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Data Visualization with Python, IBM

4.6
Оценки: 1,717
Рецензии: 206

Об этом курсе

"A picture is worth a thousand words". We are all familiar with this expression. It especially applies when trying to explain the insight obtained from the analysis of increasingly large datasets. Data visualization plays an essential role in the representation of both small and large-scale data. One of the key skills of a data scientist is the ability to tell a compelling story, visualizing data and findings in an approachable and stimulating way. Learning how to leverage a software tool to visualize data will also enable you to extract information, better understand the data, and make more effective decisions. The main goal of this Data Visualization with Python course is to teach you how to take data that at first glance has little meaning and present that data in a form that makes sense to people. Various techniques have been developed for presenting data visually but in this course, we will be using several data visualization libraries in Python, namely Matplotlib, Seaborn, and Folium. LIMITED TIME OFFER: Subscription is only $39 USD per month for access to graded materials and a certificate....

Лучшие рецензии

автор: DD

Mar 03, 2019

The best course in this specialization, so far. Great balance between theory and practice. Interesting and demanding exercises and assignment. Theory explained in friendly way.

автор: RC

Jan 15, 2019

Excellent course, especially the labs were very useful and served as a recap of what was learnt in the previous courses of this certification course. Very clear explanation.

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Рецензии: 207

автор: Sisir Kovuri

Apr 24, 2019

A lot of functions and lines of code weren't explained they were just left to be figured out by the learner. While some lines of code could be understood without much explanation, others were too complex for people new to programming (which most people taking this course are).

автор: Dan Saattrup Nielsen

Apr 23, 2019

Data could in most cases not be loaded, making the labs useless. Also, the videos have unnecessarily much redundancy. Really didn't learn much from this course.

автор: Jonathon Vasquez

Apr 23, 2019

Some of the notebooks given did not function correctly, overall did not ruin the learning experience thought.

автор: Soe Moe

Apr 22, 2019

This module introduces all the useful features of various visualization libraries from a dataframe.

автор: Andrew Cox

Apr 20, 2019

The course labs had broken links which caused issues with several of the students. The quizzes also had several question choices where two of the answer choices were the exact same, leaving the student to guess. Not to be so critical, although the datacamp classes are much more effective when it comes to learning.

автор: Kevin O’Connor

Apr 19, 2019

None of the labs data imports worked. The majority of the video content said to take the time to really learn the topics via the labs. The final assignment data sources worked, so at least that could be completed. Paid courses really need to have external dependencies reliably available or updated.

автор: Deepak Nayak

Apr 19, 2019

Needs better and more elaborate explanation. It's too tough to understand and execute.Thanks!

автор: Shashank Raj

Apr 18, 2019

Awesome experience!

автор: Phenil Buch

Apr 17, 2019

Videos were short and could have explained the lab work better. Also, the Data was discussed in every single video which was annoying and I always skipped 30 seconds in every video.

The course itself is nice.

автор: Nigel A R Henry

Apr 16, 2019

Notebooks are very practical