Review — Is Google Data Analytics Professional Certificate worth it?
My review of Google’s popular Data Analytics Professional certificate on Coursera, find out whether its really worth it or not?
Hello guys, if you want to become a Data Analyst in 2024 and looking for best online courses, guides, and tutorials to learn Data Analysis then you have come to the right place.
In the past, I have shared best Data Analysis courses, Books, and 2024 Data Analyst RoadMap, and in this article, I will share one of the most popular Coursera course to learn Data Analytic, Google Data Analytics Professional Certificate.
With more than 800,000 enrollments on Coursera this is one of the most popular Data Analytics course on Coursera and why not? Its created from Google itself. It’s also well structured, up-to-date and you will learn all essential Data Analytics skills from Google experts.
There is a huge demand for the position of the data analytics people in this modern world because companies are collecting more data about their customer’s behavior on their website or maybe the review of their customers on the company products and much more.
They need a data analyst expert to extract insight and make them choose a better decision to improve their presence, products, and user experience. As per one US report, 75% of Google Career Certificate Graduates in the United States report an improvement in their career trajectory (e.g. new job or career, promotion or raise) within 6 months of certificate completion
Many people are looking to have these skills. Still, the problem is not having these skills but having the right course among thousands of available online courses created by amateurs.
I have found almost the best one offered by Google, Google Data Analytics Professional Certificate, through the Coursera platform.
Review — Is Google’s Data Analytics Certificate on Coursera worth it in 2024?
So far we have seen that how Google’s Data Analytics Professional certificate can help you to launch your career in the field of Data Analytics. Now its the time to review the course in depth.
As always, we will review the certificate into three major parameters, instructor quality, course structure and content quality, and people’s review, I mean what other people are saying about this course.
1. The Instructors Review
This long specialization is created by the google career certificate, which is a part of growth with google. It is an initiative that aims to help people get digital skills like Google ads or data science or data analytics and created by experts in the field to be comfortable learning data analytics from the industry experts.
2. Course Structure and Content Quality
Now, let’s deep dive into this certificate course structure and topics covered. Since this is a professional certificate it contains multiple courses to teach you all the related skills you need to succeed as Data Analyst.
This is an in-depth certification and there are 8 courses on this including a project which you need to complete at the end of this program to get the certificate.
2.1. Foundations: Data, Data, Everywhere
Starting with an introduction to data analytics and learning how data analysts use this science and different tools to decide. Next, you will learn about data analytics thinking and the roles and key skills used by analytics.
Finally, it introduces you to the application used in the data analysis process and the task that analysts perform in the company.
Here is the link to join this course — Foundations: Data, Data, Everywhere
2.2. Ask Questions to Make Data-Driven Decisions
The data analysts need to ask questions before they start analyzing the data and answer these questions to learn how to ask effective questioning techniques to help you guide your analysis.
Next, you will see how data empower decision and share your data through reports and dashboard. Finally, explore how to use the spreadsheet and effectively communicate with your team.
Here is the link to join this course — Ask Questions to Make Data-Driven Decisions
2.3. Prepare Data for Exploration
You will in this section how companies generate and how data analysts collect data that will be used for analytics and understand the differences between structured and unstructured data and prepare your data for exploration.
You will also understand how to identify different biases in data. Next, you will understand how databases work and extract and filter the data you will use in the analysis.
Here is the link to join this course — Prepare Data for Exploration
2.4. Process Data from Dirty to Clean
You will see how data is generated and how analysts use it to decide which data to collect for analysis purposes and learn how to clean it before moving to the next step, analysis.
You will also learn to use the SQL language to clean the data and get ready for the analysis and the process of verifying and reporting data cleaning.
Here is the link to join this course — Process Data from Dirty to Clean
2.5. Analyze Data to Answer Questions
You will understand the importance of organizing your data using sorting and filtering and how to perform these two actions using both spreadsheet and SQL language.
Also, see how you format and convert your data and how SQL can combine your data from different database tables and different cells in the spreadsheet. Finally, you will perform calculations on your data using the spreadsheet.
Here is the link to join this course — Analyze Data to Answer Questions
2.6. Share Data Through the Art of Visualization
You will learn data visualization and key concepts, design thinking, and more. Next, you will explore the tableau software and how to create data visualization, and the importance of creativity while visualizing your data.
Also, see how to create dashboard and dashboard filters using this software and effectively make presentations about your data analysis.
Here is the link to join this course — Share Data Through the Art of Visualization
2.7. Data Analysis with R Programming
You will explore the R programming language and how it is used in the data analysis and the component of RStudion IDE that will help you during your work.
Then you will start exploring the R language and use its variable, performing calculations, use their packages, and use the R language with data by cleaning, organizing, and transforming your data. Finally, use this language to create a visualization and import them.
Here is the link to join this project — Data Analysis with R Programming
2.8. Google Data Analytics Capstone
This last course is a capstone project where you will show your capability to the employee and complete an optional case study. You will have to apply what you have learned in a given dataset and identify the case study’s key features and attributes, and get your certificate when you complete this course.
Here is the link to join this project — Google Data Analytics Capstone
3. People’s Review
So far, we have looked at the course instructor and content, now is the time to see what other people are saying about this Data Analytics program on Coursera. First let’s look at the numbers and social proof, more than 828,416 people have already enrolled into this program which is huge and it has got on average 4.8 rating from close to 58,0000 participants, a phenomenal success.
The best thing about this course is that its very comprehensive but still very practical and engaging and leave no effort left on teaching you all the skill you need to become a successful data analyst.
Another great thing about this course is the US report which suggest that 75% of Google Career Certificate Graduates (people who have attended Google certification on Coursera) in the United States report an improvement in their career trajectory (like new job or career, promotion or raise) within 6 months of certificate completion.
In short, a great program to join, in fact the best Coursera course to learn Data Analytics and become a Data Analyst in 2024.
Here is the link to join this certification — Google Data Analytics Professional Certificate
That’s all about review of Coursera’s most popular, Google Data Analytics Professional Certificate in 2024. Considering the course structure and an opportunity to learn from expert Data Analysts from Google, I think this course is definitely worth it.
Data analysis is a huge science, and completing one of the courses doesn’t mean you are a data analyst. You have to learn many other languages like Python and explore more in R language and data visualization with fixing many case studies to work in this position.
By the way, If you are planning to join multiple Coursera courses or specializations, then consider taking a Coursera Plus subscription which provides you unlimited access to their most popular courses, specialization, professional certificate, and guided projects.
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Thanks for reading this article so far. If you like this review of Google’s popular Data Analytics Professional certification on Coursera please share them with your friends and colleagues. If you have any questions or feedback then, please drop a note.
P. S. — If you prefer to learn from Udemy courses then you can also check out this Data Analysis with Pandas and Python course on Udemy. This is one of the best courses to learn Data Analysis on Udemy, and you can get it for just $10 on Udemy sales, which happens every now and then.
