Ratings and Reviews for Introduction to Data Science in Python

I learnt a lot in this course and the assignments were really good and challenging.

i am so happy

the course content felt like a mishmash of basic statistics and paywall-locked articles, leaving me underwhelmed and questioning the value of my investment. It's disheartening to see such fundamental concepts hidden behind a paywall, making it feel more like a money-making scheme than an educational endeavor. The exercises, while intended to reinforce learning, fell short of engaging and challenging. Instead, they were monotonous and repetitive, failing to simulate real-world scenarios effectively. Additionally, the insistence on manually coding names and resorting to external sources for basic information felt outdated and disconnected from modern data science practices. One peculiar aspect of the course was the inclusion of an hour-long lesson on regular expressions (regex). While regex can be a valuable tool in data manipulation, dedicating an entire hour to it seemed excessive, especially considering the limited relevance to the broader scope of data science. However, the most glaring omission was the absence of machine learning and deep learning concepts. In a field evolving as rapidly as data science, neglecting these fundamental topics is a disservice to students seeking to stay abreast of industry trends and advancements. In conclusion, while the course may offer some insights into basic statistics and data manipulation techniques, its outdated approach and lack of comprehensive content make it difficult to recommend. Unless significant updates are made to address these shortcomings, prospective learners would be better off exploring alternative resources for their data science education.

Good course by all standards. The questions are quite hard, and you'd need to read the documentation to find answers to these. I love the program!!! If you just want the certificate without putting in the work, then this is not for you.

Excellent course if you are interested in start learning about Pandas, and data handling in general.

This is the BEST Python course I've ever taken! Thanks.

I thought this would be a good next step from py4e, but I went from feeling super confident and having everything explained very well and thoroughly to feeling like I'm being thrown into a 4th semester masters course and being expected to be able to keep up with everything. it's supposed to be an introductory course, but doesn't really explain anything. It's just like "look, this does this, this does that. If you wanna know more, which you do because we will test you on it, then look in the documentation" Constantly explaining things with tons of jargon that a person taking an introductory course obviously isn't going to know. And not explaining this jargon at all. Sometimes with some sentences I was cracking up at the idea that the person who made the video would really think I would know what they mean. There's no point in taking a course where they aren't going to teach you anything. If I wanted to do everything myself I wouldn't pay to take a course. Assignments often are completely different than what they discuss in the videos. They also talk and breeze through everything sooooooo fast. Really, really horrible course. Also really surprising that this has so many full star reviews but looking at the other 1 star reviews I can see that I'm deffo not alone in my experience.

The course has a good balance of information presented and application. The exercises in the assignments are pretty good. Going through the exercises reinforce the knowledge and also requires further research on topics not covered by the course.

Good and challenging course, though it's mainly self "figure" as the lectures don't really explain things in a way from which you can build a framework. They mainly provide a few concepts and hints for the questions. Perhaps that's good. At times the assignment questions lack context.

It's good platform to empower IT skill highly appreciated.