Data Science Simplified

Data Science is a multidisciplinary approach that combines principles and practices from the fields of mathematics, statistics, artificial intelligence, and computer engineering to analyze large amounts of data.

Big Data

Big data refers to data sets that are too large or complex to be dealt with by traditional data-processing application software.


Statistics enables you to analyze the data effectively. It enables you to reach better and more accurate conclusions.


Insights allow you to better understand your business and optimize it based on data analysis and defined logics.


  • Rahul Verma

    17+ years of experience in software development, IoT, telecom, banking, finance, embedded systems, data science, machine learning, and artificial intelligence with multiple market leaders worldwide. I hope you found this blog post informative and helpful. Cheers!

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Data Science Tools

A Data Scientist is responsible for extracting, manipulating, pre-processing and generating predictions out of data. In order to do so, we require various statistical tools and programming languages. Here is the list of 4 key data science tools that most of the data scientists used.

Python (iPython)

Jupyter IDE

Jupyter is an open-source tool based on iPython, which supports multiple languages like Python, R and Julia, for data visualisations, and presentations work.



For Data Visualisation

Matplotlib is a plotting and visualization library developed for Python. It is the most popular tool for generating graphs with the analyzed data.


Data Visualisation

Tableau is a Data Visualisation software, focused on industries working in the field of business intelligence.



Friend of Every Data Scientist

Excel is a powerful analytical tool for Data Science. While it has been the traditional tool for data analysis, Excel still packs a punch.

What Students Say

Simplifying isn't just about getting tasks done in less time, or finding ways to save money. Ultimately, it's about spending less time on what is less important and giving yourself more time and space for what is important.
Suresh Menon

Suresh Menon

Engineering Student

Explanation is very effective and all the codes written in the blog is actually working. Thank you for the support.

Ramdhan Chaudhary

Ramdhan Chaudhary

Software Tester

I was a software tester but I had became successful to switch my profile as a data scientist by following these courses.

Neelu Gupta

Neelu Gupta


I have used so many codes written by basic engineers into my freelancer projects. Thanks for writing such a detailed content.


Simplified All Topics in Bits and Bytes

Different Communication Protocols in Smart Grid

There are so many protocols used in smart grid system and managing applications and we will discuss here about the different communication protocols in Smart Grid. The smart grid is continuously evolving day by day and the decision regarding the communication protocol for a Smart Grid Solution will be influenced by technical factors, regulatory mandates, and the policy guidelines specific to the country of implementation.

DLMS and COSEM Protocol

DLMS and COSEM is an intelligent metering protocol used for the utilities such as electricity, gas, water, heat, etc. In this post, I am writing here about the process of smart energy metering, control, and management using DLMS/COSEM protocol and the significance of the OBIS code with an example.