RV
I learnt about CRISP DM process, Data Science tools, Decision Trees in this course.

This specialization demystifies data science and familiarizes learners with key data science skills, techniques, and concepts. The course begins with foundational concepts such as analytics taxonomy, the Cross-Industry Standard Process for Data Mining, and data diagnostics, and then moves on to compare data science with classical statistical techniques. The course also provides an overview of the most common techniques used in data science, including data analysis, statistical modeling, data engineering, manipulation of data at scale (big data), algorithms for data mining, data quality, remediation and consistency operations.

RV
I learnt about CRISP DM process, Data Science tools, Decision Trees in this course.
NA
good course to understand the fundamentals of predictive analysis
TM
It is informative and gives me overview about data science and the future
CH
Thank you Very Much I learn a lot of Thing with all kinds of Predative Modeling that I can use.
RS
I consider this course a must for one's journey into Data Science. The videos are short and to the point to serve the purpose of the course.
GK
This course helped me to apply regression techniques on my current job assignments
SN
For Beginner, this is good insight to understand what Data Scientist is , What is his role, Which tools need to be used upon and a road map to become Data Scientist
MA
course content is very concise and easy to understand
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The knowledge asked in the first quiz, hasn't been mentioned before in the reading.
Too general introduction. too much reading but not enough lecture.
There were readings; no lectures. The course had little to do with its title. I had hoped for a lot more. I see no reason to continue w ith this specialization. Others have put a lot more effort into teaching these topics. This course was a waste of my time. I'd give it less than one star if that were an option.
The course contains a collection of articles that can be found on the internet. Some of it is already outdated. There was a test in here with question on the topic of Decision Trees. However, Decision Trees were not explained. SO i had to go to wikipedia to learn about Decision Trees and then answered the questions.
There was not a proper flow in the reading. I found the topics a bit randomly picked.
Nothing mentioned about Decision Tree Model
This course, just a description of data scientist work
Mostly reading resources, but a great course!
I consider this course a must for one's journey into Data Science. The videos are short and to the point to serve the purpose of the course.
A bit too basic, although i did learn some fundamentals
For Beginner, this is good insight to understand what Data Scientist is , What is his role, Which tools need to be used upon and a road map to become Data Scientist
It is informative and gives me overview about data science and the future
Very informative and easy to understand.
Excellent resources; easy to follow
process of data mining
Wonderful Learning
Thank you so much!
an amazing course
Great course
Good course
Excelent!