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Posts by Sandeep Singh:

20 Questions for a Data Analyst Position Interview

20 Questions Asked During an Interview for a Data Analyst Position

So you’ve been looking to make a career move to data analytics (also consider checking out this perfect parcel of information for a data science degree). You’ve probably taken up a course, done your homework. You’ve sought out firms for the position of data analyst. It took a while, but a firm has responded back, showing interest. They fix up an interview with you. You begin googling things to anticipate how the interview will go. And now, you’re on this page. 

Top Data Analysis Interview...

Artificial Neural Networks With Google Colab & Python

Dig Into Artificial Neural Networks With Google Colab & Python

Hey Alexa, play some music! Hey Alexa, what is the cricket score today?Have you ever had interactions like these?

If so, as a user, you have pretty much explored artificial intelligence at length!

Deep learning, commonly known as a neural network, is the approach that artificial intelligence (AI) uses. The concept of artificial intelligence was originally proposed in 1944 by two researchers, Warren McCullough and Walter Pitts, from the University of Chicago, USA. 

You may also like: How to...

Detailed Guide to Web Scraping Using Python's Beautiful Soup

A Step-by-Step Guide to Web Scraping Using Python's Beautiful Soup

One of the key sources of data for both organizations and researchers is the internet. While one could copy-paste relevant information from webpages and transfer it to excel sheets, CSV, and TXT files, it isn't feasible if larger data sets are required. So, how are larger data sets collected by Data Scientists from the internet?

One of the most frequent, and time-consuming tasks that Data Scientists have to perform is collecting data and cleaning it.

Web Scraping

While web-based data...

Top 10 Libraries of Python for Data Science

Top Ten Libraries of Python for Data Science

The rate at which information is being generated in the world is exponential. This ever-increasing volume of information is referred to as “Big Data”. From academic institutions and large corporations and governments to just individuals - everyone has a lot of data, from servers, and hard disks to smartphones.

Is there anything we can learn from this historical data? Yes, and an entire branch of study has sprung up that is dedicated to finding ways and means to sift through and analyze large...