Great course that provides a good big picture of data analysis and related concepts, as well as practical experience with some important tools. The best aspect of the course is earnest effort on part of the team to provide a positive and effective way to help one throughout the course. I find the distribution of the course as well as the time windows and difficulty levels of the assessments as very appropriate. As the course tends to provide a big picture, I find it vital on part of the learners to practice or revise some concepts as the course presents them, especially if they are not very good at forming mental images and memorizing.

This course is an insightful one for anyone who's just kick starting a career in data analysis. This course has equipped me with the foundational knowledge about who a data analyst is, basically what data analysis entails and various career paths in data. I've learnt how to ask effective questions in identifying a business problem with the use of the five whys that further helps to get answers to the root of the problem which would then guide me in choosing the kind of data I should gather with fairness. Also, I learnt about data visualization using Tableau and how I can use spreadsheet to record, sort and analyze my daily activities.

Well, let me welcome myself fully to the world of data,the course went beyond my expectations.

im so happy to be a part of this course,i must say im so impreesed.

There is more to the course but starti g like this i know i will overcome all challenges on my way as regard this course. As data analytics is concerned,im so proud im not a novice anymore.

Having learnt the phases of data, data life cycle, key data analytical tools, gut instinct, setting up spreadsheet, query languages and data visualizations among others.

Also ,discovering many career opportunities in data analytics and industries data is relevant soothes the soul to know.

It is an interesting course which I appreciate. I never expect at the time of start that the course seek a lot of engagement and commitment. But a couple of hours needed to spend to follow in a manner of serious engagement and commitment. Videos, reading materials, learning log templates its questions and required responses, quizzes and their assignments make me really astonished and love it. The life experience that encourages recording and reflecting on a table format was amazing for because I observe them now and then but I didn’t visualize after recording I found it vividly my data in terms of time, cost, and contact and so on.

The collecting, processing, and organization of data in order to draw conclusions, make predictions, and drive informed decision-making is known as data analysis. It contains six steps, which are as follows: inquire, prepare, process, analyze, share, and act. The following is a summary of each process phase. Data analytics includes data analysis. It appears to be a word play, doesn't it? Apparently not; it has its own significance. Data analytics encompasses a larger range of concepts and definitions than data analysis. It is a data science. As a result, it encompasses data analysis, data ecosystems, and machine learning. Thanks.

I really learned a lot from this course. It gave me the chance to reflect on myself from a analytic point of view. I was able to think back on some of the situations I've experienced in my life and now realized, If I had applied some analysis to the life choices I've made, I probable would've had a better outcome. This course has also taught me to approach problems systematically. Using the 5 why's is a good starting point. The beautiful thing about this course is that you can take this knowledge with you throughout the rest of you life. I enjoyed this course. Looking forward to the next one. Thank you Google / Coursera.

I loved the whole content and all Google's wonderful staff. Thanks Coursera för this chance to let me change my life into something where i'm getting so passionate for :) I have learned by now and I kept in my mind what Cassie -Decision Intelligence for Google Cloud said: The excellence of an analyst is speed. How quickly can I surf through vast amounts of data to explore it and discover the unknowns? . When you're considering data science and you're choosing which area to specialize in, I recommend going with your personality.

Yes this is my personality and I will keep challenging myself to achieve my goals :) Keep it up people!

One word. WOW. This course really elevated, overwhelmed and encouraged me for my future aspirations. I come from a non technical background with little or no knowledge in Data Analysis, or so I thought. This course provided me all the boost I needed for me to become a Data Analyst. The methodology was really good and systematic, which I loved the most. Everything is step by step and one by one. Before you know it, you will actually end up with spending hours reading, watching and researching in this course. I hope on becoming an Analyst myself and this course will always be a part of me. Thank You Google and Thank You Coursera.

The course is a great introduction to the world of data even for people who don't have a technical background.

It gives alternative resources learners can read to get a deeper and better understanding of the subjects of the course.

We also received a glimpse of hands-on training about how we will have to work.

I especially liked the job related part as it provides usable, real-life information.

I highly recommend this course to anyone who likes data because they will love it after the course. Tony, the main lecturer of this course was so motivating that sometimes I didn't stop learning for that day only because of his speech.

"Foundations: Data, Data, Everywhere" on Coursera is a comprehensive course that provides a solid grounding in the fundamentals of handling and analyzing data. The course covers essential topics such as data collection, cleaning, visualization, and basic statistical analysis techniques. With engaging lectures and hands-on exercises, learners gain practical skills applicable across various industries. The instructors' clear explanations make complex concepts easy to understand, making it suitable for beginners in data science. Overall, it's an excellent starting point for anyone looking to dive into the world of data analytics

I have taken many online courses, but this is is best I have seen.

I love the even mix of reading and video lessons which help get rid of boredom, frequent flashbacks which help me remember key concepts, the learning log which help me reflect on and apply the things I have learned, discussion prompts which give me an opportunity to share my knowledge and thoughts with fellow learners, the in-video questions, practice quizzes and graded quizzes which enable me to test out my knowledge. The course facilitators are friendly, throw in short jokes to get rid of boredom and always use encouraging and motivational words and tone.

"I recently completed This course on Coursera, and it was an excellent learning experience. The course content was well-structured, starting from the basics and gradually moving to more advanced topics. The instructors explained complex concepts in a simple and easy-to-understand way, making it perfect for beginners. The hands-on projects and real-world examples helped me gain practical skills in data analysis. This course has given me a strong foundation in data analytics, and I feel more confident in pursuing a career in this field. Highly recommend it to anyone looking to start or improve their data analytics skills!"

The only thing that I saw that wasn't correct was in the one MS Excel assignment. In this assignment we had to basically make additional sibling names and sexes and then calculate the total number of siblings that we had (ex. brother, sister) The formula that was given was =c2+c3+c4 (in my case because i just made up two other siblings). i got an error message #VALUE! that it wouldn't work. The question asked how many, the #2 of brothers and sisters were shown in the spreadsheet. I then tried =counta(c2:c4) it then gave me the answer for the question 3. Just wanted to let you know. Thanks, love the course so far.

The Foundations: Data, Data, Everywhere course is an excellent starting point for anyone looking to expand their career in the data-driven world. As someone who believes in lifelong learning, I found this course to be a valuable resource. The comprehensive content provides a solid understanding of foundational concepts, making it accessible for learners at all levels. Whether you're a beginner or looking to enhance your existing knowledge, the course offers a structured approach to navigating the vast landscape of data. Highly recommended for those embarking on a journey of continuous learning and professional growth!

For learning the fundementals this course is great. I knew that SQL was a coding lanuage however I didnt know the first thing about it. The instructor for this course helped break things down to a level that a novice can understand easily.

My advice is to take notes during the video portions. Pause the videos to write things down wether in a separate google document or on paper in front of you. The information that is provided is extremly helpful and is reflected on the tests. you dont realize how much you are learning when you are going through this course. I feel extremly prepared for the next module in the program.

Foundations: Data, Data, Everywhere provides an excellent introduction to the pervasive role of data in various sectors. The course offers a comprehensive overview of how data is used in real-world scenarios, from improving business processes to making informed decisions. The examples are relevant and the explanations are clear, making complex concepts accessible. I found the focus on fairness and the ethical implications of data analysis particularly valuable. Overall, it’s a well-structured and insightful course that I would highly recommend to anyone looking to understand the foundational aspects of data analysis.

This is the first course in the Google Data Analytics Certificate. These courses will equip you with the skills you need to apply to introductory-level data analyst jobs. 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.

if you are in the field of data science or data analytics ,do this foundation course you will get a new insight about what really this field has to offer ,what it is actually talking about and how will it has been used worldwide . so i would strongly recommend this course for first timer in this field. this is very well structured basic programme i like the video lecture, and the way every little things have been covered and explained in easy manner. and all the quizes,case study, and learning logs have been again great to fully understand the topic well and helps to strengthen you weak areas . Loved the course!!

For impatient folks like me who would prefer to dive headfirst into the practical aspects of analytics, I would say take your time with this first course in the program; you will find it completely worthwhile!

The course layout reinforces what you might already know and conditions you to think like a professional regardless of your experience with data. To get the most out of the course, make sure to participate in the forum discussions and all optional reflections; you will be pleasantly surprised about what these can uncover, especially for data veterans who are likely to dismiss the exercises as too basic.

Many times, I opt for some course, which are taught in English. I don't find problem in understanding in English. but the problem arise for me , is to depict sometimes , what they have just said. Because sometimes, tutors voice accent is a little fuzzy. and for that i had to watch whole video watching at subtitles, and just because of this problem I start to loose interest in course. But , but , but , In this Google's Course, all tutor's voice was so clear , their way of teaching was too friendly, like they were not speaking formal words time to time , they explained everything very simply. And I loved this :)

I recently completed the "Foundations: Data, Data, Everywhere" course, and I must say it was an enriching and insightful experience. "Foundations: Data, Data, Everywhere" is a highly recommended course for anyone interested in understanding the fundamentals of data. It caters to learners of various levels and backgrounds, making it accessible and valuable for a wide audience.

I would like to express my gratitude to the instructors and course organizers for offering such a comprehensive and engaging learning experience. I look forward to applying the knowledge gained from this course in my future endeavors.

Since I have been working in different industries and positions along my professional career, I found this a very easy course. But very interesting nonetheless. Two notes: 1) I have never worked with SQL and I haven't figured out in this course on whether the following courses will teach me SQL or if I have to learn it by myself. 2) One of the questions on the last wrap-up assignment seemed wrong to me. We had to say if =average (E:E) was the formula we had to use. I said it was false because it should have been =average(E2:E39). Maybe, you want to change this so people like me don't get it wrong. Thanks!

The Google Data Analytics Professional certificate is a valuable asset for anyone looking to gain a solid understanding of data analytics. The coursework is well-structured and covers a wide range of topics, including data visualization, SQL, and statistics. The material is presented in a clear and concise manner, making it easy to understand and follow a long. The quizzes and projects provide an opportunity to apply the concepts learned, which helps solidify the material. Overall, I found the certificate to be a great learning experience and I would recommend it to anyone interested in data analytics.

The Google course on Introduction to Data Analytics exceeded my expectations. The content was well-structured, catering to both beginners and those with some background. The real-life case studies and hands-on exercises were invaluable, offering practical insights into data analysis. The instructors were engaging, breaking down complex concepts into understandable bits. The interactive quizzes and assignments solidified my understanding. This course is a fantastic stepping stone for anyone wanting to grasp the fundamentals of data analytics, equipping learners with skills applicable in various fields.

It is an excellent course for building your initial foundation of learning data analytics. I've learned a lot and can understand the role and responsibility of this career in the business. For who are interested in to change a career path, this course will help you understand being data analysts and help you considering to go on pursuing this job as your new career. Besides this course, I recommend learners to apply studying other courses that involve in using tools and programs like spreadsheet, Python, R program, Tableau so you can build your strong skills that are commonly required in job search.