The Green Revolution during the 1950s and 1960s remarkably drove up the global food production around the world, saving a billion people from starvation. The revolution led to the adoption of new technologies like high-yielding varieties (HYVs) of cereals, chemical fertilizers and agro-chemicals, better irrigation and mechanization of cultivation methods. India followed suite and adopted […]
In the last few blogs, we saw how to summarise and analyse the data using statistical methods and visualisations. But the raw data need to be processed to convert it into a usable shape. Data Preparation is the most important and foremost part of Data Science. It involves data pre-processing and data wrangling. Raw data […]
Continuing with the last series of blogs, in this, we are going to explore graphical ways of representing descriptive statistics. We have learnt that we can get the measures of central tendency and dispersion to understand the centre and spread of the features (a variable is a feature in a dataset). It is easy […]
“If you don’t like to read, you haven’t found the right book.” – J.K. Rowling Well, this is absolutely true in my case. I had never read a book outside of my school curriculum ever before I stumbled upon the Harry Potter series. The books beautifully depict the adventurous journey of little novice magicians to […]
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 […]
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 […]
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 […]
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 […]
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 […]
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 […]
