Course Description
Gain essential skills in today’s digital age to store, process and analyze data to inform business decisions.
In this course, you will develop your knowledge of big data analytics and enhance your programming and mathematical skills. You will learn to use essential analytic tools.
What Do Participants Learn?
- How to develop algorithms for the statistical analysis of big data;
- Knowledge of big data applications;
- How to use fundamental principles used in predictive analytics;
- Evaluate and apply appropriate principles, techniques and theories to large-scale data science problems.
Who Should Attend?
What Will the Learning Experience Include?
Phase: 1
Introduce
- Comprehensive pre-program activities include:
- Web-based information forms & surveys completed by attendee.
- Direct consultation with the attendee about the expectations.
- During the training, participants engage in data, activities, and conversations that lead to insight and knowledge.
- Participants learn from expert trainers who have both academic and business experiences.
- Highly applicable training content & instructive activities for adding depth to training topics.
- **A half-day site visit for integrating the experience & plan next steps. Opportunities to provide connections, ideas & support.
Phase: 2
Explore & Practice
Phase: 3
Apply
- Apply & sustain the learning experience by using this ongoing support:
- To ensure participant has new skills or behavior progress.
- Optional, fee-based mentoring & coaching with the trainer.
- Training materials & additional documents (e-books, pdf files, presentations and articles)
- Evaluate your training experience by giving us feedbacks and help us to reach our organizational goals.
- Participant's Evaluation
- Trainer's Evaluation
Phase: 4
EVALUATE
- cloud-based big data analysis;
- predictive analytics, including probabilistic and statistical models;
- application of large-scale data analysis;
- analysis of problem space and data needs.