Introduction

Data Analytics for Business


I. Ozkan, PhD

Professor
MIS
Cankaya University

iozkan@cankaya.edu.tr

Fall 2023

Why Data Analytics for Business



PRELIMINARY OPEN DISCUSSION



Investopedia

Data Analytics
Data Analytics

University of Pennsylvania

“Whether you’re seeking an entry-level or leadership role, it’s increasingly apparent that to be successful in today’s job market, it is critical that you are able to analyze data and communicate the findings in a way that is easily understood.”

“Data analytics also gives companies the power to make faster, better-informed business decisions—and avoid spending money on ineffective strategies, inefficient operations, misguided marketing campaigns, or unproven concepts for new products and services.”

“Businesses can also use data to inform their strategies and drive targeted marketing campaigns to help ensure promotions engage the right audiences.”

“Another major benefit to data analytics is the ability to use insights to increase operational efficiencies. By collecting large amounts of customer data and feedback, businesses can deduce meaningful patterns to optimize their products and services.”

“When it comes to innovation, data analytics allows businesses to understand their current target audience, anticipate and identify product or service gaps, and develop new offerings to meet these needs.”

Books Statistics/Data Analysis/Econometrics/ML

Books Statistics/Data Analysis/Econometrics/ML

Books Statistics/Data Analysis/Econometrics/ML

More Books

Try following for data analytics reosureces:

Must Visit Online Books Web Site

Bookdown

More Books

For Linear Models.
Introduction to Econometrics with R

Using R for Introductory Econometrics, pdf

Trees, Linear Models, Non-Linear Models
Applied Predictive Modeling By Max Kuhn and Kjell Johnson

Others
Pattern Recognition and Machine Learning, Bishop, Christopher


Tutorials, Videos, Lectures

In-depth introduction to Statistical Learning - Video Lectures


… Try Google Some Keywords

An Extra for R:

UCLA Institute for Digital Research and Education

Course Content: Just Keywords


- Support Vector Machines (This part will be left to the end of the course: If time permits)

Course Content: Topics Discussed

Grading