## Mastering in Data Science

September 13, 2019 Leave a comment

The following technical blogs are coming to be covered in Data Science, Machine Learning & Analysis , visualization track. Be an enterprise Data Scientist by following the Data Scientist fast track modules: STAY TUNED!!

**A lap around MACHINE LEARNING**

Supervised and unsupervised learning

Kernel based methods

Text mining techniques

Performance evaluation

**Exploring CATEGORICAL DATA ANALYSIS**

Types of categorical data

Generalized linear models

Contingency tables

Simple and multinomial logistic regression models

**Evaluation of STOCHASTIC PROCESSES AND SIMULATION**

Random Variables and Distributions

Monte Carlo Simulation

Discrete Event Simulation

Variance Reduction Techniques

**Data OPTIMIZATION Techniques**

Linear Programming

Integer Programming

Multi-criteria Optimization

Goal Programming

AHP (Analytic Hierarchy Process)

Data Envelopment Analysis (DEA)

**ECONOMETRIC METHODS in Data Science**

Time Series Analysis

GARCH Models

Fixed Effects Estimation

Random Effects Estimation

**STATISTICS for DATA SCIENCE**

Probability Theory

Statistical Inference

Sampling Theory

Hypothesis Testing

Regression Analysis

**Real World Case Studies in Data Science**

- Social Media Mining with R & Microsoft PowerBI

- Experimentation interactive R based visuals with Shiny apps

- What’s next with Julia