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Data Preparation and Basic Statistical Analysis in Retail

BeginnerGuided Project

This lab is dedicated to downloading, preparing and making basic statistical analysis of Retail based on Global Food Prices data from the World Food Programme covering foods such as maize, rice, beans, fish, and sugar for 76 countries and some 1,500 markets.

Language

  • English

Topic

  • Data Analysis

Industries

  • Retail

Skills You Will Learn

  • Machine Learning, Artificial Intelligence, Data Science

Offered By

  • IBM

Estimated Effort

  • 1 hour

Platform

  • SkillsNetwork

Last Update

  • March 20, 2023
About this Guided Project

This lab will teach learners to download preparation and statistical analysis including visualization of a DataSet.
 
The basic difficulty of statistical analysis of real data is that it is prepared or presented in a form that is not convenient for machine learning methods. Very often real data consists of mixed information in different scales. This data must be found and rescaled or recalculated. This lab shows methods of automatic preparation of real data for such cases. There is also the ability to competently manipulate and transform big data in order to obtain a convenient statistical report both in tabular form and in the form of graphs.  This will also be addressed here.


Instructors

Rav Ahuja

Global Program Director, IBM Skills Network

Rav Ahuja is a Global Program Director at IBM. He leads growth strategy, curriculum creation, and partner programs for the IBM Skills Network. Rav co-founded Cognitive Class, an IBM led initiative to democratize skills for in demand technologies. He is based out of the IBM Canada Lab in Toronto and specializes in instructional solutions for AI, Data, Software Engineering and Cloud. Rav presents at events worldwide and has authored numerous papers, articles, books and courses on subjects in managing and analyzing data. Rav holds B. Eng. from McGill University and MBA from University of Western Ontario.

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Andrei Moskalev

CEO

Integrated Tech Lab ceo

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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.

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