Review - Is Google Data Analytics Professional Certificate Really Worth it in 2024?

Hello friends, 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.

In this increasingly data driven world, there is a huge demand for data analyst 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.

Coursera Review - Is Google Data Analytics Professional Certificate Worth it?

Is Google Data Analytics Professional Certificate Really worth it?

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 it's 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 certification including a project which you need to complete at the end of this program to get the certificate.

2.1. Foundations: Data, Data, Everywhere

This is the first course of this certification. The course starts 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.

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2.2. Ask Questions to Make Data-Driven Decisions

This is the second course of this program and in this course, you will learn how to interact with data. 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.

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2.3. Prepare Data for Exploration

This is the third course of Google Data Analytics certification and in this course You will learn 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.

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2.4. Process Data from Dirty to Clean

One of the most important task for a Data Analyst in real world is to clean the data and that's what you will learn in this course of certification.

This is the fourth course and in this course 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.

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2.5. Analyze Data to Answer Questions

Once you have got the data in shape, I mean cleaned and transformed, its time for real data analysis and that's what you will learn in this course.

This is the 5th course of this certification and it will teach you the importance of organizing your data using sorting and filtering and how to perform these two actions using both spreadsheet and SQL language.

You will also touch base on 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.

free course to learn Data Analytics on Coursera

2.6. Share Data Through the Art of Visualization

Data Analysis is incomplete without data visualization because the people who will take decision they want to see the insight and there is no better way to see that then seeing visuals. While data visualization is large field, this course will teach you all the necessary tools and skills you need to visualize and present your data.

This is also the 6th course of this program and 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.

You will also learn how to create dashboard and dashboard filters using this software and effectively make presentations about your data analysis.

free course to learn Data Visualization on Coursera

2.7. Data Analysis with R Programming

This is the last theory course of this program and in this course 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.

free course to learn R programming on Coursera

2.8. Google Data Analytics Capstone

This is last course of this program which is also a project. It 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.

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

Conclusion

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.

Other Coursera Resources you may like:

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.

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Tuesday, September 3, 2024