Next in Data Visualization - Michelle Borkin - Radcliffe Institute

I really enjoyed the online course. I thought it was well planned and layed out, easy for me to follow. The work load(h.w. & test)was just enough, so i could finish everything with enough time, learn about the topics and not feel over loaded and rushed.



Overall I really like this class because all lectures, assignments, and tests are straight forward. A couple things I dislike about the class are that there should be more opportunities for extra credit and it would be awesome if the final was an objective essay about what we have learned in this class or what we like about the class. I believe that I have more knowledge about ocean, weather, and marine lives and hopefully, I can use them in real life.



The course was everything you said it would be, fun but a lot of work. And it was! I enjoyed the web-labs because they were a lot of fun and easy to understand. And the answers were usually somewhere in the text. I also liked the assignments that required us to get online. Sometimes articles aside from the reading book gave me a better idea and understanding of the subject for that week. What I disliked was the short essay question because I found it difficult to explain certain concepts without introducing in some way, Ideas from the course notes or book (keeping in mind plagiarism). I never expected to learn so much from an online class; I now see the ocean life in a whole new way. I know I could have done better, but in the end I learned that an online class could be as much work or more than a regular class. However, I still enjoyed it very much.

"I recently completed the data visualization class and found it to be an incredibly enriching experience. The course provided a comprehensive introduction to the fundamentals of data visualization, covering topics such as data preparation, visualization tools, and best practices for effective communication.

The instructor was knowledgeable and enthusiastic, making complex concepts accessible and engaging. The course materials were well-organized, and the assignments were challenging yet rewarding.

One of the strengths of the course was its hands-on approach. We worked with real-world datasets and tools like Tableau, Power BI, and D3.js, which helped me develop practical skills and confidence in my ability to create informative and compelling visualizations.

The course also emphasized the importance of storytelling in data visualization, which was a valuable takeaway. I learned how to craft a narrative around my findings and communicate insights effectively to stakeholders.

Overall, I highly recommend this course to anyone interested in data visualization, analytics, or business intelligence. The skills and knowledge gained have been immediately applicable in my work, and I'm excited to continue exploring the field."

The Data Visualization course offers a comprehensive introduction to visualizing data effectively using modern tools and techniques. It covers fundamental principles such as choosing the right chart types, understanding color theory, and ensuring clarity and accuracy. The course balances theory with hands-on practice using tools like Tableau, Excel, and Python libraries (Matplotlib, Seaborn). It encourages storytelling with data, enabling students to present insights clearly to diverse audiences. Assessments are well-structured, and real-world datasets enhance learning. Ideal for beginners and professionals alike, the course builds critical skills in interpreting, designing, and communicating data visually. Overall, it’s engaging, practical, and highly valuable