I recently completed the Google Data Analytics Capstone course and it was an exceptional learning experience. This course stood out for several reasons. Firstly, the capstone project, where I had to complete a comprehensive case study, was the highlight of the course. It allowed me to apply all the knowledge and skills I gained throughout the program to a real-world dataset. This practical experience was invaluable. Secondly, the course content was well-structured, starting from the fundamentals and gradually building up to advanced data analytics techniques. This made it suitable for both beginners and those with some prior knowledge in the field. Additionally, the emphasis on hands-on practice through projects and quizzes reinforced my understanding of key concepts. The quizzes provided immediate feedback, which was beneficial for my learning. Thirdly, the online community of learners, instructors, and mentors was incredibly supportive. I never felt alone during my learning journey. Discussions, forums, and peer feedback added immense value. The course introduced me to practical tools like R and SQL for data analysis, as well as data visualization tools like Tableau. Learning these tools was a game-changer for my career prospects. Lastly, the capstone case study was a challenging yet rewarding experience. I had the opportunity to work with a real dataset, perform data cleaning, exploratory data analysis, and draw meaningful conclusions. The skills I gained are directly applicable to my work. This course has significantly enhanced my data analytics skills, making me a more competitive candidate in the job market. The certificate also boosted my confidence in pursuing a career in data analytics. I highly recommend this course to anyone interested in data analytics or looking to enhance their skills. It's a rewarding journey that will open doors to exciting career opportunities.

This course really tests the knowledge and skills obtained in the previous 7 courses, and basically everything that one has to study and research to complement what was learned in the previous 7 courses of this course. From my point of view, the completion of this capstone has been very valuable. I was very unclear about how to solve a practical problem like this project. The publications of the capstones of my colleagues who have preceded me in this same program helped me a lot, but I could not understand how to solve the "business task" from a quantitative point of view, which I can only do through appropriate metrics. Little by little I realized that the answer could arise by "looking at" what the data under study wanted to show, if I could observe it from different angles, so I had to make many graphs, which included simultaneously in a single graph the greatest number of variables at the same time, and thus have a complete panoramic view of the entire set of possible results. The culminating point happened when I let the data speak for itself and I was only its interpreter. From that moment on I realized what the data was saying out loud with respect to the solution of the "Business Task" and this based on certain metrics. Obviously my skill level as a data analyst corresponds to a person who is just starting out in this career, but after completing this capstone, I feel very proud, in the good sense of this phrase, and trained to solve this type of data analysis at the level where I am today, and this is undoubtedly due to the completion of this project: Google Data Analytics Capstone: Complete a Case Study/Case Study 1: How does a bike-share navigate speedy success?. Without a doubt, I must thank the Coursera staff and the Google staff for everything they do so that I have been able to complete this course satisfactorily.

The Google Data Analytics Capstone was an incredible experience that allowed me to synthesize all the knowledge I gained throughout the certificate program. The case study provided a hands-on opportunity to apply data cleaning, analysis, and visualization skills to a real-world dataset. I particularly enjoyed the emphasis on storytelling through data, which helped me understand how to effectively communicate insights to stakeholders. The guidance provided throughout the capstone was invaluable, and the resources available made it easy to navigate challenges. This project not only enhanced my technical skills but also built my confidence in presenting data-driven findings. Overall, I highly recommend this capstone to anyone looking to solidify their data analytics expertise and create a strong portfolio piece.

I appreciated the case study options given to participants. I found the case study to be quite challenging and am thankful that it was. The case study road map was an amazing guide as it took me step by step through the thought processes necessary to complete each phase of the data analysis process. I completed it as I worked my way through each phase and it kept my focus on the business task. I was able to utilize the majority of tools that were taught in the courses and was also able to reach out via Google to seek answers to questions that other analysts were also seeking, It was a wonderful and sometimes exasperating experience to work through code and determine why I received an error but it was great learning. I look forward to a rewarding career. Thank you Google!!!

Completing the Google Data Analytics Certificate has been an enriching experience. The courses were well-structured, offering a perfect balance between theoretical concepts and hands-on practice with tools like R, SQL, and Tableau. The case studies allowed me to apply my skills in real-world scenarios, and the support from the Coursera community was invaluable. I especially appreciated the practical exercises and the emphasis on key data analysis concepts like data cleaning, visualization, and reporting. The final capstone project helped me create a comprehensive portfolio that I am proud to showcase to potential employers. I highly recommend this certificate to anyone looking to break into the field of data analytics or expand their current skills. #GrowWithGoogle

This course was the summary of all that we studied before, and it brings all concepts and hands-on skills to the table, It is great, here we applied what we have learned to solve problems using data step by step Thanks for google for this course I already started in other programs and specializations which are Data Analysis using Excel(specialization 3 courses) and I've finished two of 3 courses Data visualization and dashboarding with Tableau(specialization 5 courses) Business data analytics (specialization) Oracle sql for data analysis (specialization) I've finished one course of the specialization Once I finished the above courses I plan to study Python for scripting and automation R for data analysis Google opened the door for me Thanks to Google

This course not only pulls together everything introduced in the previous data analytics certificate courses but also gives the student the opportunity to apply them in a job seeking manner. At 60 years old I have interviewed for many jobs and found the advice provided in this course 'real world'. Perhaps a video dealing with anxiety is the only thing missing. The videos' interviewee was too calm and collected, too on the mark in my experience. Like a firefighter going into a blaze, interviews require practise, practise, practise, to dampen the effects of all the brain's alarm bells going off all at once. You may be skilled with SQL and R, but faced with your first face to face interview question suddenly everything goes blank.

This course is a great gateway into the world of Data Analytics (DA). It is well presented and organized with great instructors and presenters who give their professional and personal experiences as part of the lessons. This "personal" touch helped me, and I'm sure other learners, to feel like they could be successful in this field and made it less intimidating. One area I would improve is to give more opportunities to dive deeper into Tableau, SQL, and R and to give learners more instruction as to how to prepare, clean, organize, analyze, and visualize data using each of these software's. Thank you Google for creating a launching pad for people like me to dive confidently into this space!

"I recently completed the in Data Analytics, and I am thrilled with the valuable insights and skills I've gained throughout the program. The course structure was well-designed, providing a comprehensive understanding of data analysis techniques, tools, and real-world applications. The hands-on projects and practical case studies allowed me to apply theoretical concepts in a meaningful way. The instructors were knowledgeable and supportive, offering clear explanations and timely feedback. Overall, this course has equipped me with the essential skills to excel in the field of data analytics, and I highly recommend it to anyone looking to enhance their expertise in this rapidly evolving field."

The Google Data Analytics Capstone project was an incredibly valuable experience that allowed me to apply all the skills I’ve learned throughout the program. The case study was well-structured and challenging, pushing me to think critically and apply my knowledge in a real-world scenario. The resources and support provided were excellent, and the opportunity to create a comprehensive portfolio piece was invaluable. I appreciated the focus on practical, hands-on learning and the emphasis on creating work that is both technically sound and presentable. This capstone has significantly boosted my confidence in my data analytics abilities and prepared me for future opportunities in the field.

This course was a great opportunity to review familiar material and learn new skills! From a beginner's perspective, the course did a great job introducing general concepts before diving into specifics. The resources (links, readings, videos) were very helpful as well! I would definitely taking this course whether you're interested in Data Analytics or not. The information packed into this course also covered general stuff like interview prep, resume help, job searching, etc. You really could set your pace. They recommend at least 10 hours a week. Since I am unemployed at the moment, I was able to complete the course in 3 months as oppose to 8. FIVE STARSS!!!!

I am incredibly grateful for the transformative experience provided by the Google Data Analytics Capstone. This hands-on, real-world case study exceeded my expectations, equipping me with powerful skills in data cleaning, visualization, and interpretation. The program’s structure, resources, and support helped me build confidence as a data analyst, and I feel more prepared than ever to tackle complex data challenges. It would be an absolute honor to bring this knowledge to Google, contributing to innovative projects and learning from such a forward-thinking team so I look forward to joining your Team. Thank you for this incredible journey—it has truly been inspiring!

The Google Data Analytics Capstone is a comprehensive and well-structured course that provides a hands-on approach to data analytics. The case study aspect of the course is particularly helpful, as it allows students to apply their knowledge and skills to real-world problems and situations. The course material is well-organized, easy to follow, and provides a thorough understanding of the data analytics process, from collecting and cleaning data to creating visualizations and drawing insights. The instructors are knowledgeable and provide valuable feedback and support. Overall, I highly recommend this course to anyone interested in data analytics and data science.

I've gained more skills and knowledge since day 1 when I started this course - I've some knowledge from before but not all the understanding about Data Analyst role but now is more clear and I liked, even the course was not easy, especially R where I found some challenges but after all was very interesting. My mind is now more open to understand how analysts dig into the data and get results and recommend changes. I'm glad to be able to complete this course and will see if there is something else I would be interested to learn more now that we need to improve skills to not be left behind with this technology changing so fast. Thank you Google, Thank you Coursera!

I absolutely love the diversity in the presenters for each of these courses in the program. The presenters were very knowledgeable but were excellent in breaking down the information in a beginner-friendly manner. There was so much content, but possible to learn and understand. I really loved the interactive lessons that gave the learner the plenty opportunity to practice the new content within each lesson. I really enjoyed this program that helped me to learn what I needed to learn without feeling overwhelmed. It was also extremely helpful that the design of the new information was always presented in a manner that real-world applications.

This is an exceptional course that will keep you constantly motivated to want to learn more. The courses are design in a very scalable and are business focus and practical at the same time. The presenters are seasoned experts with thorough practical understanding of the courses and sincere appreciation for the challenges newbies are most likely to face when learning new languages. I bet you will find their enthusiams contagious - even through the video! Use case explanations on how to handle Big data and work efficiently are provided - as if you are on the Job - your confidence and expertise will improve exponentially.

I have finished the course, with some personal difficulties and it took a little more time than I had estimated, but still today I am celebrating and looking forward to continue in my next level, I hope to start soon with the advanced Data Analytics course. Let's go to the next level. Soon we will be working on it. This is an excellent course for those who want to go to another level with the data I have learned not only to organize the information but I have also learned the value of the data and the importance that can have our support to businesses, medium, small and large. Armando G.

This course is good although it was basic for me as I have good work experience, not as a Data Analyst, but working in a technical support call center. I loved that it's very connected to the job market and has videos on networking and creating your online presence and portfolio. I didn't like the parts that teach technical material though. There are a lot of videos and texts to read while I think that technical material should be learned by doing and by repetition. I also did a Python course with datacamp which teaches this part of the material much better in my opinion.

I went into the capstone project a bit skeptical, not expecting too much, but it was honestly quite helpful at utilizing most of the things we'd learned and forcing me to learn many new things. Not to mention it's the first chance to figure out what your start-to-finish process might be for a real analytics project. Also, all the complementary tools and advice that the certification, and this course in particular, provide to help in actually landing an analytics job are more than I ever expected and they raise my confidence that I can actually get one in the near future.

A very comprehensive course, especially good for beginners into the world of data analytics! There is never enough time to cover everything, so I would suggest if you're interested in data analytics, pair this course with some other courses in applying basic statistics in R/Python and taking a course in using Python (R is only covered). The need to be fluent in multiple languages, familiar with statistical concepts and different data visualisation approaches will be something you'll come across more frequently in your data analytics career journey.

In today's tech-driven era, probability remains invaluable for guiding decisions in various domains, including internships and placement drives. Assessing the likelihood of securing positions or opportunities enables students and professionals to make informed choices, optimizing their chances of success. Whether relying on objective data such as past placement trends or subjective factors like personal strengths and preferences, probability aids in navigating career paths effectively, ensuring alignment with individual goals and market dynamics.

Amazing course and not very hard! There are definitley things that will challenge you (like coding) but I graduated from college less than a few months ago. I struggled to find a job but as I started applying I noticed that a lot fo places like to see that you have this certificate by asking if you hae experience with Google Analytics. I started taking this and I managed to get a job about 3/4ths of the way in. Not to mention, its cheap and you can realistically crush this in like a month and a half if you study like 2-3 hours a day.

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.

I completed this 8 course data analytics program primarily intended for Junior Data Analyst. I was curious how program was setup and what skills were taught, preparing for a career within data analytics. The program is well designed around keywords of Ask, Prepare, Process, Analyze, Share and Act and would gladly recommend it as a stepping stone into the field of analytics. Reflecting from senior experience level, I was still able to pick up new perspectives and good knowledge sources which complement my current skillset.

Excelente curso. !!!

El caso de estudio es una verdadera aventura!!! Manejar una data de mas de 5 millones de datos para obtener información detallada de cada pregunta semilla que acompañó a la interrogante de negocios, es algo que supera la imaginación. Los datos comienzan a contar una historia y a dar respuesta a necesidades de los interesados y al problema de negocio. En ese transitar, los datos comienzan a transformarse en tablas, indicadores, gráficos con información valiosa para la toma de decisiones. Lo recomiendo.