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返回到 Foundations: Data, Data, Everywhere

学生对 Google 提供的 Foundations: Data, Data, Everywhere 的评价和反馈

4.8
120,244 个评分

课程概述

This is the first course in the Google Data Analytics Certificate. Organizations of all kinds need data analysts to help them improve their processes, identify opportunities and trends, launch new products, and make thoughtful decisions. In this course, you’ll be introduced to the world of data analytics through hands-on curriculum developed by Google. The material shared covers plenty of key data analytics topics, and it’s designed to give you an overview of what’s to come in the Google Data Analytics Certificate. Current Google data analysts will instruct and provide you with hands-on ways to accomplish common data analyst tasks using the best tools and resources. Learners who complete this certificate program will be equipped to apply for introductory-level jobs as data analysts. No previous experience is necessary. By the end of this course, learners will: - Gain an understanding of the practices and processes employed by a junior or associate data analyst in their day-to-day job. - Learn about key analytical skills (data cleaning, data analysis, data visualization) and tools (spreadsheets, SQL, R programming, Tableau) that you can add to your professional toolbox. - Discover a wide variety of terms and concepts relevant to the role of a junior data analyst, such as the data life cycle and the data analysis process. - Evaluate the role of analytics in the data ecosystem. - Conduct an analytical thinking self-assessment. - Explore job opportunities available to you upon program completion, and learn about best practices you can leverage during your job search....

热门审阅

PP

Feb 21, 2023

Great foundation, would have preferred some more real life examples (in depth) of the work of data analysts and perhaps a bit less fluff. Otherwise I'm satisfied with the knowledge this course offers.

AM

Mar 5, 2022

This course has given me alot of insight and new skills to feel empowered to change my career field. I feel like I am learning in a effective manner and really apperciate how this course is laid out.

筛选依据:

4426 - Foundations: Data, Data, Everywhere 的 4450 个评论(共 10,000 个)

创建者 sarmad f

Sep 17, 2021

One of the best course and teaching method I have ever seen in educational career. Thank you so much for this type of course .

创建者 Kimberly C

Jul 12, 2021

This was a great introduction to data analytics. I really enjoyed the course. And Tony is an excellent instructor! Thank you!!!

创建者 Ashutosh m

Jul 12, 2021

Amazing! this course help to understand the scope and importance of data and data analyst in organisations. thanks a lot google

创建者 Aryoma G

Jul 8, 2021

The instructor is great. I could learn so much without getting bored. Most importantly, this course made me want to learn more.

创建者 Mayank G

May 30, 2021

As we say, to go with the flow start is very important. And this is the great start to learn something new for someone like me.

创建者 Julie A

Apr 25, 2021

Great Job taking the time to really explain, in detail, all of the concepts. All the readings and assignments were so helpful.

创建者 Sriteja M

Apr 4, 2021

Gives a basic understanding of who data analysts are, what they do. What are the stages in their jobs. Everything from scratch.

创建者 Coker G

Nov 25, 2024

I would forever be grateful for this course for equipping with the basic knowledge i need for this my journey in this career.

创建者 Abdishakur A S

Sep 22, 2024

the course and the instructors was so amazing really enjoyed and thanks for accepting my request of applying the financial aid

创建者 Marvellous E

Oct 29, 2023

It was a wonderful course a d I enjoyed the learning process. Terms were explained to the lowest form making it easy to grasp.

创建者 Haneefa A

Sep 11, 2023

Clear and easy to understand explanations. Concisely explained all basic ideas and concepts needed for the rest of the course.

创建者 Anggit L M

Sep 2, 2023

Course ini membantu saya belajar untuk meningkatkan pengetahuan mengenai pembersihan data, visualisasi data, spreadsheet, SQL.

创建者 GERSON D S J

Sep 1, 2023

It's an excellent course. As far as I'm concerned, I would recommend to people who are starting in the world of data analysis.

创建者 Daniel S

Jun 25, 2023

It was very interesting to see how data is used in just about every aspect of our lives and I am excited to continue learning.

创建者 Joseph I

Jun 23, 2023

The learning was well organized. The tests/quizzes really helped for one to be alert. I now have a rich foundation!! Thank you

创建者 Johnny L

May 21, 2023

Great introductory learning diving into the world of data analysis. Course subjects are effective and learning is at my pace.

创建者 Mahnoor A

Mar 9, 2023

I honestly learned a lot in this course of 5 weeks. it has changed my perception and thinking in ways i never imagined before.

创建者 Martin G

Feb 3, 2023

Really clear, excellent material, the lessons learned here can be applied to all areas of problem solving, I loved the course.

创建者 Susana P

Jan 20, 2023

Great course design, I like the diversity of people in the videos. Concepts are clear and the instructors are very motivating.

创建者 Ascension T

Jan 20, 2023

This course is one of the best courses ive ever taken, filled with information and resources to really understand th subject.

创建者 Jaz G

Dec 3, 2022

Very easy to learn and focus on my weaknesses based on the quiz results instead of having to review every piece of the course.

创建者 Abdur R A

Nov 29, 2022

A very good course which helps in understanding about data analytics with examples of everyday life and helps in improving me.

创建者 Daniel G

Sep 25, 2022

Provides great infromation to learn from. Also, the examples are great and help to get a better understanding of the subject.

创建者 Soumaya B

Aug 31, 2022

The course is explained very clearly and easy to understand. That help to accomplish all the syllabus required for the course.

创建者 HARSH T

Aug 28, 2022

Everything in this course is explained nice. You not need to go through this course again. You will understand it in a one go.