Analytics for Business: Discovering Insights from Data
August 15, 2019 - August 17, 2019
Thursday - Saturday
9:00 am - 5:00 pm
Early Eagle Rate:
August 01, 2019
In the age of big data, it is almost effortless to obtain information and data sets that can be helpful in improving our strategies and making a decision. But the amount of data available can also be overwhelming and confusing. Examining, analyzing, and presenting the data, with only a minimal understanding of the right methods and tools, can result to misleading presentations and futile strategies.
As we progress in this Digital Economy, everyone should be able to effectively collect and structure applicable meaning from data and translate it into a compelling presentation.
This three-day program combines the basics of data analytics such as methods for analyzing and using statistical data; and the fundamentals of data and results presentation through the use of appropriate visual representation including frequency tables, charts, scatterplots, among others.
Who should attend
This program is ideal for professionals, executives, managers, data analysts, and support staff from Operations, R&D, Marketing, Sales, Finance, and HR who are involved in presentations that may relate to performance, trend analysis, budgeting, forecasting, and others.
After the course, you will:
- Apply appropriate methods in analyzing, presenting, and using relevant data;
- Learn how to translate applicable data into the appropriate visual representation; and
- Effectively communicate and present the most relevant information
- Planning for Data Analysis
- Concepts in Data Analysis (The Qualitative and Quantitative Research)
- The Data Analysis Cycle
- Steps in Data Analysis
- Data Preparation
- Techniques for handling and analyzing data
- Techniques in analyzing high volume of business data
- Techniques in analyzing high dimensions of business data
- Data Presentation
- Understanding Statistical Significance
- Descriptive Analysis and the Statistical Models
- The Basics of Descriptive Analysis (Frequency Distribution, Measure of Central Tendency, Variability, Bivariate)
- Appropriate usage of the Statistical Models (T-Test, ANOVA, Chi-Square)
- Testing the Hypothesis
- Presenting Data Using Frequency Table, Charts and Graphs
- Interpretation of data
- Presentation of Findings
- Presentation of the Summary of Findings
- Presenting Conclusion and Recommendations
- Tips in Writing/Organizing a comprehensive Output
Mr. Mario R. Domingo
is the Founder of Neural Mechanics, a deep-learning solutions company headquartered in Singapore. He is responsible for helping client companies transform their businesses by focusing on their customers using deep-learning in enterprise architecture. He is also the Program Director for the Diploma in Applied Project Management at the Ateneo Center for Continuing Education.
Prior to this, he spent 10 years at Globe Telecom, Inc. where he led the business transformation, product design and creation, and the enterprise discipline in project management. He spent 19 years in programs and projects for defense, telecommunications, automotive, and information technology.
Mr. Domingo has a Bachelors degree in Business Administration, Major in Finance, and a Masters degree in Finance and Applied Economics from the University of Southern California, USA.