All chart types, Filtering, Grouping, calculated field creation ,Dashboard with action, Storyboard.
Learn the statistics fundamentals with easy – to – understand implementation in excel. Explore & infer insights from the visualizations made using Business Intelligence tool Tableau. Grasp the coding skills required for Data Science in both R & Python to advanced level of implementing MC models. Know to handle & extract the needed with top Big data tools like Hadoop with basics of SQL.
All chart types, Filtering, Grouping, calculated field creation ,Dashboard with action, Storyboard.
Z test, T test, Regression, Statistical models in excel with case studies.
SQl fundamentals, Big data basics with Hadoop, MapR and overview of Apache scoop, Flume.
R basic funstions & packages, R_dplyr, Caret, Lattice, Python - Pandes, Numpy, Scipyu, Matploy lib.
Linear & Logistic regression, support vendor machines, Decision trees, Random forest, Gradient boosting, K-Nearest Neighbors. K-means clustering, Hierarchical, Neural Networks, Sentiment Analytics, Naïve Bayes.
Treating missing values with MICE / Amelia, outlier values treatment with different techniques. New bias creation, Dummy variables & one hot encoding, combining features, creating new variables.
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