Introduction to R
o Installing R
o Basic Operations In R
o Vectors, Factors, Matrices, Lists
o Loops & Conditional Statements
o Data Frames
PYTHON for Data Science
Data Visualization in Python
SQL
o Basics Of Sql
o Functions
o Advanced Sql using Window functions
TABLEAU
o Tableau Interface
o Connecting To Data And Basic Visualizations
o Dashboard
INTRO TO DATA SCIENCE
o Intro To Data Science
o Data Mining
o Machine Learning
o Types Of Data Analytics
o Big Data
o Business Understanding
o Data Understanding
o Data Preparation
o Model Building
o Model Evaluation
o Model Deployment
Data Storage
o Intro To Data Warehousing
o Defining Data Warehouse Dimension Modelling
o Designing A Data Warehouse
o Structure Of Data Warehouse
o Data Cubes
o Operations On Data Cube
Descriptive Statistics
o Measures Of Central Tendency
o Spread Of The Data
o Association Between Variables
Inferential Statistics
o Basics Of Probability
o Probability Distribution
o Sampling & Sampling Distribution
Hypothesis Testing
o Concepts In Hypothesis Testing
o Setting Up Hypothesis Test
o When Not To Use Z-Test
Exploratory Data Analysis
o Introduction To Eda
o Univariate Analysis
o Multivariate Analysis
Linear Regression
o Simple Linear Regression
o Multiple Linear Regression
Supervised Classification 1
o Intro To Logistic Regression
o Multivariate Logistic Regression
o Model Evaluation
Supervised Classification 2
o Hyperplanes & Support Vector Machines
Unsupervised Learning: Clustering
o Intro To Clustering
o K Means Algorithm
o K Means In R
o Hierarchical Clustering
o Hierarchical Clustering In R
Model Selection
o Principles Of Model Selection
o Model Evaluation
Time Series
o Intro To Time Series
o Working With Stationary Time Series
o End-To-End Analysis
Decision Trees
o Intro To Decision Trees
o Algorithms For Decision Tree Construction
o Truncation & Pruning
Neural Networks
o Structure Of Neural Networks
o Information Flow In Neural Networks
o Training A Neural Network
o Training In Batches
o Representation Learning
o Recurrent Neural Networks
o Neural Networks In R
Ensembles
o Bagging & Boosting
Spark
o Intro To Spark
o Data Analysis Using Spark
o Data Analysis Using Sql
o Machine Learning Using Spark