Data Analysis ( for IT + Non-IT)

Course Banner
Data Science Program Banner

Course Description

This module presents the assumptions, principles, and techniques necessary to gain insight into data via EDA--exploratory data analysis. we will be covering the essential exploratory techniques for summarizing data. These techniques are typically applied before formal modeling commences and can help inform the development of more complex statistical models. Exploratory techniques are also important for eliminating or sharpening potential hypotheses about the world that can be addressed by the data.
 

Objectives

Objectives
  • What is Data ?
  • Use a variety of basic techniques in understanding and interpreting data;
  • Apply elementary statistical methods in analyzing business scenarios and problems;
  • Think critically and creatively about the uses and limitations of statistical methods in business;
  • Use statistical package and interpret the output, appreciate the applications of information technology for statistical analysis in business
     

Course Topics

Course Topics
  • Data, Summaries, and Visuals
  • What is Data?
  • Descriptive Statistics
  • Visualizations
  • An Introduction to Statistical Learning (ISLR)
  • Python Numerical Stack and EDA File
  • Basic EDA workflow

Course Mode

Course Mode
Blended (Online and Face-to-Face)

Course Level

Course Level
Intermediate

Course Language

Course Language
English
Arabic

Course Category