# Apply Data Science to real world problems

## Learning Resources

Accelerate your learning by applying Interpretations of data science concepts from industry point of view.

## PythonProgramming

Learn the absolute basics of programming with Python for Machine Learning

## PythonAI/ML

Learn how AI/ML algorithms work. How to implement it for real life scenarios.

## PythonCase studies

End to End Machine Learning case studies solved using python ## Latest Blogs

Thoughts, ideas and tutorials about Data Science

Stats 101: How to do sampling in R?
To perform sampling in R, one can take help of various functions available for each type of sampling technique.
Stats 101: What is the ​Sampling Theory
Sampling means choosing random values. A random sample exhibits the properties of the whole population.
Stats 101: Measures of Location [Quartiles]
Measures of location is a combination of values for a data which can summarise its distribution.
Stats 101: Measures of Spread [Standard Deviation]
Standard Deviation helps to understand 'On an average, how far away each data point is from the mean value'
Stats 101: Measures of Spread [Min Max]
It is very important to explore the data and understand it, before you can use it for solving problems.
Stats 101: Why Median is a better measure of central tendency
When you are trying to understand about the central tendency of a numeric dataset, the median is a better way