Edvancer's Knowledge Hub

How to quantify relationship between categorical and continuous variables

In the last blog, we discussed ways to get descriptive statistics for univariate continuous variables. If there are no outliers and the distribution is symmetric, the mean and standard deviation are excellent measures of central tendency and dispersion, whereas the median and IQR may be more appropriate if outliers or strong skewness is present. In […]

DESCRIPTIVE STATISTICS FOR DATA SCIENCE? It’s Easy If You Do It Smart

So you have the business objective and you have painstakingly collected the data as well, now what? What to do with the data, how to understand the distribution of the target variable and how to analyse the influence or affect of other factors on the target? The answer to this is Statistics. Statistics is a […]

5 common myths about shifting career to Data Science

There are various myths rampant about data science. Data Science did not just come into being overnight, rather it has evolved over a long period of time to become an independent field. In 1960, Peter Nour used it as a substitute for computer science. In 1974, Naur published a study which freely used the term […]

Are we really using Artificial Intelligence in our daily lives?

The ubiquity of applications of Artificial Intelligence and Data Science is enormous in our daily lives. AI is making our life simpler each moment of the day without us realizing this. In this article, we will go through some aspects of AI which we interact with every day. Virtual Assistants powered by Speech Recognition […]

A detailed guide to become a Data Scientist/AI Expert

In our last article, we discussed the evolving future of Artificial Intelligence and Data Science; and that the fields are expanding across all the industries be it pharmaceuticals, agriculture, banking, manufacturing, logistics and so on. In this article, we will talk about the various job roles in data science and how to kick start […]

A career in Data Science & Artificial Intelligence – Is it worth it?

The world is generating more data now than ever. The Velocity, volume & variety of data around is increasing at a tremendous pace. According to IBM data reports, 90% of data available today has been created in the last 2 years. We create 2.5 quintillion bytes of data every day. Approximately 400 hours of video […]

Understanding Artificial Intelligence, Machine Learning and Data Science

Artificial Intelligence (AI), Machine Learning (ML) and Data Science (DS) have become hot topics these days. While there is a lot of excitement around these terms, people use them frequently and loosely, without a clear understanding of their meanings and scopes. In this article,  we try to simplify these technologies and explain the difference between […]

Python IDEs for Data Science: Top 5

Data analysts and data scientists frequently use Python to clean and analyze data since it’s simple to use and is very flexible, owing to it having minimum rules. You can build powerful machine learning models and deploy these models in production using Python. But just installing Python isn’t going to get you anywhere – one […]

The 5 exciting machine learning, data science and big data trends for 2019

The 5 exciting machine learning, data science and big data trends for 2019 Big data and analytics have become crucial to business. But will that spine develop, or will it change the landscape of business yet again? Here’s a sneak peek into what the following months look like. Just a while ago big data was […]

A/B Testing Made Simple – Part 2

In continuation with my previous post in this series on A/B Testing, let us dig a bit deeper into the process by looking at the aspects in the succeeding paragraphs. Separate the Experiences Completely The very first thing to do is to have a hard look at the user randomization and group splitting module that […]

Free Data Science & AI Starter Course

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