Here you can easily determine trends, patterns, and take better decisions for your business

Below topics will be covered professionally

Statistical Methods for Data Analysis (30 Hrs.)

• Introduction to research & research design
• Measurement & Variables
• Data collection methods
• Quantitative & Qualitative data analysis
• Describing Data on a Single Variable
• Summarizing Data from More Than One Variable
• Probability & Probability Distributions
• Hypothesis Testing, Chi-Square Tests, & Analysis of Variance
• Simple Linear Regression, Correlation, Time Series & Forecasting

Data Mining Using SQL 2017 (30 Hrs.)

• Data Mining Context and Life Cycle
• Microsoft Business Intelligence Suite
• Identifying, Staging, & Understanding Data
• Data Model Preparation & Deployment
• Classification Models
• Segmentation and Association Models
• Sequence and Regression Models
• Tuning Models

• Attendees Required Resources: Personal Laptop with at least Windows 10 & Office 2016 is required to access course LAB