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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
1,837 ratings

About the Course

This is the first of seven courses in the Google Advanced Data Analytics Certificate, which will help develop the skills needed to apply for more advanced data professional roles, such as an entry-level data scientist or advanced-level data analyst. Data professionals analyze data to help businesses make better decisions. To do this, they use powerful techniques like data storytelling, statistics, and machine learning. In this course, you’ll begin your learning journey by exploring the role of data professionals in the workplace. You’ll also learn about the project workflow PACE (Plan, Analyze, Construct, Execute) and how it can help you organize data projects. Google employees who currently work in the field will guide you through this course by providing hands-on activities that simulate relevant tasks, sharing examples from their day-to-day work, and helping you enhance your data analytics skills to prepare for your career. Learners who complete the seven courses in this program will have the skills needed to apply for data science and advanced data analytics jobs. This certificate assumes prior knowledge of foundational analytical principles, skills, and tools covered in the Google Data Analytics Certificate. By the end of this course, you will: -Describe the functions of data analytics and data science within an organization -Identify tools used by data professionals -Explore the value of data-based roles in organizations -Investigate career opportunities for a data professional -Explain a data project workflow -Develop effective communication skills...

Top reviews

NM

Feb 24, 2024

I have really got a fine refresher through this course. One of the basic idea of preparing PACE strategy document and understanding on RACI matrix was new for me. I recommend this course to every one.

MM

Jun 8, 2023

In this course i gain a deep knowledge about what is data science and what are all the other names, fields related with data science. How we use data to gain insights from the model.

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276 - 300 of 356 Reviews for Foundations of Data Science

By Ryan H

Oct 23, 2023

good

By Saqib A

Oct 3, 2023

nice

By Christian V

Sep 12, 2023

very

By DIWAKAR S

Jun 4, 2023

Good

By Mohamed F H

Jul 6, 2023

I'm thrilled to share that I've successfully completed the first part of the Google Advanced Data Analytics Certification course, "Foundations of Data Science"! 📊🔍During this comprehensive program, I've gained a deep understanding of the core concepts, tools, and techniques used in the field of data science. From data exploration and visualization to statistical analysis and machine learning, this course has equipped me with the essential skills needed to derive valuable insights from complex datasets.I want to express my gratitude to Google for offering this remarkable learning opportunity and providing an exceptional curriculum. The course was challenging yet highly rewarding, pushing me to expand my analytical thinking and problem-solving abilities.I'm now more confident than ever in my ability to tackle real-world data challenges and make data-driven decisions that drive meaningful outcomes. 📈💡I would like to extend a special thanks to my instructors and fellow classmates who contributed to the collaborative and engaging learning environment. It was a pleasure to connect with professionals from diverse backgrounds, all passionate about leveraging data for positive change.I'm excited to continue my journey in the Google Advanced Data Analytics Certification course, as I delve deeper into the intricacies of advanced data analytics and gain expertise in topics such as BigQuery, machine learning algorithms, and data visualization.If you're interested in the exciting world of data analytics and the power it holds to transform businesses, I highly recommend exploring this certification program offered by Google.

By Saad A K

Jun 30, 2023

The course did generally do a good job of providing necessary background knowlege about data careers and setting the pace for the upcoming courses. The only little thing I found that got annoying was for the final quarter of the course where things seemed to get a bit repetitive. Sane concepts about the PACE workflow were being repeated over and overagain in seperate reading and videos. I understand that the concepts being explained were important so it was important to reiterate but I think they wre reiterated a bit too much. Think the course can shave a few hours of without the unnecssary repetition. Overall though I really did find thhe course very helpful which is the most important thing.

By Steven M

Aug 14, 2023

Hi everyone,

This is honestly a great class, but it felt like a summary of the previous Google Data Analytics Certificate. In fact, I found myself having to speed up the videos since I just reviewed most of it.

Overall though, one very nice aspect about this course over the previous certificate was that you dive into job opportunities and projects right away. I thought that that was a much better option instead of having to wait until the end of the course like the original.

Can't wait to do class 2!

-Steven A. Monserrate

By Francesco V

Nov 1, 2023

I did like most of the material and I liked that the course puts the job of a data analyst in a context by also introducing not technical aspects of the job. However, although the course seems to be gathered for data analysis, the instructors and the examples throughout the course mentions mostly data scientists, which becomes annoying after a while. The course seems to be too "introductory" to prepare yourself fully for a data science role, and still this role is brought up consistently throughout the lectures.

By Corey F

Nov 14, 2023

While the course was engaging and interesting I find it a little strange that we are being taught about networking, mentorships, and LinkedIn profiles at the start of a course designed to give real world skills for data analysis. Landing the job is important but I feel like this content should be an optional final course for the advanced certificate. Quality of content was good, readings were up to date which is a change from a lot of online courses.

By Chiffon N

Jun 8, 2023

Informative course on the spectrum of data science, the different roles of data scientist and their standing in a data team. I'm impressed that this heavily emphasizes project management and communication at the very beginning. However, 4 star is rated because there are a lot of readings in a row. I prefer reading to videos, but I also got tired reading a ton and resorted to AI summary later in the course.

By Dylan V d L D

Mar 11, 2024

A well made foundational cource about the data career workflow. How a data project is carried out and other important skills needed in the workspace for a success in the project are discussed. With a focus on on interpersonal skills this cource also covers the data career market space & skills that would help standout more & land your first jobin the data field.

By Diego R F

Oct 3, 2023

It's really important to know how a data project is developed inside a company, the data stategy and more. Maybe you can make it more professional and maybe show real cases examples of the past or something like that. Showing how a project was developed from the begining it can be really insightful.

By fasih A

May 7, 2024

I take one star because it have less vedios . but its very helpfull in pace strategy which give tool to plan my day and gain new skill daily and something meaning full from my day and not that much insights about data but its beginner level introduction

By Elizanne L

Jul 18, 2023

This was a really great course to get you in the right mindset to continue with the certificate. I have learned how to complete the appropriate documentation and how important communication is. I look forward to learning more!

By David I

Feb 20, 2024

Very Good introduction to the world of Data Science, really liked the PACE workflow, but I would like more clearer examples since categorizing tasks is a little abstract, specially given the non-linear nature of the course

By Fernando E M M

Apr 21, 2023

Very exciting in terms of how a project is organized, how you have to follow certain structures that make your work easier when you are working in a group as a Data Scientist.

By Victor B

Feb 5, 2024

If you are new to the industry and you are looking for a general knowledge this course will open up your horizon on getting to more about data science.

By MUWANGA R J S

Apr 30, 2023

Good overview of things of the general methodology and softer aspects of data science that needs to be considered when interacting with data.

By Chan

Aug 18, 2023

Overall, this is a very good course but it would have been better if the reading materials are more succinct and straight to the point.

By Deleted A

Oct 25, 2023

For someone who is learning a new career at this point in my life, the challenge is real but the pay off is well the reward.

By Patricio M

Apr 24, 2023

A high level overview of the certificate path. Not many details on day-to-day tasks, but a more general survey.

By Max L

Apr 13, 2023

It's a great course but kind pointless for advanced certificate, maybe works better for base certificate

By RANA K

Aug 21, 2023

get to know about the world of data this course will give you the shareable knwledge on the data world

By Prathmesh D

Aug 1, 2023

It was a great learning experience I think a bit of excel could have been taught in this course

By EL A A

Jun 6, 2023

it was really a good cours i found the basic of data analyst and i understand the mening