Data Scientist Training Courses


The role of a Data Scientist is to value and use the data to respond to a business problem. The Data Scientists manipulate, explore and analyse data, to extract the key knowledge for business success.

This specialisation aims to cover in a very operational manner the methods, tools and statistical and learning machine models needed by the Data Scientists to solve business problems. Workshops using IBM SPSS Software and R allow the application of the skills learned throughout the courses. The Data Scientist Specialisation Curriculum also gives you an introduction to big data environments.

Skills of a Data Scientist

A Data Scientist should have:

  • Solid foundation in computer science and applications, modelling, statistics, analytics and math.
  • Strong business acumen, coupled with the ability to communicate findings to both business and IT leaders.

Objectives of the Data Scientist Specialisation

  • This curriculum is operationally oriented. It allows you to:
  • Identify relevant data and statistical or machine learning models to address business problems
  • Have a good knowledge of data management and data preparation
  • Have strong knowledge in data analysis using statistical and machine learning models
  • Understand with IBM SPSS Text analytics the logic behind text analysis “Text Mining” and how to combine textual data with structured data to solve business problems
  • Use R, IBM SPSS Modeler and statistics to manage and analyse data
  • Have a basic understanding of the big data and Hadoop environment

Target Audience Data Scientist Specialisation

  • Anyone with academic experience in a scientific discipline looking to move into the world of Data Science
  • Business Intelligence consultants looking to move into the world of predictive analysis

Prerequisites Data Scientist Specialisation

  • General computer literacy
  • Anyone with academic experience in a scientific discipline

Data Scientist Certification Programs and Certification Tracks

Data Scientist Specialisation Program

  • Introduction to Big Data : Hadoop and its ecosystem
  • Introduction to R programming
  • Exploring and Visualising the data
  • Preparing data to the analysis with IBM SPSS Modeler
  • Looking for relationships between data

  • Modeling
    • Supervised Classification
    • Segmentation
    • Association Models
  • Text Mining

  • Workshops
    • Case study in Marketing : Basket Analysis
    • Case study in Telco
    • Case study in Banking
    • Case study in Industry : Predictive Maintenance
    • Case study in Text Analytics Customer comments analysis

Data Scientist Specialisation Programme - Training and Certification Overview

 Course Code  Title  Duration
GKBIGD  Introduction to Big Data : Technologies and tools  2 days 
U6PAR2G  Introduction to R programming + hands-on  3 days 
0G512G  Introduction to Statistical Analysis using IBM SPSS Statistics  2 days 
0A005G  Introduction to IBM SPSS Modeler and Data Mining  2 days
0A055G  Advanced Data Preparation with IBM SPSS Modeler  1 day
Certification: IBM Certified Associate - SPSS Modeler Data Analysis 2 days individual preparation for the exam + one day exam 3 days 
0A0G2G  Automated Data Mining with IBM SPSS Modeler 1 day 
Certification: IBM Certified Associate - SPSS Modeler Data Mining one day individual preparation + one day exam  2 days 
0A032G  Predictive Modeling with IBM SPSS Modeler  3 days 
0A045G  Clustering and Association Modeling Using IMB SPSS Modeler  1 day
Certification: IBM Certified Specialist - SPSS Modeler Professional 2 days individual preparation + one day exam  3 days 
0A104G  Introduction to IBM SPSS Modeler Text Analytics  2 days 
Total Duration Data Scientist Specialisation  25 days 

More information

For more information about the Data Scientist Specialisation Program, please contact your Global Knowledge Training Advisor by calling 0118 912 1929 or emailing