Data Scientist Specialisation Curriculum
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
- IBM Certified Associate - SPSS Modeler Data Analysis
- IBM Certified Associate - SPSS Modeler Data Mining
- IBM Certified Specialist - SPSS Modeler Professional
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
| 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 | lustering 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 | |
