I have enrolled in scaler data science course recently. And after completing a couple of months studies with them here are the Pros and Cons for me: Pros: Very structured course and relevant topics. Along with really good assignments after each class. Instructors are really good. Until now I have onRead more
I have enrolled in scaler data science course recently. And after completing a couple of months studies with them here are the Pros and Cons for me:
Pros:
- Very structured course and relevant topics. Along with really good assignments after each class.
- Instructors are really good. Until now I have only interacted with Mohit Uniyal, and I think he is really good. He is very thorough and amazingly patient while answering doubts.
- Teaching Assistance support is another great resource. You can reach out to them anytime via chat or video call. So that’s very handy.
- The dashboard is laid out really well too. The options to view class recordings any time, making bookmarks, discussion, scaler support access. Very neat!
- I have heard they have good placement and career support as well. I haven’t availed or experience this yet first hand since I am only 2 months in the course now.
Cons:
- Quite expensive course for sure, but given the quality and other equally and more expensive courses in the market such as upgrad, I am not surprised.
- Features like mentors are not very helpful, as even many mentors are still figuring out their career.
- A lot of spam from scaler. OMG! like you name it, Email, Whatsapp, Slack, so much spam from scaler and other learners.
- Lack of quality network building. Eventhough scaler has the above platforms where learners can connect, it still fails to help learners network. I know it is a hard thing, but I hope scaler can come with something where learners can benefit from each other.
Fell free to each out to me on LinkedIn if you have any other questions – https://www.linkedin.com/in/-prince-jindal/
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I had high hopes for the Caltech course, despite the high price tag. However, after a month of having a subject matter expert go through a PowerPoint presentation, I realized that this was all there was to it. There was no real teaching, just explaining. I don't blame the instructor or the support sRead more
I had high hopes for the Caltech course, despite the high price tag. However, after a month of having a subject matter expert go through a PowerPoint presentation, I realized that this was all there was to it. There was no real teaching, just explaining. I don’t blame the instructor or the support staff, but the course design and layout were quite ordinary. It was nothing special and definitely not worth the price.
I didn’t have much of a technical background, but I was assured that I was “qualified” to take the course. After two months, I found myself completely lost in the jargon and lack of programming skills. Despite expressing my concerns to various staff members, including the cost and my readiness for the class, I was only offered free courses as compensation.
In summary, I don’t recommend paying for Caltech’s course for DataScience and Business analytics.
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