A Crash Course in Data Science

A good course to start on your journey to understand DS and Machine LearningI am familar with most of terminology through my experience.

I liked the fact that it fused traditional analysis techniques with modern tools, infrastructures and approaches without taking sides (ie inferential statistics and hypothesis testing versus machine learning and deep learning algorithms).

This is a beautifully designed crash course on Data Science and gives you insight into Machine Learning and how it can be used effectively.

Great to do if, you want to dive into data science or machine learning.

I alreday feel that i h Interesting course but structure was a bit odd I thought, it was not clear why so much time was devoted at the outset to the difference between Machine Learning and data science.

I think the statistics vs Machine Learning wasn't totally relevant.

For example, they explain clearly the difference between statistical analysis and machine learning, although, a more detailed examples of when you only can use statistical analysis and when you only can use machine learning is missed.

If you're looking for an introduction to data science and machine learning which doesn't get your feet too wet this course is ideal.

G I really liked the content , the difference between machine learning and statistical modelling was nicely explained.I also like the topic hype from value and it was well explained.

Why machine learning is used or what problem it solved.

It doesn't really answer questions of what are data science, big data, machine learning, how they interact and how to use them.

Very basic course, gives a bird view of the Data Science Executive Summary: Do not spend time on this course if you have minimal common sense and have read at least one article on Data Science.I finished the 11 week course "Machine Learning - Stanford University - by Andrew Ng" 2 months ago, which was such a great course!

Very good introduction course course is easy to understand.

Easy to understand and I really got general idea of data science.

Easy to understand.

Great lecturers who make it easy to understand.

The course lays out the basics of Data Science in a very easy to understand manner for someone who is a beginner and gives an overview from where you can start scouring for more information either through the further courses or outside of them.

Good overview of Data Science - peaks interest but doesn't go into depth of any subjects The crash course was easy to understand.

very small and easy to understand and worth to take Fantastic overview of Data Science avaible to all public This course was truly a crash course with less crashing and more succeeding on the parts of the professors.

The technical terms are easy to understand and presented in such a way that it provides good understanding of Data Science and it is applied in various industries to for business benefit Boring and useless course..... Great job!

Very well structured and examples very straight-forward and easy to understand.

Easy to understand and shed light on how to making progress on more learnings.

Very informative and easy to understand.

Clear with easy to understand concepts.

This was really a crash course in various aspects of data science, with words being thrown around and defined for a lay person like myself.

It is really quite and easy course into various aspects of data science.

Very crash course that gives you a taste about the different aspects of data science and makes you want to dive in the specialization program right away!

great introduction to field, but there is lack of examples of bad usage data science methods and tools Great for an overview of the different aspects of data science.

A great way to better understand the fundamental aspects of data science.

Too shallow in coverage Great and interesting material, worth investing the time Helps learn about Data Science objectives, process, structure, toolbox and hype in short with real-life examples Well it got the objective right which is only a crash course in data science for beginners, but I think the team could make a more engaging and practical videos with more of real life cases More of a lean-back course.

i was quite dissapointed from the 2nd half of the module "A Crash Course in Data Science".

It is exactly what you can expect from a "A Crash Course in Data Science". "

great refresher and takes aout the number of hours A great course for people who just s definitely useful for someone like me who has no prior background in this field A Crash Course in Data Science is a succinct, one-week overview of the field of data science produced by the same team from John Hopkins University that produced Coursera’s data science specialization.

A Crash Course in Data Science is good for what it is: a brief overview of a field taught at a high level so that anyone can follow along.

A Crash Course in Data Science is a well-made primer on the data science field, but its brevity may leave paying students wanting.

This course is a very high level overview of Data Science and among other things reviews differences between machine learning and statistics and current disputes on the topic.

Aldo Really good quick and dirty high level overview of how to structure and talk about data science projects.

High level overview - not technical at all.

Excellent high level overview of data science The material is of a good level, it is a good first introduction to the field.

Great intro Provided a good, very high level overview.

it was a great learning experience,the lectures were good and excellently designed Really wonderful high level overview- quite helpful for me.

A good course for people, who want to get some insight into Data Science Good overview of Data Science but lacking a bit of meat.

Very Good course for understanding the Data science elements The first week gave me a good insight into the data science process.

Gives you good and short insight into what data science is all about.

This course have given me a an insight into what is this big name Data Science is all about.

Doesn't give much insight into data science.

A good starting point for other Data Analytics/Science coursework.

Great starting point for any experienced professional with no data science background to understand this growing in-demand field, its purpose, the various components that comprise data science, in addition to overall objectives and outcomes of data science.

Good crash course, presents relevant concepts quickly Very basic level, nice talks though Thank you all professors of John Hopkins, for excellent explanations and relevant examples to help improve learning.

The content quality is a definite step up from the original John Hopkins data science track.

Gives an excellent overview of key concepts in Data Science and whets your appetite for more This course is the 2nd certificate course I've completed through Johns Hopkins and Coursera, and the content is always excellent.

The instructors are well versed in the field and certainly have their hands full constructing software and analysis for what is quite possibly the number one research medical hospital/college in the country, Johns Hopkins.

I do not have a statistics background and i was abit worried at first, but this was well organized and i am really glad i took it!

Very basic, for absolute beginners/ managers completely new to data (let alone data science) Very well organized course ..Short and to the point Solid introduction.

Highly Enlightening for those who just beginning to learn data science,The courses are very detailed and well organized,All the aspects of the data science are introduced in intriguing mannerThank you Too theoretical, e.g, comparison between statistics and ML is not at all useful.

I suggest pausing the videos and take notes to grasp everything, and for reference if you're going to take other courses along this path.

It answered a lot of basic questions and got me curious to pursue other courses on data science.