ABSOUTE PIECE OF SHIT

I would like to provide feedback on the "Prepare Data for Exploration" course that I recently completed on Coursera. Overall, I found the course to be extremely valuable and well-structured. The content was comprehensive and provided me with practical knowledge and skills to effectively prepare data for exploration. Here are some specific points I'd like to highlight:

1. Clear and Engaging Instruction: The course instructor did an excellent job of explaining complex concepts in a clear and concise manner. The videos were engaging, and the use of real-life examples helped me understand the concepts better.

2. Practical Approach: I appreciated the hands-on nature of the course. The assignments and quizzes were well-designed and allowed me to apply the concepts learned in a practical manner. The step-by-step instructions and the provided datasets were instrumental in helping me grasp the techniques effectively.

3. Diverse Range of Topics: The course covered a wide range of topics related to data preparation, including data cleaning, data transformation, feature engineering, and dealing with missing values. This comprehensive approach ensured that I gained a holistic understanding of the subject matter.

4. Resources and Supplementary Materials: The additional resources and readings provided throughout the course were incredibly helpful. The recommended external links, articles, and case studies expanded my knowledge and allowed me to explore the topic further.

5. Engaging Learning Environment: The Coursera platform itself was user-friendly and easy to navigate. The discussion forums and community features provided an opportunity to connect with fellow learners and share insights and challenges. The prompt feedback from course staff on the forums was also commendable.

6. Practical Tools and Techniques: The course extensively covered various tools and techniques commonly used in data preparation, including Google Sheets, SQL, and Python. I appreciated the practical guidance on how to leverage these tools effectively for data exploration purposes.

7. Industry Relevance: The course emphasized real-world applications and scenarios, which is crucial for anyone looking to work with data in a professional setting. The examples and case studies from different industries added context and made the content more relatable.

8. Pace and Duration: The course was well-paced, allowing me to absorb the material without feeling overwhelmed. The bite-sized video lessons were convenient to follow, and the estimated completion time for each module was accurate.

I genuinely enjoyed the course and feel that it has significantly enhanced my skills in preparing data for exploration. However, I would like to suggest a couple of areas for improvement:

1. Additional Practice Datasets: While the provided datasets were useful, having more diverse and complex datasets for practice would have further enhanced the learning experience. This would allow learners to encounter different data scenarios and challenges.

2. Exercises with Solutions: Including exercises with solutions or providing more opportunities for learners to practice their skills independently would be beneficial. This would allow us to reinforce our understanding and ensure we can apply the concepts effectively.

Overall, I would highly recommend the "Prepare Data for Exploration" course to anyone seeking to gain proficiency in data preparation techniques. The content, delivery, and practical focus make it a valuable resource for both beginners and intermediate-level learners.

Thank you for creating such a valuable course and for your dedication to delivering high-quality education.

Best regards,

Rahulkumar parmar

I recently completed the "Prepare for Data Exploration" course, and it has been a transformative experience for my data analysis skills. Here are some key aspects of the course: Course Content: The course provides a comprehensive introduction to the foundational concepts of data exploration. It covers a wide range of topics, including data cleaning, data visualization, and preliminary statistical analysis. The content is well-structured, ensuring a logical flow from basic to more advanced topics. Instructors: The instructors are knowledgeable and engaging. They explain complex concepts in a clear and concise manner, making it easy to grasp even the more challenging parts of the course. Their real-world examples and case studies significantly enhance the learning experience. Hands-on Projects: One of the highlights of the course is the emphasis on hands-on projects. These projects allow you to apply the theoretical knowledge gained in a practical setting. Working on real datasets helped solidify my understanding of the concepts and gave me confidence in handling data exploration tasks independently. Interactive Learning: The course includes interactive quizzes and exercises that reinforce the material covered in the lectures. These activities are crucial for retaining the information and ensuring a thorough understanding of the subject matter. Resources and Support: The course provides ample resources, including lecture notes, additional reading materials, and access to a vibrant online community. The support from instructors and peers in the forums is excellent, making it easy to get help when needed. Overall Experience: Overall, the "Prepare for Data Exploration" course is a fantastic resource for anyone looking to build a strong foundation in data exploration. Whether you're a beginner or have some experience with data, this course will enhance your skills and prepare you for more advanced data analysis tasks. I highly recommend it to anyone interested in the field of data science. Rating: ★★★★★ (5/5)

I recently completed the "Prepare Data for Exploration" course on Coursera, and I am thrilled with the knowledge and skills I've gained. This course has exceeded my expectations in every way.

The content of the course is exceptionally well-structured and presented. The instructors not only possess deep expertise in the subject matter but also have a remarkable ability to explain complex concepts in a clear and concise manner. The course covered a wide range of data preparation techniques, equipping me with practical skills that are directly applicable in my work.

One of the highlights for me was the hands-on exercises and real-world examples. They provided invaluable insights into how to clean, transform, and organize data effectively. The interactive nature of the course kept me engaged and motivated throughout.

Moreover, the peer discussions and community forums allowed me to connect with fellow learners from diverse backgrounds. The collaborative learning environment provided opportunities to share ideas, ask questions, and gain insights from others' experiences.

What truly sets this course apart is its relevance. The techniques I learned have already proven instrumental in improving my data analysis process. I feel more confident in handling messy datasets and preparing them for meaningful exploration.

I highly recommend the "Prepare Data for Exploration" course to anyone seeking to enhance their data preparation skills. Coursera has once again delivered an outstanding learning experience that adds real value to professional development. Kudos to the instructors and the entire team for creating such an impactful course!

Thank you, Coursera, for providing top-notch educational resources that empower individuals like me to excel in our careers.

I must say it was a transformative experience. This course has been an eye-opener for anyone aspiring to become a proficient data analyst. One of the key takeaways from this course was gaining a deep understanding of the various types of data, both structured and unstructured. This knowledge is foundational for anyone venturing into the world of data analysis. The course didn't just stop at theory; it provided practical insights and hands-on exercises to work with real-world data. The section on writing basic SQL queries was a game-changer. SQL is the backbone of data analysis, and this course equipped me with the essential skills to extract, manipulate, and analyze data effectively. The hands-on SQL exercises were invaluable, allowing me to apply what I learned immediately. What truly sets this course apart is the comprehensive outline of a data analyst's role. It goes beyond technical skills and delves into the bigger picture of what it means to be a data analyst. Understanding the responsibilities, challenges, and opportunities in this field was eye-opening. It gave me a clearer perspective on my career path. Overall, this curse is a must-take for anyone serious about a career in data analysis. It not only provides a solid foundation in data preparation but also broadens your horizons about the data analyst role. Highly recommended!

"Prepare Data for Exploration" is an outstanding course that stands as a cornerstone for anyone delving into the realm of data science, analysis, or machine learning. The content is expertly curated, providing an in-depth understanding and hands-on experience in preparing data for analysis and exploration. The course structure is remarkably well-paced, offering a comprehensive yet easily digestible approach. It begins by laying a strong foundation, introducing fundamental concepts and methodologies crucial for data preparation. From data cleaning, handling missing values, and dealing with outliers to data normalization and transformation, each module is meticulously crafted to deliver a clear understanding of these essential techniques. Furthermore, the instructors' expertise and teaching style are commendable. They adeptly simplify complex concepts, making the material accessible to beginners while providing additional insights for more seasoned practitioners. Their approachable demeanor and clear explanations create an engaging learning environment, making the course suitable for a wide range of learners.

This course was fantastic! Probably the best one so far, and mainly due to instructor. The instructor was clear, confident and to the point.

The whole course was interesting, with lots of practical exercises (QuickLabs, Google Spreadsheets/Excel) and designed for complete novices in Data Analysis in the way which allow you memorize things without much effort (I am sure Google has done it on purpose, probably based on some research on how brain creates new connection). And I believe this is what modern learning should be like - fun, engaging, enjoyable and without you even noticing you are learning.

I will miss this instructor on the next course...

P.S. the only downside is the way they desperately promote Kaggle. At least this is how I felt. I've also lost two days navigating among links they suggested for learning about "regexes" and still don't really get it... I wish they've covered it within a course in plain and understandable way they cover everything.

But in overall 5 stars! Really enjoyed it.

My experience with this course, which is part of the esteemed Google Data Analytics Professional Certificate Program, has been truly enlightening. Throughout the duration of the course, I have gained an extensive understanding of essential concepts, ranging from the art of data exploration to the intricacies of data collection.

What truly captivated my interest and enthusiasm was the opportunity to work hands-on with two powerful tools, Kaggle and BigQuery, harnessing the power of SQL to analyze and manipulate data effectively. This practical aspect of the course has not only boosted my confidence in using SQL but has also given me a taste of the real-world challenges and opportunities data analysts encounter.

I am grateful for the course's well-structured curriculum, which provided a seamless learning journey. The course instructor is quite knowledgeable and thorough, offering valuable insights and guidance throughout the learning process.

This course was overall well-designed and structured to acquaint the budding data analyst with key tools and knowledge about processing data. The best elements were the less technical elements but the basic use of sorting and filtering data, and organising data repositories are invaluable to working with any quantity of data. There is also a mention of data structures, table relationships and differences between spreadsheets and databases which begin to indicate how data is stored and presented. The most valuable section for me, and which is cleverly introduced at this early stage, was the part about building an online presence as a data analyst. There is a lot of information and guidance on how best to reach out to the online data community, taking on a mentor, and developing an online profile to showcase your work and achivements, that will hold one in good stead in their career advancement.

I highly recommend the "Prepare Data for Exploration" course to anyone interested in data analytics, regardless of their prior experience. The course provides a solid foundation in data preparation techniques and equips learners with practical skills that can be applied in various industries.

Completing this course as part of the Google Data Analytics Professional Certificate has been a valuable learning experience. It has provided me with the necessary skills and knowledge to effectively prepare data for exploration and uncover meaningful insights. I feel more confident in my ability to work with data and look forward to applying these skills in future projects.

A big thank you to the instructors and Google for offering this course. It has been instrumental in my data analytics journey, and I'm excited to continue learning and growing in this field.

The instructor explains the concepts really well , the course modules are designed in an amazing way , so that it becomes more interactive and fun to learn , new concepts as well as hands on practice with the instructors guidance in a separate Coursera tab was an amazing experience , discussion forums enabled me to interact with like minded individuals with same field of interest as well , overall it was an amazing experience , highly recommended. best of luck. and whoever is reading this , remember to take notes , and religiously read the reading materials provided , they are really a great resource to build upon the concepts and to bolster your understanding of the topic , all the activity and projects takes time to learn so take your time and complete the projects and answer all the self reflection part of the course modules ,

Very high quality course, very formal. Better quality education than I have ever received in any other subject or topic in a Community College setting. The content is to the point, the instructors are very knowledgeable. The discussion space was quite confusing to me, to be honest. I love how accessible the content is, I have been able to attend even via my cell phone when I am out on the road, most of the learning I have been doing has been from the comfort of my home. I feel like it gives a sense of the WFH experience that tech professionals are currently in with the changes made since the Pandemic. Regardless of the world changes, this course is very good to take no matter what is going on, the ability to reset deadlines and revisit content helps when life gets busy.

I found this course covered a lot of new material. I've been in and out of the workforce for two decades, so I have a passing acquaintance with most aspects of business. I learned genuinely new material. I absorbed the fundamental tenets of data analytics from an instructor who was both personable and informative. She took her subject seriously, and she took my desire to learn seriously. I got a good grounding in the rudiments of data analysis, and also an excellent introduction to the online data analytics community. I have the means to educate myself further because of the care that was taken with the peripherals to the course. The only thing I would change is that I hope that you will give this young lady a chance to expand and update the learnings.

The course Prepare Data for Exploration is absolutely perfect. It is well-organized, informative, and engaging. The instructor does an excellent job of explaining the concepts in a clear and concise way. The course content is relevant to the real world, and the hands-on exercises help you to solidify your understanding of the material.

Overall, I highly recommend the course Prepare Data for Exploration to anyone who is interested in learning about data analysis. It is a well-crafted course that will provide you with the knowledge and skills you need to get started in this exciting field.

I would give this course a perfect 5 out of 5 stars. It is an excellent resource for anyone who is interested in learning about data analysis.

Hallie ! you are amazing tutor ,  In this course you will learn the process: preparing the data correctly. This is where understanding the different types of data and data structures comes in. Knowing this lets you figure out what type of data is right for the question you're answering. Plus, you'll gain practical skills about how to extract, use, organize, and protect your data We all generate lots of data in our daily lives. In this part of the course, you’ll check out how we generate data and how analysts decide which data to collect for analysis. You’ll also learn about structured and unstructured data, data types, and data formats as you start thinking about how to prepare your data for exploration.

it helped me understand some new ideas about preparation of the data to be ready for the subsequent phases also identifying good data sourses and its characterstices also its gives me attention to data ethics which I did not awear of before and its importance. additionally we take an idea about bias and its different types finally we get more benift in the field of working with big query and kaggle, github and Linked in and building professional network. I have started learning Kaggle and bigquery and linked in from most viewed and followed youtube channels in my waiting time to start the next phase course Process. Thanks Hallie, for your effort, and knowldge that you share with us.

I learned a lot from this particular course. My favorite sessions had to do with BigQuery topics. I've had some experience with T-SQL, MySql, and Access_SQL (might not be exactly the right name, but it doesn't matter) so BigQuery syntax wasn't a surprise. I was suprised at the vastness of Google's public datasets. Wow! I could spend a lot of time just exploring this collection of data. For me, the section about MetaData was the most challenging. I know what Metadata is, but I am still having a tough time relating the terms taught in this course with their specific examples in the real world. More practice will help I guess. Thanks for another excellent product Google!

After completing the course the one word came from my mouth "Awesome". I like the organization of topics. They also provide the links of articles and websites related to topic. In this course we have learned about the collection of data, SQL quires, spreadsheet functions and formulas, data types, data structure, data modelling, data ethics and many other useful topics. The language used in readings and videos is very simple and easy to understand. Speaking of instructor, I can say that if I had met such instructor from my childhood, I would not have had to spend so much time in studying. I really enjoyed in learning......

I completed the Prepare Data for Exploration course in the Google Data Analytics Professional Certificate program and I found it very useful and informative. The course covered the main steps and tools for data preparation, such as cleaning, formatting, and validating data. The instructors explained the concepts clearly and provided relevant examples and exercises. The quizzes and labs were challenging but not too difficult. I learned a lot of new skills and techniques that I can apply to my own data analysis projects. I would recommend this course to anyone who wants to learn more about data preparation and exploration.

The instructor was excellent! She explained all the concepts clearly and enthusiastically.

This course introduces more tools and knowledge that data analysts apply to their day-to-day job. I have completed the first three courses, and they are very informative.

As a bit of advice, quizzes should be more challenging, especially the final exam. I think they should include more practical questions that require applying the obtained knowledge: implementing queries, sorting or filtering in Sheets, etc. I also appreciate the theory since it is super relevant to know how to protect data and use it ethically and efficiently.

This course starts with an explanation about how the data is generated as a part of our daily activities with reference to the types of data generate and explained factors that should be considered when making decisions about data collection. This course also explained the importance of networking with other data analysts, including reference to mentorship and communication. How to apply best practices to manage a professional online presence. Also described are approaches to build an online presence as a data analyst. I want to thank Google and Coursera for bringing this fantastic and insightful course.

I enjoyed learning new skills such as SQL, BigQuery and Metadata. The course leader was very clear in explaining each part of the weekly learnings. I enjoyed the Hands on activities as they took me to learn about other platfoms such as Kaggle and BigQuery. I had an opportunity of exploring what other data analysts are doing and how they are presenting their work on online plaforms. I addition, I learnt how to query big datasets using SQL in these platforms. I am a lifelong learner and appreciate this opportunity from Camden Council and Google as the provider. I look forward to my next course.

The course provided valuable insights and practical knowledge, empowering me to enhance my skills in [specific area]. The instructors were engaging, and the course content was well-structured, making it easy to follow and understand complex concepts. I particularly appreciated the hands-on assignments and real-world examples, which allowed me to apply what I learned in a practical context. Overall, the course exceeded my expectations and has significantly contributed to my professional development. I highly recommend it to anyone looking to deepen their expertise in preparing data.

To Hallie, I wanted to take a moment to express my deepest gratitude for your exceptional instruction during the "Prepare for Data Exploration" course as part of the Google Professional Data Analytics Certificate program on Coursera. I want to extend my thanks to Google and Coursera for providing such a wonderful opportunity to learn and grow in the field of data analytics. The resources and support offered through this program have been instrumental in my professional development, and I am incredibly grateful for the chance to enhance my skills and knowledge. Thank you so much!

This course was awesome. The step to prepare data and get the information about data ethics as a data analyst is important. I have learned a lot from this course which were cool. The instructor was awesome and have clear idea about each topics. Though I would suggest to keep slow when it comes to database management system.Cause people with non Computer Science background,I think will face a little problem on this very speed of learning. But I think they can overcome while they strictly follow the timeline offered by the course. Overall best. Good luck to my fellow learners.