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Harsh Singhal | DataScienceFM

Harsh Singhal | DataScienceFM

Data Science FM is the #1 Data Science and AI channel online. We help you get started on your Data Science journey with articles and videos that will positively impact your career decisions.

If you had the chance to go back in time, what would you do differently about your data science journey?

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?

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?

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.

Consistency is the key to building long-lasting value

Consistency is the key to building long-lasting value

Shivannas is a small store in Bangalore on JC road. I used to go there as a kid almost three decades ago with my parents. This was my dad's hangout when he went to college near by. My grandfather used to stop there to pick up nippat, have

What is the "quick start" approach to learning Machine Learning?

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.

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

What can be done to enhance my career in the field of Data Science?

What can be done to enhance my career in the field of Data Science?

Everyone learns differently. But to know what works for you, choose a system that you found successful in school or college. Often we used to sit with a resource (usually a book) and read and take notes. Do the same now. The process is the same but the resources have changed.