course.
There is no better time than right now to challenge yourself and to develop new skills. Plus, if this pandemic has taught us anything, it’s that upskilling is never a waste of time and can help guarantee you better employment options.
With 337,400 job openings in data analytics in the United States alone, this reasonably-priced, self-paced, and easily-accessible course is the perfect way to get your foot in the door without having to splurge on a bootcamp or Masters degree.
What is the Google Data Analytics Professional Certificate?
The Google Data Analytics Professional Certificate is professional training designed by Google that prepares you to become a junior data analyst, a database administrator, and many other positions.
This certificate aims to fill the gap in data analytics positions seen in all industries.
Google has created 8 courses that can be completed in less than six months with less than 10 hours put in every week.
The courses are completed through the online learning platform, Coursera.
Over the course of the Google Data Analytics Professional Certificate, you will learn the basics and fundamental skills to enter an entry-level data analyst position. This begins by learning about the practices and processes that people in these positions use in their daily work.
Following that, you will learn how to use the tools necessary for data cleaning, organizing, analyzing, and visualizing, including:
- Spreadsheets (for collecting and organizing data)
- SQL (for organizing and extracting data)
- Tableau (for visualizing data)
- R (for analyzing and wrangling data)
- Presentations (for explaining and sharing your discoveries)
Google also supports you through the whole job preparation process with a resume-building tool, mock interviews, and career networking support to help you get a job after program completion.
What is the course curriculum?
Google has developed 8 courses to help you become proficient in data analysis. The first five courses are currently available, with the last three projected to be released in April.
- Course 1: Learning the Foundations of Data Analysis
This introductory course starts at the very beginning with a gentle introduction into what the data analysis job position entails, what a data analyst does daily, the skills a data analyst needs to be successful, and a description of the first basic terms and concepts that you will need to complete the course.
- Course 2: How to Ask the Right Questions to Make a Data-Driven Decision
The second course in the program focuses on helping you learn how to ask the right questions to make a data-driven decision. This course covers the basics of effective questioning, how to apply those questioning techniques to real-world business situations, and the importance of using structured thinking and clear communication with stakeholders to achieve business objectives.
- Course 3: Data Preparation
The third course covers everything you need to know about data preparation and extraction. This course covers the use of spreadsheets and SQL to extract data, how to organize and protect data, and the basics of data ethics and privacy.
- Course 4: Data Cleaning
This course covers data cleaning using spreadsheets and SQL, and the development of data cleaning reports.
- Course 5: Data Analysis
The fifth course focuses entirely on the data analysis process using spreadsheets and SQL. In this course, you will learn how to use formulas, functions, and SQL queries to conduct an analysis.
- Course 6: Data Visualization
The sixth course in this program covers the storytelling aspect of data analysis. This course focuses on helping you understand how to bring your data to life. You will learn how to use Tableau to create dashboards and visualizations that you will then learn how to present to an audience.
Course 7: Using R Programming for Data Analysis
This course covers one of the programming languages often used in data analysis. You will learn how to use R and RStudio to clean, organize, analyze, visualize, and report data analyses.
- Course 8: Capstone Project
The final course in the program begins with teaching you the benefits of case studies and portfolios for your job search and goes over job-hunting and interview skills. In the end, you are given the option to complete a capstone project that can be used for your professional portfolio.
Who this course is and isn’t for
It’s important to make sure you check a few boxes before jumping head first into this program.
This course is for people who: are complete beginners with data analysis and have no prerequisite knowledge; have 10 hours a week to dedicate to studying; want to learn the basics of data analysis.
This course is not for people who: are already proficient in data analysis (this course is at a very beginner level, and therefore is not for those who already have experience or have taken other data analytics MOOCs).
How much does the program cost?
The Google Data Analytics Professional Certificate is accessed through Coursera, which has a $39 (USD) monthly subscription fee.
Therefore, if you take six months to complete the course, the cost will be approximately $234 (USD). Because of this monthly subscription fee, it makes sense to try to complete the course as quickly as possible to reduce the cost.
However, it’s important to bear in mind that this cost is much less than if you were to attend a bootcamp (which can be anywhere between $3,000 to $15,000) or if you were to get a Masters’s in data science.
Coursera has financial aid available for those who need it.
How to enroll For Google Data Analytics certificate course
Use the link below. Register on Coursera and enroll.
I’d love to connect with you if you will be taking the course.
Credit: Towards Data Science