Data Science 101

Data Science with Keshav - Data Science 101

Hello, and welcome to my tutorial series, “Data Science with Keshav“. My name is Keshav Bhandari and I am currently working as a full-time professional Data Scientist. Through this tutorial series, I am going to share my knowledge with you in this field. In this tutorial series, I will cover all the necessary fundamental topics that you will need to have a good understanding in the realm of Data Science. I am going to assume that the readers of this series have no prior knowledge in the field and cover the tutorials ranging from the very basic to advanced. 

Are you curious about what data science actually is? Well let me tell you, Data Science is nothing new. It has been practiced ever since the invention of numbers. However, the advancement in technology and tremendous amounts of data in today’s age has unleashed new opportunity in the area. This is where I would like to relate a term ‘Big Data’. Data Science is a way of exploiting data to explore new insights and inferences. These insights and inferences have a huge impact. From medical world to education, from industry to farm, correct utilization of data can provide crucial information that can be a huge factor in the growth everywhere.

We will discuss all these in detail as we continue along with the series, so subscribe if you haven’t already and follow my upcoming posts if you want to learn more.

Data Science with Keshav – Syllabus

Ok, Ok I know, you might be wondering what fundamental topics I am going to cover in the series:

  • Data and Sources of Data,
    • Data in Real World
    • Web scraping Basics
    • Kaggle Competition and why it matters
    • …… (others)
  • Data Munging, Cleaning, and tidying
    • Data Manipulation techniques
    • Philosophy of tidy data
    • Data Manipulation tools
  • Into the programming
    • Fundamental of Pandas, data manipulation library
    • Numpy and Scipy

I will be adding more sections to this content. Stay tuned and stay with me.


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