Leadership Development
412
Personal Effectiveness
53
Workforce Development
263
Auditing and Governance, Risk and Compliance
266
AI in Customer Service
6
Operations Readiness and Assurance
68
Hands-on Automation and Process Control
10
Data Management and Business Intelligence
25
Transportation Management and Aviation
88
Strategic Thinking
220
Healthcare and Pharmaceutical Management
258
Performance and Productivity
128
Engineering and Instrumentation
37
Tourism Management
164
Financial Technology (FinTech)
4
Short Masters
2
Health, Safety and Environment
69
Sales Leadership
163
Education Management Courses
12
Public Relations
213
Maintenance and Engineering
213
Leading Projects
182
Contracts Management
186
Service Leadership
49
Security Management
16
Influence and Communication
29
Business Continuity and Crisis Management
6
AI in Strategic Planning
14
Finance for Non-Financial Managers
229
Oil and Gas
50
Construction Management
109
Government and Public Sector
134
Procurement and Supply Chain Management
340
Graphics & Design Skills Courses
17
Banking, Insurance and Financial Services
156
Legal
12
Administration and Secretarial
149
IT Management and Cyber Security
336
Women Only Courses
Sustainability
155
Digital Innovation and Transformation
17
AI in Administrative & Secretariat
12
Predictive models have become accessible to all users with the advancement of technology. This course offers a complete overview of supervised Machine Learning algorithms, and their role in the enhancement of predictions in most industries and by most organizations.
This course covers all models utilized under different technologies (SAS, Statistica and SPSS), enabling participants to become expert practitioners by evaluating and selecting appropriate solutions with suitable technical packages for their organizations.
This course includes interactive discussion and the use of exercises and case studies. Each Machine Learning algorithm is supported by its own case study with step by step outputs that go in parallel with its multi stage analysis. All algorithms are detailed with sequential screen shot applications on comparative technologies such as SPSS, SAS, Statistica and Excel.
By the end of the course, participants will be able to:
Any level of professional interested in how Machine Learning can assist their organization, would benefit from this course. These include professionals from industries including, but not limited to, banking, insurance, retail, government, manufacturing, healthcare, telecom, and airlines.
Ready to develop your leaders?
Talk to us about our public courses, or a programme built around your team.
Leadership programmes from first-line supervisor to senior executive
Explore Subjects
Ready to develop your leaders?
Talk to us about our public courses, or a programme built around your team.
Leadership programmes from first-line supervisor to senior executive
Explore Subjects
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