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Data Science and ML

I Took the Google Data Analytics Certification Where 2,148,697 Have Already Enrolled

Google Data Analytics
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If you’re like me and you’re already at an age where going back to university is not an option or you’re ready to transition careers but need guidance – you’ve landed on the right page. I was working full-time and had no option but to take a course that was flexible because I had to keep a roof over my head. University was completely out of the picture. I needed a course that allowed me to gain the skills and knowledge without having to compromise finances and too much time.

I stumbled across the Google’s Data Analytics Certification after I saw great reviews.

Work was a bit slow so I decided to give it a go whilst I wasn’t burnt out due to an overload at work.

 

What is Google’s Data Analytics Certification?

 
Link: Google’s Data Analytics Certification

Google’s Data Analytics professional certification allows you to understand the practices and processes used by associate data analysts.

In this certification, you will learn key analytical skills, such as data cleaning, analysis, & visualization as well as tools such as SQL, R programming and Tableau. Through these skills, you will be able to understand how to clean and organize data for analysis, and complete analysis and calculations using spreadsheets, SQL and R programming.

By the end of the course, you will learn how to visualize and present data findings in dashboards, presentations and commonly used visualization platforms.

The course is aimed at beginners and can be completed in 6 months if you commit 10 hours a week. It is a flexible schedule – so you can learn at your own pace!

 

My Opinions on the Certification

 

Before taking the certification, I had already taken a BootCamp 2 years before. When I went into the tech industry and landed my first junior data scientist job I realized that there were elements of data science that the bootcamp didn’t teach me. I would go around and around in circles trying to figure it out before I realized I had to go back and truly study before continuing my data science journey.

So that is what I did. I decided to take Google’s Data Analytics Certification and set myself to complete it in 2 months.

So the journey starts and the first thing I would like to say. The content – amazing! The process – smooth! The walkthrough – impeccable.

If you were like me and felt as if you needed a touch-up on your data analysis or data science learning or you’re new to the data world and you need guidance – this course did exactly that.

Yes, there is a lot of learning material but all of the material was imperative to the learning journey and helped in my understanding. After each section, multiple choice questions helped me understand each section rather than just a load of questions at the end of each module.

When it came to doing the end-of-section multiple choice and module tests – I was smashing it. Yes, my previous boot camp knowledge helped me here and there, but a few years out of the data science game – the content was a godsend to help me gain this certification.

So good that I have recommended it to a few family and friends who have no technical experience and have come back with great feedback saying the structure and process were beginner-friendly.

My overall opinion and feedback on the certification is that I would highly recommend it to those who are new to the tech industry due to its course structure but also for those who want to touch up on their existing knowledge to make sure they’ve really got it!

Remember, this certification is aimed at beginners which means your data science learning journey should not stop here. Continuously learning new skills and tools will help you become a successful data scientist!

 

Wrapping up

 
Everybody’s learning process is different. Some may have taken the certification and preferred another way of learning. However, if you are someone who needs guidance and likes to take baby steps – this certification is highly recommended!

The team at KDnuggets wants to see everybody win and we hope we have helped your journey!

 
 

Nisha Arya is a data scientist, freelance technical writer, and an editor and community manager for KDnuggets. She is particularly interested in providing data science career advice or tutorials and theory-based knowledge around data science. Nisha covers a wide range of topics and wishes to explore the different ways artificial intelligence can benefit the longevity of human life. A keen learner, Nisha seeks to broaden her tech knowledge and writing skills, while helping guide others.

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