Can You Get Paid for Scraping Data?
Learn with us what web scraping and Scrapy is and how you can use the same to your benefit.
Q&A
What is an easy and sustainable approach to transition to Data Science?
If you are in undergrad and are contemplating a career in Data Science and
Analytics, pick up tools and technologies that enjoy industry wide usage such as
Tableau, PowerBI, R, Python and others that are commonly used. Learn from online
courses and free YouTube resources such as freeCodeCamp.
If you
If you had the chance to go back in time, what would you do differently about your data science journey?
Going back in time is a great way to understand what is it that one needs to do
now to change course for the better. I love this trick that makes for great
conversations and self-examination.
One thing I will change if I can go back is to spend more
How to evaluate a Master's degree in Data Science?
If you keep your notebook close, and your pencil even closer, and make notes and connect the dots, and you do this even for a few weeks (30-45 mins daily), at the end of a month you would have gained a whole lot of perspective and understanding.
How to know which domain of data science is suitable for you?
All of a sudden, a company will go from collecting very little data to now collecting data from their website (views, clicks), employee data, manufacturing (from machines, processes, employee activity) and any other aspect of their business that needs to be improved.
What is the "quick start" approach to learning Machine Learning?
Take up one topic from your notes and go research it by googling it, finding Wikipedia articles, blogs, more examples of its usage, read related discussions on StackOverflow and gain as much understanding of the concept as you can.
I am trained in statistics but worry what I can contribute? Should I focus on technical skills more? Please help.
> The discussion shared below was part of many Q&A sessions Harsh Singhal
conducted with Data teams at various companies and colleges.
Analytics is statistics applied with code (code = SQL/Python/R/Java/etc.)
E.g., when you identify the average or variance of an attribute in a
