The Google Data Analytics Professional Certificate has been an incredible learning experience for me. As someone who was new to data analysis, the course provided clear and practical guidance on everything from using R programming and SQL to visualizing data and presenting insights. The hands-on projects were especially helpful in applying the concepts I learned. I now feel more confident in my ability to analyze data and contribute to business decisions. It’s been a great addition to my skillset as I transition into the world of data analytics.

Taking the "Prepare Data for Exploration" course has been a truly exhilarating experience. As an aspiring data professional, understanding the intricacies and significance of data preparation has proven to be a game-changer for my career trajectory.

The course's meticulously designed curriculum not only fostered a deep understanding of the subject but also rekindled my passion for data analytics. The modules effectively illustrated the importance of preparing data prior to analysis and how it influences the outcome of any data-driven project.

The course was amazing! It just keeps getting better and better to a point that this is all I think about the whole day. SQL was a bit tough to grasp for me but they made it so easy and simple to understand in this course. The best part is that they don't just teach you data analytics, they also prepare you for your professional journey. The week they dedicate to the part about growing yourself as a professional just makes this course so meaningful and unlike any other course that you would take. Can't wait to get done with the whole thing.

A very good course on how to prepare your data for the analysis. The instructor gave the basic understanding of SQL. I am a beginner in data analysis and this course had helped me to get more enthusiasm for data analysis. Before this course I though SQL can be learned only who knows programming, but the way things were explained about SQL I think anyone can learn SQL who have have basic logical thinking and basic math skills. Thank you Hallie, Coursera and Google for the wonderful and easy understood able lectures, interactive lectures...

When preparing data for exploration, think of it like getting ready for a journey. Just as you'd pack essentials and organize your belongings, in data exploration, you're priming your information for a smooth investigative journey. Tasks include cleaning out inconsistencies, organizing data neatly (think folding clothes for easy access), and ensuring everything is set up for a clear path toward insights. It's about making the data relatable and understandable, much like arranging items in your suitcase for easy retrieval during your trip!

Excellent course with great information on how to organize/protect data and write basic queries.  I particularly enjoyed the BigQuery exercises.

The section on metadata was very useful, and “Data structuring with Quick, Draw!” was also fun! Also introduction to Kaggle at the end of Week 1 was great – this site has a lot of materials and free courses.

Also if you are new to workforce and/or LinkedIn, the “Online Presence” section is for you! Very good tips on how to establish and grow your online presence and where to find connections!

I thoroughly enjoyed this course and enjoyed following a great presenter who seemed to grow in confidence. I really appreciate the guidance on Kaggle. I would love to get involved in the various stock market challenges. This course also gave me the push to finally set up my own Google Cloud Platform account. I've used QwikLabs before, but never taken the plunge to develop my own projects.

In terms of content, the mix between technical and soft skills is about right. There are plenty of modules to go in the program.

Thanks, Google!

Great introduction to Google BigQuery SQL. Course mentions the user interface design does change. So, some images of a window may look different with current version of application and version shown in lesson. Student is encouraged to use their troubleshooting skills to find the change of location different functions. The difference is not too bad, and items can be found. This did have me press to look around intently to find certain functions, but that was alright, since that helped me to learn the app and location of items needed.

Have a nice day, my teacher. Thank you for this course. This is nice work, teacher! I have completed this course, which is like full gratification! Employers appreciate these kinds of classes and can appreciate what's needed. I have developed during my learning. There is an opportunity to feature this project in my portfolio and add details to illustrate my rational thinking and skills. My recently completed course would look great on my profile. I appreciate you, and I am very grateful for the knowledge that you give to people.

Please I noticed an error in one of your questions. 'Question 6 - A data analyst wants to make sure their dataset contains only numbers below 299 from cell E2 through cell E100. Which of the following COUNTIF statements could they use? Select all that apply. ' It has only one correct answer which is =COUNTIF(E2:E100,"<299") but when it was selected, you gave me 0.75/1 and said I did not select all the correct answers. Please correct this. The course was amazing just like others. I appreciate you all. Thank you.

Very well organised and suitable for beginners and if you already have a bit of knowledge this is an excellent revision tool! I was thrilled to have found a "recipe" to prepara the data. I once had a sheet with over 2000 entries. Then as I was working through it I started seeing what I suspected were duplicates. I removed duplicates and realised I only had about 600 rows. This is when I decided to always check sheets for duplicates. And then to learn this is one of the key steps in preparing data was wonderful!

Got nice representations from the videos and from texts/images that connect some concepts I use and rules I follow because it seems to be the right way to do it. Clear and direct information, I got used to watch the videos at 1.25 or 1.5 times speed because the instructors talk patiently, but it is in a good pace (some times when the person speaking changes I have to speed down). The surveys and tests are coherent with the contents and it was woth going step by step over the weeks information.

The Prepare Data for Exploration component of the Google Data Analytics is very well organized and thought out. I was surprised at the career building aspects included in the course such as discussions on which professional resources to join, how to obtain a mentor, and use of social media for professional purposes. The technical aspects are well taught with practice samples and videos. I continue to be impressed by the high quality of this course and the inclusion of "soft skills".

Great course to prepare your data. Only one thing might disturb you, which is in third week, it tries to teach you a lot in one video, which can be overwhelming when you watch it for the first time. But they repeat the process in that video afterwards to make sure you learn it, so at the end there remains no problem :) Btw, the quizzes and weekly challenges were great but the overall course challenge could be better by kind of forcing us use the Google Cloud Platform(BigQuery) :D

The whole course was designed in a very appropriate manner, the tutor Hallie explained every topic in the simplest manner possible every example she gave brought clarity to the topics and helped me to understand each and every topic, I also got to learn various technical skills like Bigquery, and SQL and it was fun going through each practice challenge, I also got to know various platforms that can help me in getting free data like Kaggle. So, In short I say, I loved the course.

This is the third in an eight-course series of the #dataanalytics professional certificate offered by #google via #coursera ; perfect for anyone seeking to get into the field of data science/analytics from a non-tech background. I am a visual person with a short attention span, who appreciates the quality of infographics and short videos used in the course delivery. Overall, I find this program a perfect fit for my #careergoals and I would be sticking around till the end.

Most of the content is more focused on establishing fundamental concepts. It would be better to finish reading everything within two days rather than following the weekly schedule outlined in the course.

There are many reflective exercises in between, and some of the content may be unclear for beginners. Just take a look and don't take it too seriously. Consider it as supplementary knowledge, and you can always come back to understand it later when needed for work.

Prepare Data for Exploration Review Key Steps: 1. Import data 2. Clean data 3. Transform data 4. Handle missing values 5. Remove duplicates 6. Format data Data Cleaning: 1. Identify and correct errors 2. Handle inconsistencies 3. Remove irrelevant data Data Transformation: 1. Aggregate data 2. Normalize data 3. Convert data types Best Practices: 1. Document data sources 2. Use consistent naming conventions 3. Validate data quality Tools and Techniques:

As with course 2, I read the reviews of this course first. I was pleasantly surprised. The fact is, that from the basics one needs to continue learning intensivly either on the platforms introduced so far, Kaggle and Big Query or through other learning platforms. The basics are presented in an good structured manner. Thanks.

The reviews of this courese mirror the different backgrounds of the learners. This courses can only be the beginning of a learning path.

I just wanted to express my appreciation for the incredible learning experience I had with the course instructors. Their detailed and step-by-step approach to teaching the material was impressive. The course structure was well-planned, with each lesson building on the previous one, making it easy to follow along and understand. The instructors were knowledgeable, patient, and supportive throughout the entire program. Thank you for a fantastic learning journey.

So far all the courses in the Google Data Analytics program are great. And they give a lot of links and resources if you want to learn deeper than what the course requires, or if you want to study related topics, follow experts in the field in various social media arenas, or become more familiar with websites or programs that will help advance your career. I have a long list of things to follow up on or learn more about when I'm finished with this certificate.

Great course! The course definitely gave me some understanding of concepts and skills in databases, understanding data types, SQL, Kaggle, and general understanding of data analytics from the prepare stage of the data life cycle. It even goes into how to get your career started with practical and useful information about using social media for networking, finding a mentor, and creating an online presence, which I would have never thought of to be honest.

This was one of the more challenging courses for me so far because my unfamiliarity with SQL. However, the teacher was great. Her calm and encouraging demeanor certainly helped as well as the layout of the course. The initial apprehensive of learning a new skill is so difficult to get over, but once I did, my understanding of SQL increased. I understand there is endless forms of SQL but this was a great foundation building for my professional skill-set.

I learn much more from the course "Prepare Data for Exploration". And I has been only possible due to Coursera. I love my all Coursera family and my fellow who are doing this Course. I suggest you to connect with Coursera in each and every field of life, I guarantied you Coursera will give you a bright future just not in my particular course but in that course also in which you have interested.

Thank you again dear Coursera!

Regards: Ali Hassan Mujtaba

The Good one to go with.

Till now pretty challenging in every aspect considering proper beginer, but anyone can get extra insights in different aspects like ethical points, deal with different-situations is the most annoying at first but gives you the glimps of the real-like scenario, and eventually you will get indulged within and spare some minutes to write some twisted review like this one.

P.S. Great One, time being invested rather wasted.