FAQs

Learn with us what web scraping and Scrapy is and how you can use the same to your benefit.

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

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

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.

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.

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.

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 dataset

A mindset is a result of what you repeatedly do. A data-driven mindset means that you bring data to decision making, repeatedly. Bringing data to decisions implies a lot of things. It could mean developing engaging dashboards. Developing datasets to make it easy for other Analysts to run deep-dive…

Participate in Kaggle.com and learn AI/ML on https://www.fast.ai/ (free). Do excellent Analytics work by day for your company and spend your evenings pursuing your AI/ML dream. A resource like www.fast.ai has made it very easy for folks to learn AI/ML by

If you can create a list of every tool existing in data science, that list itself will be fascinating to share with others. After you have done the research to create such a list, add a few lines to summarise what each tool does and one or two pros and

The discussion shared below was part of many Q&A sessions Harsh Singhal conducted with Data teams at various companies and colleges.People stay and leave for a variety of reasons. As long as you are convinced to stay or go, then your reasons are the right reasons. I

Careers will span longer periods (decades and more) increasingly, so people have to be ready to make changes throughout their careers. Changes that are made in the pursuit of media-driven hype can be difficult to sustain as new hype cycles will quickly replace the previous ones. What is sustainable…

An ML project, like any other project requires the project team to get together in the early stages to resolve lots of open questions to better scope the project. What is the problem being addressed and why is it seen as a problem that needs to be solved? Very often

First, identify what it is you want to learn. Can you come up with a list of topics and projects that you wish to work on? Then, you will have to research various degree programs and their curricula for overlap. Additionally, you should then look at different companies and the

What does success mean to you? This is a broad question to an already broad question :-) Try to identify what interests you about e-commerce and aspects of e-commerce that Analytics can help improve? So many aspects are involved in making a sale online such as recommendations, product placements, a…

If you have a job, use the industry you are in as a starting point to explore your aptitude and interest. You might like to write lots of SQL queries, extract insights, and make interesting presentations with spreadsheets and slides. This is as useful and important as someone writing data

The first step is a detailed assessment. Is there a document that takes up different aspects of the previous project to identify pros and cons? Was there a requirements document that was used as a guide to developing the project that is now being called “legacy”? If not, then write

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.