Biostatistics

Course Overview:

Statistics for the bio-sciences from introduction to statistical concepts to advanced modelling

• Summarising Data

• Graphical Data Analysis

• Describing Uncertainty

• Hypothesis Tests

• Differences between two Independent Groups

• Matched Pair Tests

• Comparing Several Independent Groups

• Correlation

• Simple Linear Regression

• Alternative Methods to Regression

• Multiple Regression

• Trend Analysis

TRAINING

Using a standardised Data Mining Methodology

How to Implement a Data Mining Strategy

Logistic Regression

Biostatistics - Introductory and advanced

Bioinformatics - Insights Into Biology Using Data Mining

ANOVA

What Our Clients Say.......

"HABACA, through the CRISP methodology, provides a useful framework for engaging with data mining projects. The process, consistent with best project management practice, provides clarity and consistency in managing projects. It's flexibilty and ease-of-use makes it a useful tool in the armoury of the data miner. The Customer Insight team in Bank of Ireland were happy with the training they received from HABACA and have already begun implementing the CRISP methodology in their datamining projects."

Lorna Harding

Business Manager

Centre of Excellence

Bank Of Ireland