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Data Scientist Check list

Preparing Data Science Arsenal

  • Scripting Language : Python  
  • Data Visualization: Matplotlib , Pandas builtin visualisation,  Seaborn, Plotly and Cufflinks, Geographical Plotting ,Tableau/D3.js 
  • Data Analyses and Manipulation: Numpy , Pandas.
  • Linear & Logistic Regression
  • Bias Variance Trade off
  • K Nearest Neighbors
  • Decision Trees & Random Forest
  • Support Vector Machines
  • K Means Clustering
  • Principle Component Analysis
  • Recommender Systems
  • Natural Language Processing
  • SQL / Relational Database
  • Big Data & Spark & Hadoop
  • Neural Network & Deep Learning
  • AWS
  • Web Scraping : Beautiful Soup, Scrapy,  HTML CSS

Trust me, this list is daunting for me aswell. May be that is why I keep calling this journey as a challenge. This list is made after a thorough research of the field. These are tools, concepts and libraries I plan to dive into during this 100 day challenge. For every topic I will share the resource material and exercises , if possible.



Comments

  1. Yalamarthi Tulasi17 August 2019 at 18:43

    Hello sir, I am really interested in doing data science. I have been searching for the required materials and concepts. Fortunately, I read your blog.
    Can u plz post the schedule and resource materials of remaining days? I will be thankful to u sir.


    ReplyDelete

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