Do you want to know why data science has been labeled the sexiest profession of the 21st century? After taking this course, you will be able to answer this question, understand what data science is and what data scientists do, and learn about career paths in the field.
The art of uncovering insights and trends in data has been around since ancient times. The ancient Egyptians used census data to increase efficiency in tax collection and accurately predicted the Nile River's flooding every year. Since then, people have continued to use data to derive insights and predict outcomes. Recently, they have carved out a unique and distinct field for the work they do. This field is data science. In today's world, we use Data Science to find patterns in data and make meaningful, data-driven conclusions and predictions. This course is for everyone and teaches concepts like how data scientists use machine learning and deep learning and how companies apply data science in business. You will meet several data scientists, who will share their insights and experiences in data science. By taking this introductory course, you will begin your journey into this thriving field.
DN
I love how beginner-friendly this course is. I did not have to panic about not following any lecture since I am new to this field. I know this is the first course but I'm loving it already. <<33
RM
The course is a perfect introduction to data science, making a person comfortable and showing the participants of the course a daily work of data scientist and to simplify the meaning of data science.
AP
I throughly enjoyed the course and the fact that everything was explained thoroughly. I always enjoyed Dr. White's personal experience with Data Science as well as other Data Scientists point of view.
BR
Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.
FA
This course is rich, engaging and thought provoking. It is a solid foundation for a career in data science. I now feel more confident that I can excel in this field. Thank you IBM! Thank you Coursera!
EB
The only reason it isn't a 5 is because it makes you do a final peer assessment with the grade posting outside of the free trial period which is super weird. Good foundational course other than that!
AY
It is a good start I could say, because folks like me who does not have any prior knowledge on what exactly a Data Science is, I recommend learning this module will give better understanding.Thank you
RF
It is an excellent introduction for people interested. I felt some of the questions could have been a bit harder to test a slightly deeper understanding, although this will probably be the case later.
UY
The Course answers the question which the title says. It is a very basic course, and no skill can be learned from this, but it provides insights from actual people who are working /teach data science.
NF
This section of the course is decidedly an orientation and not so much an introduction. It leaves more to the student to wonder, which perhaps is intended to encourage students and not to hammer them.
VS
Good introductory course for setting a basis for knowledge of data science and data scientists for someone who may be a novice and seeking to learn more.Good quality in terms of presentation as well.
JM
I learned a lot but that might not be a good indicator as I didn't know much about Data Science in the first place. It just fueled my need to know more about the subject so on my side, it's a winner.
Showing: 20 of 10,000
Very basic course, to be honest. The grading seemed to be dependent on memorizing exact quotes from videos. Looking forward to some of the more advanced courses in this series.
Too much introduction. There is no need to spend so much time on it. People that take this course usually understand what is data science. they need to learn real knowledge, not spend the whole week on introduction.
Videos often have disjointed or unrelated elements. Final week quizzes and mid-video questions often have useless or otherwise unhelpful reading questions. An example from week three's final quiz, "True or False: The Untied States Economic Forecast is a publication by McKinsey University Press." The answer is false and is covered in the reading, but the question has absolutely nothing to do with data science.
Too basic.
If you live under a rock and have never heard of Data Science, a Data Scientist or any terms related to this industry then this is a wonderful course for you.
For everyone else, it is a total waste of time.
This was a good introductory course, especially as someone with basically zero experience in the field. I've been struggling with where to begin (should I take a course on Python? R? What languages are even useful? WTF is cloud computing?) And this course gave me a good starting off point. That said, it wasn't technical AT ALL. It's really just a bunch of "fireside chats" with data scientists, talking about the languages they use, what concepts they're used for, what knowledge is necessary and what isn't, etc. If you're looking for a "roadmap" to continue learning on Coursera, this is it.
This is exactly what I feel the college experience gives students that online or self-taught learning lacks: context. AKA there are a billion courses on Python on Coursera, but none explain WHY I'm learning Python. This course does that. I'd recommend this course for anyone looking to start with data science from zero.
Excellent quality content! It's a great introductory course that really gets you interested in Data Science. I would highly recommend it to anyone curious in learning about what Data Science is about.
Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.
Very, very basic... completely useless and a waste of time. I feel like the only purpose of this course is to drag out the certification process so that it costs you more money...
I thought this course introduced the topic of data science very well. I think I have a much better idea how to describe data science and common terms associated with the field (like machine learning).
This course is not consistent with someone who would sign up for an entire certificate. This course is more suitable as a recruitment tool for a certificate program. Watching these videos was an absolute waste of my time.
Should this even be a course? Like they just say things that anyone can find the first thing on google if search you data science.
Very learning experience, I am a beginner in DS, but the instructors in this course simplified the contents that made me I could easily understand, tools and materials were very helpful to start with.
Poor course overall, not much "meat". An introduction to the subject that could have been given in one hour of lessons.
I throughly enjoyed the course and the fact that everything was explained thoroughly. I always enjoyed Dr. White's personal experience with Data Science as well as other Data Scientists point of view.
The course seems poorly pieced together with videos from Big Data University - which is now known as Cognitive Class. There is mainly little coherence into what the course is trying to teach in all the videos. Readings were given on a rather low resolution image file - that makes it difficult to read and kinda 1990s feel. Is it that difficult to save the pdf in text or include a higher res image file?
Similar to the point that a data science report should indicate the details and affiliations of the person writing the report, many speakers in the videos apart from the two professors does not have any background information. Who are they? Where are they from? What background are they speaking from? All these are important context for learning.
I did learn something from the final assignment though. However, that was personal reflection and learning from peers. Thinking whether I should continue with this course.
useless, wasting time
Waste of time. Most of the material was "fluff" about data science. What was actually useful could have been accomplished with a 2-3 page pdf. Only finished it, because I'm taking it as part of the IBM specialization through my work. I REALLY hope the other courses are more useful and worth the time. Very disappointed in this course.
very useful. i liked and enjoyed the journey of learning in these five weeks. the instructor is very clear and taught very interestingly. Thanks to her. she looked poised and cheerful and professional
Terrific introduction to the Data Science course. Never expected but was extremely excited with the quality of content, speakers and a very honest attempt to making this course interesting.
Krishna
The course doesn't teaches anything except for explaining data science benefits and examples.