Descriptive / Inferential statistics
Various data types
Exploratory data Analysis
Random Variables
Probability
Probability Distributions
Discrete Probability distribution
Continuous probability distribution
How to fit the data
Hypothesis test
Fitting a linear model
Discrete terms
Multivariate models
Interaction terms
Generalized models
How to select an algorithm
Predictive Accuracy
Cross validation
Estimates of predictive accuracy
Model under fitting and over fitting
Decision Tree
Theory of Decision tree
Statistics behind decision tree
Case study approach
Hands on using R & Python
Random Forest
Theory on Random forest
Hands on using R & Python
K-NN
Theory on K-NN
Case study approach
Hands on using R & Python
Bayesian classifier
Theory on Naïve Bayes
Case study approach
Hands on using R and Python
k-Means cluster
Distance measures
Case study approach
Hands on using R & Python
Agglomerative clustering
Case study approach
Hands on using R & Python
Text Mining
Sentimental Analysis using R & Python
Kernel SVM classifier
Theory on SVM
Case study approach
Hands on using R & Python
Neural Networks
Simple neural Network
Multi-layer perceptron
Hidden Layers
Hands on using R & python
Data Frame
Matrices
Vectors
Lists
Packages
Reading different data into R
Graphical representation
Imputation
Dummy Variable creation
Summary statistics
Correlation
Covariance
Understand Tableau Desktop Architecture and how to use Tableau in real life
Tableau statistics and Tableau interactive dashboard
Master Tableau Reporting, Graphs, Maps, Table Calculation
Simplify and organize data with data connections
Master Special Field Types and Tableau Generated Fields
Learn to implement Data Aggregation and Data Blending in tableau
Understand R Connectivity with Tableau
Gain knowledge on using R scripts in Tableau
Perform real time analytics and Tableau data visualization
Prepare for Tableau Desktop Qualified Associate Exam
TABLEAU
Introduction to the various file types
How to access help
Quick introduction to the user interface in tableau
How to connect to the data sources
How to join various data sources
How to create data visualizations using tableau feature "show me"
Recorder and remove visualization fields
How to sort and filter data
How to create a calculated field
How to perform operations using cross – tab
Working with workbook data & worksheets
How to create a packaged workbook
Creating various charts
Creating maps & setting map options
Creating dashboards & working with dashboard
Introduction to r
Working with packages
Performing various regression and
Data mining techniques using R studio
Installation of python
Importance of python
Difference between r studio and python
How to perform various functions
How to view module content in python
How to request libraries in python
How to access the content
How to create content
Performing various regression and data mining techniques using python