Data Science Parichay is an initiative to help people starting in data science learn the skills through developing and applying strong fundamentals.
Tutorials with Code
Check out our tutorials on a range of topics including NumPy, Pandas, Matplotlib, etc. We also have a number of python specific tutorials on topics like python for data science, strings, lists, dictionaries, etc.
- Calculate distance between two points in PythonIn this tutorial, we will look at how to calculate the distance between two points in Python with the help of some examples. There are a number of ways to compute the… Read More »Calculate distance between two points in Python
- Most frequent value in a Pandas ColumnIn this tutorial, we will look at how to get the most frequent value in pandas column with the help of some examples. How to get the most frequent value in a… Read More »Most frequent value in a Pandas Column
- Calculate Standard Deviation in PythonStandard deviation is an important metric that is used to measure the spread in the data. It has useful applications in describing the data, statistical testing, etc. There are a number of… Read More »Calculate Standard Deviation in Python
- Pandas – Split Column by DelimiterPandas dataframes are great for manipulating data. It might happen that you have a column containing delimited string values, for example, “A, B, C” and you want the values to be present… Read More »Pandas – Split Column by Delimiter
How it works
We focus on community-based learning where people learn from active and engaging interactions from their fellows with mentors guiding them from time to time.
We help you with detailed tutorials with code examples to learn data science.
We conduct sessions ranging from productivity, chapter discussions of relevant books to group projects to get you hands-on with data science and machine learning applications.
Work on your resume and profile to better prepare you for your first data science job.
Request an Invite
We’re building a community of people like you who want to learn data science using some of the best resources that are available on the internet.