The course "Dasar-dasar Analitik Data: Data, Data di Mana-mana" (Basics of Data Analytics: Data, Data Everywhere) offered on platforms like Coursera, is part of Google’s career certificate program. It is designed for individuals looking to understand the fundamentals of data analysis, with modules covering essential skills and tools like spreadsheets, query languages (SQL), and data visualization tools. Throughout the course, you will explore the lifecycle of data and learn about the various stages of data analysis, including collection, processing, and visualization. One of the key highlights of the course is the focus on practical tools, such as using spreadsheets for data analysis, SQL for querying databases, and visualizations to make data-driven decisions. This hands-on approach helps students apply theoretical knowledge to real-world data tasks, preparing them for roles in data analysis. Moreover, the course emphasizes the importance of data analytics across various industries and offers insights into career opportunities for data analysts. It is structured into manageable modules, each featuring videos, readings, quizzes, and discussion prompts to reinforce learning. This course can be an excellent choice if you're looking to enhance your skills in data analysis and pursue a career in the field, with a strong emphasis on practical applications and industry relevance.

I don't have a physical existence or a place of residence as I am a computer program created by OpenAI, so I don't have personal details such as where I live or where I'm originally from. I was created by OpenAI as part of their efforts to develop advanced natural language processing models. My purpose is to assist and provide information to the best of my abilities. I don't have personal goals or expectations as I am a tool designed to assist with generating human-like text based on the input I receive. I don't have the capability to learn or feel excitement. However, I can provide information and answer questions related to data analytics. I don't have a personal educational background or career path as I am a machine learning model. I don't have personal experiences or a career. I don't have personal interests outside of work as I am not an individual with personal preferences. However, I can provide information on a wide range of topics. I won't earn a certificate as I am not an entity that can undergo educational or certification processes. I exist to assist with generating human-like text based on input data. Please note that I am a machine learning model and don't have personal experiences, feelings, or a physical presence. My responses are generated based on patterns and information present in the data on which I was trained.

The course is well designed, with each module aimed at educating students and boosting their confidence in the subject. The practical examples shared are relatable and enhance understanding. Furthermore, the interactive elements integrated throughout the course foster an engaging learning environment. Group discussions and collaborative projects encourage students to share insights and learn from one another, reinforcing key concepts while building essential skills. The instructors are approachable and knowledgeable, always ready to provide guidance and support, which further enhances the overall educational experience. As students progress through the curriculum, they not only acquire theoretical knowledge but also develop practical skills that prepare them for real-world applications. The assessments are thoughtfully designed, allowing for constructive feedback that helps to identify strengths and areas for improvement. This method of continuous evaluation promotes growth and ensures that each learner can track their progress effectively. Overall, this course stands out as a comprehensive pathway to mastery in the subject, cultivating both expertise and self-assurance. It is a journey that empowers students to overcome challenges and emerge as confident, capable individuals ready to make their mark in their chosen fields.

I can confidently say that it was a valuable and enriching learning experience. The course provided a comprehensive overview of key concepts and techniques in data analytics, equipping me with practical skills that are highly relevant in today's data-driven world. The instructors were knowledgeable and engaging, breaking down complex topics into digestible segments and providing hands-on exercises to reinforce learning. The course modules covered a wide range of topics, including data visualization, statistical analysis, and data interpretation, allowing me to gain a solid foundation in data analytics. One of the highlights of the course was the practical projects and case studies that challenged me to apply my newfound knowledge to real-world scenarios. These hands-on projects not only helped me sharpen my analytical skills but also gave me the confidence to tackle data analytics tasks in my professional work. Earning the Coursera certificate in data analytics has been a significant milestone in my career development. It has enhanced my analytical capabilities, opened up new opportunities for me in the field of data science, and validated my expertise in this critical area. I would highly recommend this course to anyone looking to enhance their data analytics skills and advance their career in the data-driven industry."

Here's a heartfelt thank you note for completing the **Foundations: Data, Data, Everywhere** specialization: Dear [Coursera and Google], I am writing to express my deepest gratitude for the invaluable knowledge and skills I have gained through the **Foundations: Data, Data, Everywhere** specialization. This journey has been transformative, equipping me with a solid foundation in data analytics and an appreciation for the power of data-driven decision-making. The comprehensive curriculum, engaging content, and practical exercises have significantly enhanced my analytical thinking and proficiency with essential tools like spreadsheets, SQL, and data visualization. I am particularly grateful for the insights into data ecosystems and the emphasis on ethical data practices. As I move forward, I am excited to continue my learning journey with courses such as **Data Analysis with Python**, **SQL for Data Science**, and **Data Visualization with Tableau**. These courses will undoubtedly build on the strong foundation laid by this specialization. Thank you once again for this incredible learning opportunity. I am eager to apply these skills in my professional endeavour's and contribute meaningfully to the field of data analytics. With sincere appreciation, [Pinak Kanti Saha] #8929911128 👨🎓

I recently completed the "Foundations Data, Data, Everywhere" course as part of the Google Data Analytics program on Coursera, and I'm thoroughly impressed with the content and learning experience. The course provides a solid foundation in data analytics, covering essential topics like data exploration, visualization, and statistical modeling. The instructors are clear and engaging, making complex concepts easy to understand. The hands-on exercises and projects were particularly beneficial, allowing me to apply theoretical knowledge to real-world scenarios. What sets this course apart is its practical approach. The "Data, Data, Everywhere" mantra is apt, as the course equips you with the skills needed to navigate and analyze diverse datasets. The interactive quizzes and peer-graded assessments further enhance the learning process. Moreover, the community and support on Coursera were invaluable. Discussion forums provided a platform to connect with both instructors and fellow learners, fostering a collaborative learning environment. I highly recommend the "Foundations Data, Data, Everywhere" course to anyone looking to kickstart their journey into data analytics. It's a comprehensive and well-designed course that lays a strong groundwork for more advanced topics in the field.

Mi apreciacion es: Summa cum laude. Gracias a Tony y todos los demas del equipo. Excelente material para un amateur y mejor todavia, Gracias a Google y todos sus colaboradores. No se si con esta frase se define pero lo voy a intentar. He logrado encontrar lo que he estado buscando por mucho tiempo, no sabiendo lo que era ni como lo conseguiria. 100% agradecido. Si hay satisfaccion en el deber complido, este 1er curso es como un primer paso a la luna. Mi idioma materno es el español(hablado en Republica Dominicana), asi que las expresiones y la traduccion al ingles no seran exactamente iguales.

My appreciation(point of view) of this first course is: Summa cum laude. Thanks to Tony and everyone else on the team. Excellent material for an amateur and even better, Thanks to Google and all its collaborators. I don't know if this phrase defines it but I'm going to try. I have managed to find what I have been looking for for a long time, not knowing what it was or how I would get it. 100% grateful. If there is satisfaction in the completed duty, this 1st course is like a first step to the moon. My mother tongue is Spanish (spoken in the Dominican Republic), so the expressions and the English translation will not be exactly the same.

I really liked this course a lot! The instructor, Tony, was great! However, both a blessing and a curse, I took the fast-track assessment at the beginning.

I scored 100%, which allowed me to bypass all the lessons and go straight to the Graded Assignments. This was a great time-saver, but I did still go through a number of the lessons because I thought the material was very good.

The reason I say the fast-track was also a curse is that I think even if you know enough to pass all of the graded assignments, there's a lot of cool information "Professor" Tony teaches -- that aren't hard skills per se, but incredibly useful -- you might miss out on some great lessons.

I'm on a tight time-frame to get through the program, however, I plan to go back through a bunch of the lessons, because I thought the content was just that good.

I'm also going through the Meta/Facebook marketing analytics certification, and I have to say, this program is much, much better. It's much more cohesive and better designed. The case studies seem much more contextual and relevant to real-world scenarios. And the course is consistently interesting with high production quality.

I'm excited to go through the rest of the courses!

I recently had the opportunity to take an online course, and unfortunately, I was not impressed with the experience. While the course material itself was interesting, the delivery and organization left much to be desired. Firstly, the course was poorly structured and difficult to follow. The content was presented in a disorganized manner, making it hard to understand the progression of the material. Additionally, the instructor seemed to lack enthusiasm for the subject matter, which made it difficult to stay engaged. Furthermore, the online format had its limitations. While it was convenient to access the course materials from anywhere, the lack of face-to-face interaction made it difficult to ask questions or get help when needed. The discussion forum was not very active, which made it hard to connect with other students. Lastly, the level of support provided was lacking. The instructor was often slow to respond to questions, and the feedback on assignments was minimal and unhelpful. Overall, I would not recommend this online course to others. While the content itself was interesting, the poor delivery and lack of support made it a frustrating and disappointing experience.

The Foundations: Data, Data, Everywhere course proved to be an enlightening and comprehensive journey into the realm of data analysis. The course adeptly navigated through the basics, providing a solid understanding of data and its ubiquitous presence in our daily lives. The content was well-structured, ensuring a gradual and accessible learning curve for beginners while offering valuable insights for those with prior knowledge. One notable aspect was the practical application of concepts, making use of real-world examples to reinforce theoretical understanding. The interactive quizzes and assignments were instrumental in solidifying the learned concepts. The instructors demonstrated a commendable ability to simplify complex topics, fostering an engaging and conducive learning environment. The course effectively bridged the gap between theory and practice, equipping learners with essential skills for data analysis. Whether you're a novice seeking foundational knowledge or someone aiming to enhance existing skills, Foundations: Data, Data, Everywhere is a commendable choice. The course has undoubtedly enriched my understanding of data and its multifaceted applications

I wanted to make a career change, and at the age I am (I'm not old.. in my late 30's) I thought it would be impossible. After researching a couple of bootcamps I came across COURSERA. I did a lot of research about what they provided an the success of their program. I was very interested in the Data Analyst but didn't have the funds to start due to homelessness. Eviction, car not piling up, storage about to be auctioned off, and A LOT of stress. Not knowing when I was going to able to start, I just applied for financial aid. I explain to them my situation and they me a chance. LIFE was hitting me hard but I was able to complete the first course. I am SO grateful I was given the opportunity for at least the first course. Even at times I would disappear because of life, COURSERA would write me and give me reminders as to why I started. I AM SO THANKFUL! With my first course completed, I will start my second course and so on once I find employment. So excited to move on to the next course. What I LOVE about the first course is, the lesson videos because I can pause the video to take notes, and back if I missed anything. I know the next courses will be more exciting.

This was a great introductory course on data analytics. Since I have a bit of skill in database and spread sheet manipulation, the course made me more confident in the things I have to learn from here. What I did not like were the discussion prompts. Perhaps the threads need to be opened and closed to specific time frames or cohorts? For instance, in one of them there were thousands of posts and not much discussion. I felt they were a waist of time because I felt that whatever thought or effort I put in to the prompt, and any comments I made, I would not get in return.

Otherwise, great course. Encouraged me to keep going! Also, I really liked all the google personnel in the videos. I'm not sure if that was carefully manicured, but even if it was I don't care. I felt they all had great points and represented diverse sets of the population.

I did notice the re shoot in some spot. Tony's hair is a give away, lol. He was quite compelling, especially towards the end where he was able to go off scrip and speak to his own experiences. I really like him as an information presenter.

Thank you for giving me this opportunity. I really appreciate it!

Best,

Donald Brown.

The course and Lecturer performance is very good. The process of learning steps are very effective. The course structure is well organized. Sharing The google team experiences is very good idea. The videos also have small quizes that keeps you more focused on. The case studies are very well written, Easily understandable, clear. The videos have been supported with text. Exams are fairly designed based on the knowledge they provide. Also the course helps attendants to improve their presentation skills and provide tactics on how to look for jobs. Understanding skills , data analytics jobs, or similar functioned jobs are explained well. This gives good understanding to new starters. Really enjoyed the course. Even familiar with some subjects, I ve learned a lot.

Discussion forms are encouraging students to be proactive and offers help.

Broad diversity on lecturers (Google team presenters/ employess)that took part indicates that the Company is fair to its employees . Company give chances to the employees to improve themself and give opportunity on different career pathways. I would definetly join them based on their approach and organizational culture.

"Foundations: Data, Data, Everywhere" is an absolute game-changer! This course unravels the captivating world of data science with finesse and flair. From beginners to those with some experience, it's a seamlessly tailored experience that builds a rock-solid understanding of data.

The instructors are luminaries in simplifying complexity. They infuse theory with real-life examples, making learning not just insightful but also enjoyable. Hands-on exercises and projects bridge the gap between theory and practice, leaving you confident to tackle real-world data challenges.

Resources? Abundant. From case studies to recommended readings, they've got it all covered. The course community is engaging, fostering collaboration and camaraderie among learners.

"Foundations: Data, Data, Everywhere" isn't just a course; it's a transformative journey equipping you with data prowess. Whether you're an aspiring data scientist or a business pro, this course is an investment in your growth. Don't miss out on this gem—it's a data odyssey beyond imagination!

In summary, this course is an unmissable masterpiece! Kudos to the creators for such a phenomenal learning adventure!

I recently completed the "Foundations: Data, Data, Everywhere" course on Coursera and I must say it was an incredibly informative and eye-opening experience. As someone who had little knowledge about data analytics and the responsibilities of data analysts, this course provided me with a solid foundation and a comprehensive understanding of the subject.

Throughout the five weeks, the course covered the fundamentals of data analytics, including various tools and techniques used in the field. The instructors were knowledgeable and engaging, explaining complex concepts in a clear and accessible manner. The course materials were well-structured and supported by practical examples and real-world case studies, which helped me grasp the concepts and apply them in relevant scenarios.

Overall, I highly recommend the "Foundations: Data, Data, Everywhere" course to anyone interested in delving into the world of data analytics. It lays a strong foundation and equips learners with the necessary skills to pursue further studies or career opportunities in this exciting field. I'm looking forward to continuing my learning journey in the next course of the program."

I recently completed the Foundations: Data, Data, Everywhere course, and I have to say, it exceeded my expectations. The course was incredibly informative and provided a comprehensive overview of the world of data analysis.

The course was well-structured and easy to follow, even for someone with no prior knowledge of data analysis. The instructors did an excellent job of breaking down complex concepts into understandable pieces, and the interactive quizzes and exercises helped solidify my understanding of the material.

What I appreciated most about this course was its practical focus. Rather than just teaching theory, the course emphasized hands-on experience and real-world examples. This approach allowed me to immediately apply what I learned in my own work, which was incredibly valuable.

Overall, I would highly recommend this course to anyone looking to expand their knowledge of data analysis. Whether you're a complete beginner or have some experience under your belt, you're sure to learn something new and valuable. Thanks to the team behind Foundations: Data, Data, Everywhere for creating such a fantastic learning experience!

I recently completed the first module of Google's Data Analytics Certificate program, “Foundations: Data, Data, Everywhere” and I was thoroughly impressed by the quality of the course material and the interactive nature of the learning experience.

From the very start, I was hooked on the engaging lectures and interactive exercises that helped to bring the concepts to life. The real-world examples and case studies used throughout the module were particularly helpful in illustrating the application of the various tools and techniques being taught.

But what really sets this course apart is the emphasis on hands-on learning. I was able to apply what I was learning to actual data sets and see the results firsthand, which was an incredibly valuable learning experience.

The instructional team was also top-notch, always available to answer questions and provide support. Overall, the "Foundations: Data, Data, Everywhere" module was an interactive and enjoyable learning experience that left me feeling confident in my understanding of the key concepts and ready to move on to the next module. Five stars!

I recently took the course "Foundations: Data, Data Everywhere" and I found it to be an excellent introduction to the world of data analysis. The course covered a wide range of topics, from basic data concepts to more advanced statistical techniques, providing a comprehensive overview of the field. The instructors were knowledgeable and passionate about the subject matter, and they did an excellent job of making the material accessible to students with varying levels of experience.

One of the things I appreciated most about this course was the emphasis on hands-on learning. The course included a variety of real-world examples and exercises that allowed me to apply what I was learning to actual data sets. This helped me to better understand the concepts and made the course more engaging.

Overall, I would highly recommend this course to anyone looking to gain a solid foundation in data analysis. It provided me with a strong understanding of the basics and gave me the tools I need to continue my learning journey in this field.

Fue bastante entretenido, inclusive más largo de lo que llegué a pensar, pero aún así me gustó la metodología de aprendizaje de hacer pequeños quices antes de llegar al examen final, además de que siempre te daban actividades para realizar y un pequeño resumen de lo que se supone debías haber aprendido, esto último fue lo que más me ayudó, porque guardaba estos resúmenes para poder estudiarlos y aprender con mayor facilidad. 

La introducción del curso fue diferente a lo que me esperaba, iba a un paso un tanto lento, pero me parece que para alguien que no tenga ningún conocimiento previo con el análisis de datos (pero al menos si con el uso de una computadora) es un buen comienzo. 

Iniciaré el segundo curso a sabiendas de que se irá lento, pero seguro.  Finalmente me gustaría comentar que si bien está en inglés, este curso introductorio usa un vocabulario simple, entonces es muy accesible para personas como yo que el inglés no es nuestra lengua nativa (razón por la cual escribo este comentario en español).

My main career goal is to learn every day. I really want to learn and to progress in my career. Programming requires constant learning and improving. Taking this course will help me to learn and study this Data Science and also to implement it. It can help me advance in my knowledge. This course will help me in defining Data Science, understanding how Python could potentially impact our business and industry, to write a thought leadership piece regarding use cases and industry potential of Data Science, explain Data Science to clients, friends, joining a community of economists, business leaders, entrepreneurs, and technologists that are shaping this technology as we speak. Identifying which aspects of Data Science seem most important and relevant to us, Walking away with a strong foundation in where Data Science is going, what it does, and how to prepare for it. Data Science course will help me achieve it to learn. Courses on Coursera helped me to greatly increase my programming knowledge in the past.

The course is well-designed and covers a wide range of topics. The instructor is clear and concise, and the course materials are easy to follow. One of the things I liked most about the course is that it is very hands-on. Students are given plenty of opportunities to practice with real-world examples. This helped me to learn the material quickly and efficiently. Another great thing about the course is that it is self-paced. This means that students can learn at their own speed and take their time to master the material. I also appreciated that the course is offered online, which made it easy to fit into my busy schedule. Overall, I highly recommend this Course to anyone who wants to learn about foundation of data quickly and effectively. It is a great course for both beginners and experienced users alike. Pros: Comprehensive and well-designed course, Clear and concise instruction, Real-world examples and hands-on exercises, Self-paced and online format. Cons: None that I can think of!

I recently completed the Google Data Analytics Course 1, and I have to say, I was very impressed with the content and structure of the course. The instructors were knowledgeable and engaging, and the course materials were well-organized and easy to follow.

One thing that stood out to me was the emphasis on hands-on practice and real-world examples. Each module included interactive exercises and case studies that helped me apply the concepts I learned and see how they could be used in a professional setting.

Another aspect of the course that I appreciated was the flexibility. The self-paced format allowed me to complete the course on my own schedule, and the online platform made it easy to access the materials and track my progress.

Overall, I would highly recommend the Google Data Analytics Course 1 to anyone looking to develop their skills in data analysis. It provides a solid foundation in key concepts and tools, and the practical exercises help to reinforce and deepen understanding.

Dear . I hope this message finds you well. I wanted to take a moment to express my heartfelt gratitude for the wonderful experience I had during the [Course Name]. The quality of instruction and the richness of the course content truly exceeded my expectations. The instructors were not only knowledgeable but also incredibly supportive and engaging. Their passion for the subject matter was evident and made the learning process enjoyable. I particularly appreciated the interactive elements of the course, which helped deepen my understanding and foster a collaborative learning environment. The course content was comprehensive and well-structured, providing valuable insights that I will carry with me in my professional journey. I feel much more confident in my skills and look forward to applying what I have learned. Thank you once again for such a remarkable educational experience. I am eager to see how this knowledge will impact my future endeavors. Warm regards

Tomar un curso en línea de negocios y tecnología fue una experiencia increíblemente valiosa para mí. Aprendí no solo conceptos teóricos, sino también cómo aplicarlos de forma práctica en un entorno de trabajo. Me sorprendió cómo estos cursos logran combinar conocimientos técnicos y de negocio de una manera tan accesible. Fue revelador ver cómo la tecnología, bien utilizada, puede optimizar procesos y mejorar la toma de decisiones estratégicas. Lo que más me gustó fue aprender sobre el uso de datos para respaldar decisiones empresariales. Ahora me siento más seguro para interpretar métricas y ver cómo esas decisiones impactan realmente en el negocio. Además, el curso me enseñó a pensar de manera más analítica y a ser adaptable, cualidades que creo que son clave en cualquier industria hoy en día. Definitivamente, siento que salí de este curso con una mentalidad mucho más estratégica y con herramientas prácticas que puedo aplicar directamente en mi trabajo.

Today I completed first step towards Data Analytics. Before taking this course, I spent a lot of time in Excel and SQL so as to prepare myself for this course. But contradictory to this, Till now i hardly touch Excel or SQL in the course (as per course curriculum). Because this course is created so that we can know "Why we are doing analysis?" before doing analysis. In this course I learned about Data Analysis Processes, Analytical Skills, Analytical Thinking, Data Life Cycle and much more. Among these topics, the topic which i like the most is "Ask" Phase- Where we Ask effective questions, define a problem, communicate with others. And the most challenging topic for me is Data Bias - Fair/Unfair Analysis. I found it complicated, because there is no correct way to determine Fair/Unfair analysis. Hopefully, as I continue my course, I will understand more about it. Thank You Coursera - Google Data Analytics Certificate for providing this amazing course.