* Business Analysis
  * Data Analysis

  * Programming language : Python                                                            
  * Query language : SQL (structured)                                                            
  * Data Visulization tools :  PowerBI ... Tableau ... Excel
  * Wireframe tools : Lucid chart, Draw.io
  * MS Office & Google Suite : Excel, Word, Sheets, Docs, PPT, Slides
  * Statistics - Hypothesis testing, Central measures, ...
  * Machine Learning : scikit learn, NLP

  * Supervised Learning algorithms:
       *  Linear regression, Logistic Regression
       *  KNN - classifier & regression, Naive Bayes classifier
       *  Decision tree algorithm, Random Forest, XGBoost algorithm
       *  Handling Imbalanced dataset

  * Unsupervised Learning algorithms:
      * k-means clustering 

  * NLP: (Natural Language Processing)
      * Compressing Textual data : Tokenisation .... POS Tagging .... Lemmatisation
      * Vectorization : 
          * 1-gram .... n-gram vocabulary
          * Binary approach .... Frequency approach ..... TF-IDF scoring