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Learner Reviews & Feedback for Foundations of Data Science by Google

4.7
stars
2,465 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.

RM

Sep 21, 2024

Good intro. Was able to move through quickly to suit my level of comfort with material. Was more about filling in some practical details for me, rather than introducing me to a 'whole new world'.

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51 - 75 of 462 Reviews for Foundations of Data Science

By Tatjana Kuzika

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Aug 1, 2024

The Foundations of Data Science course covers a wide range of topics that are essential for anyone starting in data science. The course is well-structured and is suitable for both beginners and those with some prior knowledge looking to solidify their understanding.

By Josh K

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May 4, 2024

This was a great foundational course for understanding the Planning stages of a Data Analytics process. I have a greater awareness of the tools for planning a workflow and building project proposals. This will aid in the rest of the course and my career as a whole.

By Ranjan K

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Jul 30, 2023

This is one of the most popular Coursera specializations for meeting new career goals or defining a new career path. Students who learn data science on Coursera can choose between this course,. This review focuses on Coursera’s Introduction to Data Science.

By TAOFEEK A

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Sep 3, 2023

This course is fantastic, an eye opener. I learned a lot about data science and the career opportunities therein , it's very comprehensive an easy to navigate and comprehend. it is highly recommended both for career change and direct opportunities.

By Dotun O

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Jun 30, 2023

If one avoids rushing through this course, I believe that skills learnt are important underpinnings for the foundations of Data Science. Also, importantly, skill acquired here are transferrable to other projects. Thanks Google. Thanks Coursera.

By Juan C G G

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May 11, 2024

Just completed the "Foundations of Data Science" course, enhancing my skills in regression modeling, Python programming, statistical analysis, effective communication, and predictive modeling. Excited to apply these in practical scenarios!

By Pedro P

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Oct 24, 2024

An excellent course to begginers and even to advanced data professionals. There are great examples of where and how to work being a data analyst. Therefore, this is a good course and an excellent way to keep learning about data.

By Jatin G

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Mar 9, 2024

Here the faculty covers each and every topics and concepts in a beautiful way the challenges and the assignments given were helping to make the concepts more clear by applying the knowledge we learn big thanks to google and team

By Hajira B

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Mar 7, 2024

This course gave me insights into how an organization works on a data science project and the overall project workflow. I also gained knowledge on the skills a data scientist must have along with effective communication skills.

By Abdullah M

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Sep 1, 2023

The Course is well formulated and goes step by step. Offer valuable information from the real world tech companies and teaches the best practices and processes in becoming a great future data scientist. Highly recommended!

By Brent A

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May 20, 2023

Nice overview of the framework of a data science project and what types of jobs are available in the field. I also appreciate the explanations they give regarding other certifications to ensure you are in the right place.

By Min H M

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Aug 29, 2024

This is one of the best courses that I had ever learned before. This course provided the perfect modules and in each module with assignments and tasks. I like the features of the pop-up questions during the video play.

By Qamar U Z B

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Aug 10, 2023

I found this course very helpful as I learn several new terms and principles especially focused on providing practical experiences. Overall, it's the best option if you wanna start your career as a data professional.

By Lukman A

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May 9, 2023

This course gives a granular understanding of data science, its use-cases and how it is constantly evolving. It also provides an important template on how to get started working with data. Strongly recommend this.

By June H

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Oct 26, 2023

It gives the foundation of drafting a proposal of a project, which is the key part of data job. This course refreshes me to think about the communication part instead of always focusing on the techonical part.

By Markku L

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Aug 18, 2023

Great overview to Data Science! Provided frameworks and tools were very useful, and continue to be in the future. The templates, however, could be improved in terms of using consistent fonts, styles, etc.

By Gizachew A

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May 10, 2023

The course content was well-structured, concise, and easy to understand. I highly recommend learning the foundation of data science to anyone looking to take their data analysis skills to the next level.

By Aidan R

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May 3, 2023

Felt like a good explanation of the different data professional careers, I feel like some of this information should have been in the beginner Google Data Analytics Course but I am glad it appears here.

By Nadya M

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Feb 25, 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.

By Roderick M

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Sep 22, 2024

Good intro. Was able to move through quickly to suit my level of comfort with material. Was more about filling in some practical details for me, rather than introducing me to a 'whole new world'.

By Mukesh K M

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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.

By Matthew E

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Oct 10, 2024

This was a very useful course. I was pleasantly surprised by the type of content and the way it made me think. I am used to studying technical content, so this was a welcome change.

By Abanoub Y

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Aug 29, 2023

It's very useful course, I learned a lot about data science and data professionals' careers, it's very comprehensive introduction for data science and I am highly recommended.

By Umeh U F

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Aug 28, 2024

It was interesting and wonderful to partake in this shared knowledge in continuation of Foundation of Data Science program with Google.Thank You Google ,thank you Cousera

By Sergio P S F

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Jun 5, 2023

It was very useful to understand how is the data science carrers, how to communicate properly with others and how developt a good project proporsal and Pace workflow