Back to Catalog

Statistical Analysis and Visualization for Marketing

BeginnerGuided Project

This lab is dedicated to loading, pre-preparation, basic statistical analysis and visualization in marketing based on personal anonymized customer data and the sales impact of marketing companies. The goal is to determine the impact of marketing campaigns on different groups of customer.

4.4 (83 Reviews)

Language

  • English

Topic

  • Data Analysis

Industries

  • Marketing

Enrollment Count

  • 536

Skills You Will Learn

  • Artificial Intelligence, Machine Learning, Data Science

Offered By

  • IBM

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • May 2, 2024
About This Guided Project
This Lab explains how to create and utilise DataSets for your ML models.  


What you will learn

In this lab, we will learn how to download data, prepare it for processing, perform basic statistical analysis and visualize the outcomes. 

This lab consist of the following steps:
  • Data download - download and display data from a file
  • Data preparation - preliminary analysis of data structure, change of data and table structure
  • Statistical analysis - basic statistical analysis
  • Data visualization - use variety of graphs to present the output of analysis
 
At the end of this lab, you will know how to automate data preparation by practicing on real-world data sets examples and how to visualize data sets in tabular or graphs reports.


Prerequisites

Instructors

Yaroslav Vyklyuk

Full Professor, Doctor of Computer Science, PhD

Dr. Yaroslav Vyklyuk is a full professor at the Lviv Polytechnic National University, Department of Artificial Intelligence Systems. He is an author of over 210 scientific works, 10 monographs, and books, a member of the Editorial Board of 6 international scientific journals, member of the Academic Councils on protection Ph.D. and DrSc thesis in "Mathematical modeling and computational methods". Research Interests: Data Science, Applied System Analysis, Mathematical Modeling, and Decision Making of Complex Dynamic Systems (socio-economic, geographical, tourist, and crisis systems) using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, Econometrics, Econophysics and other Advanced Mathematical Methods with implementation into information, WEB, and geographic information systems.

Read more

Kateryna Hazdiuk

PhD of Software Engineering

I am an assistant professor at the Yuriy Fedcovych Chernivtsi National University, Software of Computer Systems Department; an author of over 40 scientific works and 10 training manuals. Research Interests: Mathematical Modeling of Complex Dynamic Systems (bio-like systems, socio-economic, geographical systems), Data Science, Decision Making using Artificial Intelligence Technology, DataMining, Big Data, Parallel Calculations, Statistics, and other methods.

Read more