Training Program on Data Mining / Predictive Analytics
Business Intelligence Solutions and Walker Bernardo Consulting jointly developed a data mining/predictive analytics training program. The training provides numerous avenues for enhancing the synergy of good technical, managerial and leadership skills in you, in your team, and in your data rich organization.
Our customized vendor-neutral one or two day training includes the following courses:
The training does not require any previous knowledge of data mining or predictive analytics. Each course is industry specific and has the following structure:
For example, training for executives has an emphasis on a strategy-driven solution for your organization, and management issues of data mining, but not on particular aspects of data mining techniques or products. Decision makers will learn new ideas, test them and look at the big picture in order to take proactive actions rather than be constantly reacting to problems.
Each of these courses is customizable and reflects the specificity of a client's industry and problems of interest. The core of the training is based on answering the following set of questions.
Business Intelligence Solutions and Walker Bernardo Consulting jointly developed a data mining/predictive analytics training program. The training provides numerous avenues for enhancing the synergy of good technical, managerial and leadership skills in you, in your team, and in your data rich organization.
Our customized vendor-neutral one or two day training includes the following courses:
- Data Mining for Risk Management
- Data Mining for CRM
- Sales Analytics
- Marketing Analytics
- Predictive Analytics
The training does not require any previous knowledge of data mining or predictive analytics. Each course is industry specific and has the following structure:
- Introduction
- Methodological Aspects of Data Mining/Predictive Analytics
- Technical Aspects of Data Mining/Predictive Analytics
- Management Aspects of Data Mining (Project Level)
- Strategic Aspects of Data Mining Applications (Company Level)
- Case Study (Risk management/ CRM/ Sales and Marketing Analytics)
Differently combining diverse topics from these 6 sections, we can produce customized training for
- business analysts and project managers
- first line managers and technology planners
- executives.
For example, training for executives has an emphasis on a strategy-driven solution for your organization, and management issues of data mining, but not on particular aspects of data mining techniques or products. Decision makers will learn new ideas, test them and look at the big picture in order to take proactive actions rather than be constantly reacting to problems.
Each of these courses is customizable and reflects the specificity of a client's industry and problems of interest. The core of the training is based on answering the following set of questions.
Introduction
- What is Risk (Customer/Sales/Marketing/Predictive) Analytics, and why is it important to employ analytics in order to be successful?
- What is the taxonomy of business problems (structured vs. unstructured, well-defined vs. ill-defined).
- What is a wicked business problem?
- What is a measurement scale? Numeric attributes vs. categorical attributes. Interval (numeric), nominal, and ordinal variables in business problem description.
- What is primary data? Primary vs. secondary data.
- What is time series data? Time series vs. longitudinal data.
- What is cross-sectional data?
- What is panel/cross-sectional time series data?
- What is spatial data?
- What is survey data?
- What is transactional data?
- What type of data is used in data mining?
- What is a dependent variable (target)? What are independent variables (inputs)?
- What is data visualization and Exploratory Data Analysis (EDA)?
- How to summarize/visualize continuous variables?
- How to summarize/visualize categorical variables?
- How to summarize/visualize a mixture of categorical and continuous variables?
