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Preparation & Materials On The Way To Be A Data Analyst

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Data Collect & Clean -> EDA & Modelling -> Data Visualization

Step 1. Collect & Clean

Tech: Python, DSA, DBMS, Numpy, Pandas, OpenRefine, MySQL
Non-Tech: Excel

Step 2. EDA & Modeling

Tech: Sk-Learn, Tensorflow, Pytorch, Keras, Pandas_Profiling, FeatureTools
Non-Tech: Apache Hadoop, Apache Spark

  1. Stats Playlist, Stats Session
  2. EDA & Feature Engineering
  3. ML Playlist,OneShot
  4. DL OneShot, Playlist
  5. NLP

Step 3. Data Visualization

Tech: Matplotlib, Seaborn
Non-Tech: Power BI, Tableau

🏳️ Projects & Interviews

Remote Jobs: Blind, F6S, Internships, WWR, Remote.co, FlexJobs

  1. Docker, Kubernetes
  2. Data Science Questions
  3. SQL Questions

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