Complete Roadmap to Start your career as a Data scientist 2021
What is Data Science ?
Description. Data science is the art of uncovering the insights and trends that are hiding behind data or We can make strategic choices for a company or an institution. It is a Field about processes & system to extract data from various forms of whether it is structured or Unstructured form.
“ I think it’s going to be very exciting for us all to codify this field.”
Just think , If you have data , u have curiosity & you are working with data & you are exploring also manipulating with data .
What questions can Data Science answer? The very exercise of going through analyzing data , trying to get some answer from it .
{ } If you want to Start you career in this field , Make sure you have clear idea on how big companies manipulate data and use it for their growth and to attract more customers at a time , by using simple algorithms . Just go through with this link , and watch this movie by Ex-developers of big companies
{ Let’s Begin : }
Prerequisites : 1)Statistical Math ( Linear Algebra , Graphs , Probability , Logical statements ) 2) Basic Programming language skills ( Python , C++, R etc.) 3) Git 4) SQL
Here are some of the paid Courses listed below , offered by various Educational Websites such as ,
After Completing all basic Courses , or after having a good knowledge on basic things , Just go thorough with this Roadmap , But If you still confused , i will suggest you to go through again
The roadmap defined is prepared based on my little experience in data science. This is not the be-all and end-all learning plan. The roadmap may change to better suit any specific domain/field of study. Also, this is created keeping python in mind as I personally prefer to use python.
Resources:
- [Book]Machine Learning Engineering by Andriy Burkov — this is a book that captures the real scenario of deploying/monitoring a model in a production environment.
- Data Engineering Nanodegree by Udacity — as far as a compiled list of resources is concerned, I have not come across a better-structured course on data engineering that would cover all the major concepts from scratch.
- Introduction to Data Engineering — By datacamp. A good resource to get started with building ETL pipelines with a host of tools.
- Data Engineering, Big Data, and Machine Learning on GCP Specialization — You can complete this specialization offered by Google on Coursera that walks you through all the major APIs and services offered by GCP to build a complete data solution.
Thanks :) For reading this , Share it will your friends And you can follow me too Akash Singh ( @akashw3b)
