Data Analysis Course

Join Us on the PCI Learning & Development Journey > Business Technical Management Programs > Data Analysis Course
Data Analysis Course

Introduction: 

Statistics is the method of conducting a study about a particular topic by collecting, organizing, interpreting, and finally presenting data. Being a statistician at an elementary level may simply mean noticing patterns in daily circumstances and drawing conclusions about those patterns.

This training program introduce participants to use proven data analysis and statistics tools that could save them hundreds of hours in number crunching, besides providing them with improved approaches for analyzing important technical and business decisions and opportunities.

Course Objectives:      

The purpose of statistics and analyzing data is to obtain usable and useful information. The analysis, irrespective of whether the data is qualitative or quantitative, may:

  • Describe and summarize the data
  • Understand basic chart types and their usage
  • Identify relationships between variables
  • Compare variables
  • Identify the difference between variables
  • Forecast outcomes
  • Enable decision making
  • Choose method of representation

Course Content:

Basic Concepts

  • Data versus Information
  • What is Data Analysis?
  • Types of Variables
  • Get new perspectives on data with optimization
  • Just tables, Data Analysis through Life Cycle Costing, LCC

Statistics: Plot your data!

  • Get new perspectives on data with scatter plots
  • Get new perspectives on data with histograms
  • Other basic types of charts
  • Basic Charts in Excel
  • Other useful programs
  • Introducing (R)
  • Introducing Minitab

Analyzing & Testing Data Using Applied Statistics

  • Statistical Basics
  • Comparison Based on Central Tendency
  • Measuring variability and spread
  • The Box plot diagram
  • Easy & fast charting and tabling techniques for better decision making – The solver
  • Basic Statistical Functions in Excel
  • Calculating Probabilities
  • Using Normal distribution
  • Using Statistical Sampling

Analyzing & Making Operations Decisions

  • How is your business performing? – Regression
  • How efficient are your operations? The Error!
  • Optimizing workforce scheduling
  • Prioritizing vital areas to solve problems with Pareto Diagram

Case studies: Statistics and Data Analysis in decision making

(Case studies will be chosen based on client industry)

Course review and Road Map