The world of arrays with NumPy, Empowering data analysis with pandas, Data cleansing, Data Operations, Inferential Statistics: Various forms of distribution, Az-score, p- score, One-tail test, F distribution, Chi-square distribution, ANOVA.

What is data mining, Presenting the analysis, studying the Titanic, Making Sense of Data through Advanced Visualization : Charts, plots, Heat maps, histograms, scatter plot matrix, Area plots.

Decision trees, Linear regression, Logistic regression, Naïve Bayes Classifier, k-means clustering, Performing predictions with Linear Regression, Simple Linear regression, multiple regressions, training and testing a model.

Logistic regression, Generating recommendation with collaborative filtering, Used-based & Item-based.

Pre-processing data, creating a world cloud, word and sentence tokenization, parts of speech tagging, stemming and lemmatization, performing sentiment analysis on world leaders using Twitter.