Ratings and Reviews for Introduction to Data Science in Python

I really learned in it.

Amazing!

Great course to start learning Data Science with Python, you exercise step by step and implement Cool development project assignments

It would 3* for materials (they are acceptable but not great until Week 4, when there is only one video crafted by staff and the rest are links to external materials including content for which you have to pay). It definitely would be 1* for assignments. The way they are designed and described (especially in Week 3 and Week 4 ) makes it impossible to solve them without referring to the forum where there are many clarifications. Staff member doesn't see any issue with it. My favorite: asking for a ratio and expecting percentage in the answer.

Really Challenging and well organized course

very badly designed course, no material support. Assignment required outcome where not covered in the lectures. what do you expect students to learn from outside sources. Very very bad. Waste of money, I am disappointed this course.

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 Additionally, the insistence on manually coding names and resorting to external sources for basic information felt outdated and disconnected from modern data science practices.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.