This tutorial is designed for Computer Science graduates as well as Software Professionals who are willing to learn data science in simple and easy steps using Python as a programming language.

Here are some of the technical concepts you should be aware of before starting with Data Science: Statistics, Machine learning, Data modelling, Databases, and programming in python.

In Data Science, Python libraries like Numpy, Pandas, and Matplotlib are used for data analysis and visualization. Python frameworks like Django, and Pyramid, make the development and deployment …

Audience This tutorial is designed for anyone willing to start their career in data science as this tutorial is all about what is data science, important tools for data science, courses, top interview questions …

Practice 3600+ coding problems and tutorials. Master programming challenges with problems sorted by difficulty. Free coding practice with solutions.

Python in Data Science The programming requirements of data science demands a very versatile yet flexible language which is simple to write the code but can handle highly complex mathematical …

Python has several methods are available to perform aggregations on data. It is done using the pandas and numpy libraries. The data must be available or converted to a dataframe to apply the …

Python data types are actually classes, and the defined variables are their instances or objects. Since Python is dynamically typed, the data type of a variable is determined at runtime based on the …

Learn fundamentals of Coding, Data Structures, Object-Oriented Programming, and more. Pave the way to set your career in Data Science, Artificial Intelligence, and Machine Learning with Python online …