Google Data Analytics Professional Certificate Reviews In (2022)

This is the first step on your route to a career in data analytics. In this program, you will study in-demand skills that will prepare you for a job in less than 6 months. There is no requirement for a degree or professional experience.

What you will learn in this program:

  • Acquire a thorough understanding of the methods and procedures that a junior or associate data analyst employs on a daily basis in their work environment
  • Learn essential analytical abilities (data cleansing, analysis, and visualization) as well as the tools to use them (spreadsheets, SQL, R programming, Tableau)
  • Understand how to prepare and arrange data for analysis, as well as how to execute analyses and computations using spreadsheets, SQL, and R programming languages
  • Discover how to visualize and convey data results using dashboards, presentations, and popular visualization platforms.

Skills you will gain

  1. Spreadsheet
  2. Data Cleansing
  3. Data Analysis
  4. Data Visualization (DataViz)
  5. SQL
  6. Questioning
  7. Decision Making
  8. Problem Solving
  9. Metadata
  10. Data Collection
  11. Data Ethics
  12. Sample Size Determination

Google Data Analytics Professional Certificate

Prepare for a new profession in the high-growth sector of data analytics, with no prior experience or college degree necessary. Take advantage of Google’s professional training and networking opportunities to meet and network with leading employers. There are 337,400 data analytics job openings in the United States, with an average entry-level income of $67,900.

Analytical data mining is the process of gathering and analyzing large amounts of data in order to draw conclusions and make predictions, as well as to assist in the process of making informed decisions.

Over the course of eight courses, you will learn in-demand skills that will prepare you for an entry-level position. The information you’ll receive will come from Google employees whose backgrounds in data analytics acted as launching pads for their own professional endeavors. You can complete the certificate in fewer than 6 months if you work less than 10 hours each week.

You’ll be prepared for a variety of positions such as junior or associate data analyst, database administrator, and others after graduation. Upon completion of the certificate, you will be able to apply for positions with Google and over 130 other U.S. firms, including Walmart, Best Buy, and Astreya, directly from the certificate.

82 percent of Google Career Certificate graduates report a good career outcome such as a new job, promotion, or raise.

Applied Learning Project (ALP)

You will learn how to simulate real-world data analytics scenarios, which will be crucial for your success in the industry. This program includes over 180 hours of instruction as well as hundreds of practice-based tests. The content is extremely interactive and has been built entirely by Google employees who have decades of experience in data analytics and machine learning. In this course, you will learn about analysis tools and platforms, as well as the key analytical abilities required for an entry-level position, through a combination of videos, exams, and hands-on laboratories.

Included among the skills you’ll learn are data cleansing and analysis, problem-solving, critical thinking, information ethics, and data visualization.

Presentations, spreadsheets, SQL, Tableau, and R programming are just a few of the platforms and tools that you will study.

As part of the program, you’ll receive expert instruction and participate in hands-on projects. You’ll also complete a case study that you can use to demonstrate your new skills to potential employers. Acquire tangible skills that top employers are looking for right now.

What is a Professional Certificate, and how does it work?

Professional Certificates on Coursera can help you prepare for a new career or change your current one, whether you’re looking to start a new one or alter your present one. Find the time and place that are most convenient for you to learn at your own pace. Enroll today and take advantage of a 7-day free trial to discover a new career path. You have the option to suspend your studies at any moment or cancel your subscription at any time.

Make practical use of your abilities through hands-on projects and compile a portfolio that will demonstrate your work readiness to prospective employers. In order to receive your certificate, you must complete the project(s) to your satisfaction.

When you finish all of the courses in the program, you will receive a Certificate that you can share with your professional network. You will also have access to career assistance tools that will assist you in launching your new career. Many Professional Certificates have employment partners who recognize the Professional Certificate certificate, while others can assist you in preparing for a certification exam. More information can be found on the specific Professional Certificate pages where it pertains.

The Google Data Analytics Professional Certificate Program Consists of 8 Courses

I am providing you with the program details below:

Foundations: Data, Data, Everywhere

Students will be prepared to apply for entry-level positions as data analysts upon completion of this certificate program. It is not required to have prior experience.

Foundations: Data, Data, Everywhere

In the Google Data Analytics Certificate program, this course is the first of eight courses. With the skills you gain from these courses, you will be prepared to apply for entry-level data analyst positions. Almost every type of organization requires data analysts to assist them in improving their operations, identifying opportunities and trends, launching new products, and making well-informed business decisions. The Google-developed hands-on curriculum for this course will expose you to the world of data analytics in a fun and engaging way. A wide range of important data analytics topics are covered in the material provided, and it is intended to provide you with an overview of what will be covered in the Google Data Analytics Certificate program. You will learn from current Google data analysts who will guide you through the process of completing basic data analyst duties using the best tools and resources possible.

After completing this course:

  • You will gain an understanding of the procedures and processes that a junior or associate data analyst uses on a day-to-day basis in their position.
  • Learning important analytical skills (data cleansing, data analysis, and visualization) and tools (spreadsheets, SQL, R programming, and Tableau) that you can add to your professional arsenal can help you succeed in your professional endeavors.
  • Gain an understanding of a broad range of terms and concepts that are applicable to the position of a junior data analyst, such as the data life cycle and the data analysis process.
  • Analyze the function of analytics in the data ecosystem and make recommendations.
  • Conduct an evaluation of one’s own analytical thinking skills.
  • Learn about work options that will be accessible to you once the program is completed, as well as the best techniques for job searching.

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Ask Questions to Make Data-Driven Decisions

Ask Questions to Make Data-Driven Decisions

The second course in the Google Data Analytics Certificate program is being offered right now. These courses will provide you with the knowledge and abilities necessary to apply for entry-level data analyst positions. You’ll build on your knowledge of the concepts that were taught in the first Google Data Analytics Certificate course as you progress through this course. The content will assist you in learning how to ask effective questions in order to create data-driven decisions that are in sync with the needs of stakeholders. Currently employed Google data analysts will continue to train and guide you through the process of completing common data analyst jobs using the most up-to-date tools and resources available.

After completing this course:

  • Gain an understanding of good questioning strategies that can aid in the direction of analysis.
  • Develop your grasp of data-driven decision-making and the methods by which data analysts deliver their conclusions.
  • Investigate several real-world business issues in order to gain a better knowledge of questioning and decision-making techniques.
  • Learn how and why spreadsheets are a valuable tool for data analysts in this tutorial.
  • The basic concepts connected with organized thinking will be examined, as well as how they may be used to help analysts better comprehend challenges while developing solutions.
  • To reach corporate objectives, learn how to manage the expectations of stakeholders while maintaining clear communication with a data analytics team.

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Prepare Data for Exploration

Prepare Data for Exploration

The third course in the Google Data Analytics Certificate program is being offered right now. These courses will provide you with the knowledge and abilities necessary to apply for entry-level data analyst positions. During this course, you will continue to build on your understanding of the concepts covered in the prior two courses while also being introduced to new topics that will assist you in developing practical data analytics abilities. Your knowledge of spreadsheets and SQL will be expanded, as you learn how to extract and make use of the appropriate data for your objectives, as well as how to manage and safeguard your data. Currently employed Google data analysts will continue to train and guide you through the process of completing common data analyst jobs using the most up-to-date tools and resources available.

After completing this course:

  • Learn how analysts choose which data to acquire for analysis and how they make their decisions.
  • Understand the differences between structured and unstructured data, as well as data types and data formats.
  • Learn how to recognize different sorts of bias in data in order to improve the trustworthiness of the data.
  • Investigate how analysts interact with databases and data sets using spreadsheets and SQL.
  • Investigate open data, as well as the relevance and necessity of data ethics and data privacy in today’s world.
  • You will learn how to access databases as well as how to extract, filter, and sort the information contained inside them.
  • Learn about the best practices for organizing data and keeping it safe from unauthorized access.

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Process Data from Dirty to Clean

Process Data from Dirty to Clean

In the Google Data Analytics Certificate program, this is the fourth course you will take. These courses will provide you with the knowledge and abilities necessary to apply for entry-level data analyst positions. The principles and techniques that data analysts utilize in their job will be reinforced in this course, which will help you further your grasp of data analytics. During this course, you will learn how to check and clean your data using spreadsheets and SQL, as well as how to validate and report on the results of your data cleaning. You will continue to be instructed and provided with hands-on techniques to execute common data analyst jobs using the most up-to-date tools and resources by current Google data analysts.

After completing this course:

  • Discover how to do a data integrity check.
  • Excel spreadsheets are used to demonstrate data cleansing procedures.
  • Create the fundamental SQL queries that will be used on databases.
  • Cleaning and converting data can be accomplished with the help of basic SQL operations.
  • Acquire an understanding of how to check the results of data cleansing.
  • Learn about the components and significance of data cleaning reports.

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Analyze Data to Answer Questions

Analyze Data to Answer Questions

In the Google Data Analytics Certificate program, this is the fifth course you’ll take. These courses will provide you with the knowledge and abilities necessary to apply for entry-level data analyst positions. We’ll be looking at the “analyze” step of the data analysis process in this course! In order to make sense of the data you’ve collected, you’ll apply everything you’ve learned up to this point to your analysis. You’ll learn how to organize and structure your data using spreadsheets and SQL, which will allow you to look at and think about your data in a variety of ways as a result. Also covered is how to execute sophisticated computations on your data in order to achieve business objectives. – As you go through the process of conducting your analysis, you will learn how to employ formulae, functions, and SQL queries. You will continue to be instructed and provided with hands-on techniques to execute common data analyst jobs using the most up-to-date tools and resources by current Google data analysts.

After completing this course:

  • Understand how to organize data in preparation for analysis.
  • Gain an understanding of the procedures for formatting and altering data.
  • Develop your grasp of how to aggregate data in spreadsheets and through the use of SQL queries.
  • To calculate data in spreadsheets, formulas and functions are used to do this.
  • Learn how to use SQL queries to finish computations in a structured manner.

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Share Data Through the Art of Visualization

Share Data Through the Art of Visualization

The Google Data Analytics Certificate includes eight courses, the sixth of which is this one. These courses will provide you with the knowledge and skills necessary to apply for entry-level data analyst positions. As you progress through the data analysis process, you’ll gain an understanding of how to visualize and present your findings. Learn how data visualizations such as visual dashboards can help you make your data more interesting and understandable. As part of this course, you will learn about Tableau, a data visualization software that can assist you in creating great visuals for your presentations. Current Google data analysts will continue to train and equip you with hands-on approaches to execute basic data analyst duties with the greatest tools and resources.

After completing this course:

  • Examine the significance of data visualization in the business world.
  • Find out how to use data tables to create a captivating narrative for your audience.
  • Acquire an understanding of how to design dashboards and dashboard filters in Tableau using the Tableau software.
  • Create impressive visuals using Tableau by learning how to utilize the software program.
  • Examine the principles and techniques that contribute to good presentation delivery.
  • Understand how to take into account any potential restrictions related to the data you use in presentations.
  • Recognize how to apply best practices to a Q&A session with your target audience.

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Data Analysis with R Programming

Data Analysis with R Programming

‘Google Data Analytics Certificate’ is the seventh course in a series of eight courses. These courses will provide you with the knowledge and abilities necessary to apply for entry-level data analyst positions. This course will introduce you to the R programming language, which is a type of statistical programming language. RStudio, the environment that allows you to work with R, will be taught to you during this course. It will also cover software programs and technologies that are specific to R, such as R packages, which will be covered in depth during this course. During this course, you’ll learn how R can be used to clean and organize data, as well as analyze, visualize, and report on it in new and more powerful ways than you ever imagined. You will continue to be instructed and provided with hands-on techniques to execute common data analyst jobs using the most up-to-date tools and resources by current Google data analysts.

After completing this course:

  • Investigate the advantages of programming in the R programming language.
  • Learn how to utilize RStudio to apply R to your data analysis projects.
  • Examine the essential ideas related to programming in the R programming language.
  • Learn about the contents and components of R packages, such as the Tidyverse package, by exploring them.
  • Acquire a working knowledge of data frames and their application in R.
  • Learn about the various possibilities for creating visualizations in R.
  • Discover how to use R Markdown to record your R programming.

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Google Data Analytics Capstone - Complete a Case Study

Google Data Analytics Capstone: Complete a Case Study

‘Google Data Analytics Capstone: Complete a Case Study’ is the eighth course in a series of eight courses. You’ll have the opportunity to do an optional case study, which will help you prepare for the job search in the data analytics field once you graduate. Case studies are frequently used by businesses to evaluate employees’ analytical abilities. You will select an analytics-based scenario to use as the basis for your case study. After that, you’ll ask questions, prepare, process, evaluate, visualize, and act on the information you’ve gathered from the situation. Additional job search skills will be taught to you through films that include common interview questions and solutions, helpful materials for building an online portfolio, and other resources, among other things. Currently employed Google data analysts will continue to train and guide you through the process of completing common data analyst jobs using the most up-to-date tools and resources available.

After completing this course:

  • Understand the advantages and applications of case studies and portfolios in the job search process.
  • Examine real-world job interview scenarios as well as frequently asked interview questions.
  • Learn how case studies can be used as part of the job interview process in this session.
  • Examine and take into consideration various case study circumstances.
  • You’ll have the opportunity to complete your own case study for inclusion in your portfolio.

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Conclusion

The Google Data Analytics Professional Certificate is ideal for someone serious about getting started with data analysis. The curriculum is well-presented, and it provides students with the core knowledge of data analysis that they need.

This, in my opinion, is an important addition to the industry and has the capacity to be an excellent consideration for many people to enter the field. The fee is by no means insignificant for many students, but I feel that $39/month offers excellent value given the variety of topics covered.

Note: Please share your thoughts and reviews about Google Data Analytics Professional Certificate in the comment box below.


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12 Comments
  1. It was a fantastic training that I completely liked and found to be well worth the time and effort. I’m looking forward to putting these abilities to use and developing them further. Grateful to the Google team and everybody else who helped make this initiative a reality.

  2. I have taken several courses on Coursera, and this is the greatest so far. It includes some of the best resources and practical knowledge I have ever encountered. No one will be disappointed if they enroll in this Professional Certificate Program.

  3. I admire the presenter of this course for his dedication. However, the accompanying material, particularly the first, has a lot to be desired.

    To begin, each piece of this material reads as though it was authored by a separate person—which it most likely was. This presents a serious issue, as the content is disjointed and does not adequately guide the learner through the case study. Occasionally, two phases will replicate a portion of the process, and occasionally, one step will presume something was completed previously when it was not. There is an almost complete lack of quality control and editing in terms of connecting the separate components and ensuring that a learner can complete them correctly from start to finish in the order in which they were delivered.

    To add another wrinkle, the first case study’s accompanying guide stipulates that the learner should retrieve the database’s last 12 months of data. However, the R script part was written in Q1 2020, as seen by the date stamp. As of the time of writing (I began the case study in late August 2021), the 12 most recent months’ worth of data consisted of several *million* rows in Excel and more than a gigabyte in total. This volume of data cannot be processed in the free version of RStudio or in a single Excel workbook; it may be possible to process it in SQL, but that would require downloading a SQL platform to work with, as Google did not see fit to provide us with appropriate access to one (like BigQuery) for the purpose of completing this case study.

    The course guide should have specified that the Analysis part of the case study should use the exact same months of data as the R script document. This would enable the student to follow through with the paper from beginning to end if there was any doubt about how to code the suggested analysis stages. (As an aside, why is this script document being written as a Google Doc? This effectively renders it unreadable. It should be an RMD file, similar to the one used in Course 7.)

    Overall, the course’s primary objective proved to be a fiasco, despite the fact that I had been looking forward to it. I gained a lot of knowledge by attempting to troubleshoot all the errors that kept occurring, such as the as. numeric() function in the script document converting my entire ride length column to NAs, but I gained the most knowledge by simply attempting to clean the data myself before realizing that the case study guide provided specific steps for cleaning and analyzing the data. Thus, I’d want to express my gratitude to Google for giving me the fundamentals in previous courses, which enabled me to continue teaching myself anything even after your case study course devolved into a train wreck.

  4. Students are not adequately prepared for this project by the preceding classes in this program, and there is no one to turn to for assistance if things go wrong during the assignment. I breezed through the last seven sections of this without incident, which should have raised suspicions in my mind that the training was insufficient, but I honestly believed I was simply picking up on it that quickly.

  5. Students would benefit from a downloadable template that would allow them to take notes while reading or watching (not just transcripts, but also slides and screenshots from the instructor’s screen with a place to scribble notes/highlight concepts) during the course. This might be beneficial for persons who prefer hardcopy, kinesthetic learners, or those who suffer from neurodevelopmental issues.

  6. Because of the low price, I did not have high expectations for this class; therefore, this rating is not focused on the content, but rather on the flow and presentation. In the first 60-70 percent of the course, you will be bounced back and forth between Excel commands, SQL commands, testimonies from Google employees, and best practices in data analysis.

    My notebook appears as if 14 individuals were attempting to take notes at the same time in the same place. Trying to go back over my notes to identify a specific command or concept proved to be a difficult endeavor. Once the course began to cover R, it became a little more bearable, but it was still interspersed with supplementary films and other distractions throughout the course. Some of the films were actually rather instructive, but the manner in which they were presented and when they were shown were detrimental to the learning process.

    Furthermore, having a final/capstone project that is not assessed or graded significantly lowers the value of the capstone project. I suppose you get what you paid for in this case.

  7. I really like the data analytics portfolio project, which was offered for the first time by Google and is used for exhibiting case studies and interview preparation.

  8. I was quite pleased with the resources and advice provided throughout the Capstone Project process. However, I was quite dissatisfied with the assistance I received in my job search! As soon as I registered my profile on the Coursera Job Platform and began searching for Data Analyst positions in Houston, Texas, I discovered that there were none available! You gave me the impression that you had assembled a group of possible companies who were willing to consider new Google Data Analytics Certificate holders. That is one of the primary reasons why I decided to participate in this program. Unfortunately, this was not the case. Yes, I am aware that there are several analyst positions available through traditional job search platforms such as Indeed. Why aren’t you taking advantage of this opportunity? In any case, I don’t think I’ll be disappointed in receiving the certificate. I’m just disappointed in the lack of assistance in converting it into a legitimate job offer.

  9. While performing a case study was enjoyable and provided a valuable learning opportunity, the guidelines for doing so were a bit difficult to follow. Furthermore, it is entirely dependent on the honor system to determine whether or not you have completed any job at all. Consequently, I believe that there are some places for improvement in this particular class, which is part of an otherwise excellent certificate program.

  10. Generally, I believed this course was excellent, particularly in terms of the value is provided in comparison to the expense.

    Because I came into the course with intermediate data analysis skills, the first few weeks of the course were a little more basic and introductory than I had anticipated. We were given the ability to test out certain aspects of the framework, which I found to be quite helpful.

    I was mostly interested in the SQL and R sections, both of which were new to me, as well as the opportunity to improve my Tableau skills, which were pretty basic at the time. While I found both of these sections to be extremely helpful in developing an understanding of the fundamental concepts of SQL, R, and Tableau, I do not believe that I retained enough of the more advanced skills in these areas and believe that I would need to supplement my knowledge in order to be proficient in these areas of expertise. I’m also more on the business analyst side of things and am not particularly interested in the more technical aspects of things, so it’s reasonable to assume that there will be people that are interested in this throughout this time period.

    As an alternative to include R, I would have preferred that the course concentrates solely on SQL, so that participants could gain knowledge of more sophisticated SQL functions.

    This course is excellent for people who are just starting out or who want to create a solid foundation for entry-level employment. I would highly recommend it. However, if you want to dig a little deeper, you can do so.

  11. This is a fantastic beginner-friendly course for prospective data analysts who want to study the fundamentals of the field from the ground up. In order to make this online course better, Coursera and Google should include more practice tests that involve coding, constructing syntax, and explaining problems in real-world scenarios rather than merely video format. As a whole, I believe I have the necessary foundational knowledge to be considered for a position as an entry-level data analyst.

  12. This is a useful resource for getting an idea of the various phases of analytics projects. However, when it came time to delve deeper into the subject matter, it appeared as though there was no rhyme or reason to the concepts that were taught or the order in which they were given, which was disappointing. My preparation for analysis is lacking, even though I believe I have gained a better understanding of the process and the holes that I need to fill in with additional research.

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