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Learner Reviews & Feedback for Prepare Data for Exploration by Google

4.8
stars
21,115 ratings

About the Course

This is the third course in the Google Data Analytics Certificate. As you continue to build on your understanding of the topics from the first two courses, you’ll be introduced to new topics that will help you gain practical data analytics skills. You’ll learn how to use tools like spreadsheets and SQL to extract and make use of the right data for your objectives, and how to organize and protect your data. Current Google data analysts will continue to instruct and provide you with hands-on ways to accomplish common data analyst tasks with 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: - Find out how analysts decide what data to collect for analysis. - Learn about structured and unstructured data, data types, and data formats. - Discover how to identify different types of bias in data to help ensure data credibility. - Explore how analysts use spreadsheets and SQL within databases and data sets. - Examine open data and the relationship between, and importance of, data ethics and data privacy. - Gain an understanding of how to access databases and extract, filter, and sort the data they contain. - Learn best practices for organizing data and keeping it secure....

Top reviews

RA

Aug 10, 2022

The lessons were easy to follow through and the explanantions were easy to understand. The hands-on practices also helped improve hands-on skills with the data analysis tools introduced in this course

DD

Jul 4, 2021

Thank you for the course! It's a nice introduction to SQL and Google Big Query as well as the concepts of data privacy and security. The course also offers some great tips for professional networking.

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251 - 275 of 3,302 Reviews for Prepare Data for Exploration

By Deepa K

•

Apr 18, 2022

I have been loving these courses and I think anyone with no prior knowledge can get started with the learning. I love the instructors and all the reflection materials, tests and assignments. I totally recommend people to take the course.

By IBUKUN D A

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Jan 19, 2023

This course not only prepared me for data preparation but also guide me on some keys to connect to another analyst, expose me to some online communities where resources are made available and give me tools to be a successful data analyst.

By Nur M H

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Mar 13, 2023

Wonderful course. The ideas of data privacy and security are well-introduced, as well as SQL and Google Big Query. The explanations and lessons are straightforward and simple to follow. This class was a lot of fun for me. Thanks, Google!

By Mariya

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Oct 1, 2022

Course content : Good

Facilitator Hallie : Thank you for making this course in such a way that it was easy to understand with the examples , even some vast topics liks bias,ethics, privacy were taught in a clear comprehensive manner.

By MRIDUL P

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Dec 19, 2021

It was an amazing experience. The classes were well-paced and the content was highly related and continous.

Instructor's amazing. Ma'am's teaching way feels helping and appreciating although it is an online course but never felt distant.

By Promise A

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Nov 24, 2022

This course is very beginner friendly. I recommend it to anyone with zero knowledge of data analysis wanting to get started with a career in the data field.

Also, the instructors right from Course 1 have been nothing short of amazing.

By Thomas B

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Jul 26, 2022

This course has extended my understanding of the use of spreadsheets, and introduced me to SQL, something I had never touched. Also, I get to sign up on Kaggle and now have networking skills up my sleeves. It definitely needs a 5 star

By Toàn P

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Apr 14, 2023

This course is well-informed and full of interesting tips for a data analyst to come prepare for the future prospect. It also literally include all the "prepare" tasks that a newbie have to accomplish on the way to be a professional.

By Radhika B

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Jun 29, 2021

Covered all the content needs to be covered. The essential part of this was taking care of networking , social media and mentor-ship was great which other courses definitely not provide. Cheers to be a learner from google community.

By Abdelgadir M A

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Jul 7, 2022

I don't know what I can say or thank your wonderful team for everything they did and what they will give me and teach me for this wonderful and enjoyable course. Thank you to the universe for all your efforts and continuous support

By Ben C

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Jun 16, 2021

Great course! My only complaint is that I don't think anyone with an analytical mind would enjoy using LinkedIn. That site is a disorganized mess filled with insurance sales people trying to get you to go to "free lunch" meetings.

By Frank K

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May 30, 2022

It thouroghtly covers all that one pursuing data analyst course must know about preparing data for exploration. Instructor took her time to explain the main points with fitting examples and the practice sessions were good enough.

By Mike W

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Apr 5, 2022

I loved this course because it introduced me to Kaggle and BigQuery. I will say this course went from zero to 60 faster than a Hellcat but I enjoyed every second of it. I am anxious to put my new skills to work and practice SQL.

By Yonas A

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Jan 14, 2023

This course played a very important roll in my data analysis career, a well organized and well prepared course contents which get's you excited during the entire course period. Thanks to every one involved in making this course.

By Nathaniel B

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Oct 19, 2022

Thank you, Hallie and the instructors, for a job well done! I was especially interested in the hand-on activities on spreadsheets and databases and in the lessons on data privacy and ethics of the course. On to the next course!

By LUCIO A R

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Sep 1, 2023

Excelente curso en donde se vieron temas muy importantes como la ética, poder identificar los sesgos, los estamentos básicos de SQL, etc.

Recomiendo este curso completo ya que permite tener una mirada integral de la disciplina.

By Livia T

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Feb 16, 2023

I enjoyed every moment of this course. I am passionate about data privacy and it was great to learn ways I can help keep data safe! I'm eager to continue with this Certificate and the subsequent course and work more with data.

By Prasenjeet D P

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Jun 6, 2022

Simply Great lots of things are covered in very easy way. However, i am expecting newupdated topic on BigQuery. There is change in the interface a bit as well as Sandbox requires user to enter card no. even for free access.

By ABHISHEK V

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May 4, 2022

Nice course by nice instructor. Overall the course is good most interesting parts of this course are in Hands-on activity and Self-reflection. Also teaches how to build online presence and explore the new ways to do a thing.

By ASHRULOCHAN S

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Apr 8, 2022

This course opened a door toward database, sampling, bias and how to create connections in data analyst societies.

Learned Bigquery and applied some basic SQL syntaxes to analyze data. Now I am feeling excited and confident.

By NAGOTHU K K V

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Jan 13, 2022

excellent teaching skills. all these courses grab interest to even finish this course in just one day. I wonder looking at my skills ive gained till now. im very excited to start the next course with sally. happy learning.

By SUSHMA P

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Jun 7, 2023

This course briefly explains the types of data and database systems. Various tools like spreadsheets and SQL used for retrieving the data. Data protection and privacy play an important role in maintaining trustworthiness.

By devendra s R

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Jan 1, 2023

This is an excellent course to improve the basics of data preparations and It will provide essential knowledge to all those who don't have a technical background in education but want to explore the data analytics world.

By Ms K

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Aug 12, 2021

Pace and format is flexible, easy to understand and of appropriate length. Instructors are knowledgeable in subject matter, videos and well-paced and language used is easy to understand. Would definitely recommend course.

By Lorletha F

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Jul 31, 2023

Good start on initial source and preparation of data, learning about spreadsheets and databases, topics such as data collections, formats, transformation, bias, data privacy, naming conventions, networking and mentoring.