- Google via Coursera
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- ★★★★★ (65,332 ratings)
- Language: English
Looking for a path to a career in the data analytics field? This specialization aims to help learners understand all about google analytics in the most effective possible manner. With the help of this specialization, you are going to develop an immersive understanding of the practices and processes used by a junior or an associate data analyst. Similarly, you will also learn all the key analytical skills and tools that include understanding spreadsheets, SQL, visualization, and more. So, take this specialization today and start learning from the comfort of your home. Check out the best business analytics courses by clicking here.
Google Data Analytics Professional Certificate:
There are 8 courses in this specialization, the details of which are given below.
Foundations, data, data everywhere (★★★★★ 4.8 | 48,102 ratings | 9,713 reviews)
The first courses in the specialization will equip you with all the skills you need to apply for introductory-level data analyst jobs.
Ask Questions to make data-driven Decisions (★★★★★ 4.7 | 14,718 ratings | 2,198 reviews)
Here you will be learning everything about effective questioning techniques. With that, you will gain an understanding of what data-driven decision-making is and how data analysts present findings.
Prepare data for Exploration (★★★★★ 4.8 | 8,726 ratings | 1,274 reviews)
This is the third course in the specialization that will help you find out how analysts decide which data has to be collected for analysis. You will be learning about structured and unstructured data, data types, and data formats.
Process data from dirty to Clean (★★★★★ 4.8 | 6,347 ratings | 1,079 reviews)
A course that will help you understand the right way to check for data integrity. You will discover all the data cleaning techniques using spreadsheets. With that, you will learn to develop basic SQL queries for use on databases and more.
Analyze data to answer Questions (★★★★★ 4.6 | 4,717 ratings | 872 reviews)
Now in this fifth course, you will learn to organize data for analysis. Then, you will discover the different processes that are required for formatting and adjusting data. Similarly, you will also gain a good understanding of how to aggregate data in spreadsheets and by using SQL.
Share data through the art of Visualization (★★★★★ 4.6 | 3,875 ratings | 714 reviews)
In this course, you will be taught how to form a compelling narrative through data stories. The instructor will help you gain a complete understanding of how to use Tableau for creating dashboards and dashboard filters.
Data Analysis with R Programming (★★★★★ 4.8 | 4,077 ratings | 830 reviews)
Here you will be examining the benefits of using the R programming language in a detailed manner. The instructor will help you understand how RStudio can be used to apply R to your analysis.
Google Data Analytics Capstone: Complete a Case Study (★★★★★ 4.8 | 4,942 ratings | 728 reviews)
Here you will understand and learn the benefits and uses of case studies and portfolios in the job search. You will be exploring real-world job interview scenarios and common interview questions.
Now we are going to talk about the feedback which users have given about the courses of this specialization.
I took the first course from the specialization and found it helpful. It is an introductory level course and that is why it was not that difficult rather easy to digest. The lecture videos were awesome and the assignments were quite challenging yet fun to solve (Danielle L, ★★★★★).
I believe the first course that is in the specialization has very clear, concise, thorough yet challenging information. It took me some time to get a grip of the concepts taught but it was worth the effort (Mandy H, ★★★★★).
Just finished the second course from the specialization and I am really impressed with its content. The instructions are clear and concise and the course gives practical insight on how one can communicate effectively in an analyst role (Christopher S, ★★★★★).
The third course in the specialization is the one I took as it had content that I needed to understand. I think this course was a good refresher on basic functions in google sheets. With that, it also gives you a great introduction to SQL. Indeed it was worth taking the course (Matthew B, ★★★★★).
I have taken the fourth course and would say that this instructor was the best. She was so clear in explaining all the concepts. The way she explained all the concepts was very engaging. Now after completing this course, I believe my search to find a better job would end soon (Senaka S, ★★★★★).
The “Analyze data to answer questions” course was very interesting as it gave me a good understanding of more complex SQL queries and data processing. The course has taught me new tools that have helped me perform well (Nicholas L, ★★★★★).
Taking the sixth course from the specialization was very challenging yet engaging at the same time. I knew learning Tableau was not an easy task but still, I wanted to learn what it is and this course helped me achieve that. I can say with the help of this course, I got the confidence to take my plunge into PowerPoint. So, a big thanks to the instructor for this thorough course (Tom G, ★★★★★).
The “Share data through the art of visualization” course was very informational but also very challenging for someone who has to work two jobs. The course was so interesting that I had to make time to complete it. And I can say that this course was so far the best online course that I have completed (Rosana FSDS, ★★★★★).
Taking the fourth course from the specialization didn’t turn out to be what I was hoping for. The lecture videos were good but I was expecting more SQL coding assignments and projects from the course (Pouya T, ★★★☆☆).
I took the first course and believe it was lengthy for no reason. The instructor could have condensed all the content into 2-3 weeks but he didn’t and that is why the course felt quite basic and unreasonable (Sandy L, ★★☆☆☆).
The third course in the specialization was good but the accent of the instructor was very difficult to understand which made me lose interest in completing the course (Shreya N, ★★☆☆☆).
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- 10 months of effort required
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- 8 months of effort required
- 101,089 already enrolled!
- ★★★★★ (8,691 Ratings)
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