Data Mining and Analysis Training Course

Course CodeCourse Code

datama

Duration Duration

28 hours (usually 4 days including breaks)

Overview Overview

Objective:

Delegates be able to analyse big data sets, extract patterns, choose the right variable impacting the results so that a new model is forecasted with predictive results.

Course OutlineCourse Outline

  1. Data preprocessing

    1. Data Cleaning
    2. Data integration and transformation
    3. Data reduction
    4. Discretization and concept hierarchy generation
  2. Statistical inference

    1. Probability distributions, Random variables, Central limit theorem
    2. Sampling
    3. Confidence intervals
    4. Statistical Inference
    5. Hypothesis testing
  3. Multivariate linear regression

    1. Specification
    2. Subset selection
    3. Estimation
    4. Validation
    5. Prediction
  4. Classification methods

    1. Logistic regression
    2. Linear discriminant analysis
    3. K-nearest neighbours
    4. Naive Bayes
    5. Comparison of Classification methods
  5. Neural Networks

    1. Fitting neural networks
    2. Training neural networks issues
  6. Decision trees

    1. Regression trees
    2. Classification trees
    3. Trees Versus Linear Models
  7. Bagging, Random Forests, Boosting

    1. Bagging
    2. Random Forests
    3. Boosting
  8. Support Vector Machines and Flexible disct

    1. Maximal Margin classifier
    2. Support vector classifiers
    3. Support vector machines
    4. 2 and more classes SVM’s
    5. Relationship to logistic regression
  9. Principal Components Analysis

  10. Clustering

    1. K-means clustering
    2. K-medoids clustering
    3. Hierarchical clustering
    4. Density based clustering
  11. Model Assesment and Selection

    1. Bias, Variance and Model complexity
    2. In-sample prediction error
    3. The Bayesian approach
    4. Cross-validation
    5. Bootstrap methods

TestimonialsTestimonials

I like the exercices done

Nour Assaf - Murex Services S.A.L (Offshore)

The hands on exercise and the trainer capacity to explain complex topics in simple terms

youssef chamoun - Murex Services S.A.L (Offshore)

The information given was interesting and the best part was towards the end when we were provided with Data from Murex and worked on Data we are familiar with and perform operations to get results.

Jessica Chaar - Murex Services S.A.L (Offshore)

Bookings, Prices and EnquiriesBookings, Prices and Enquiries

Private Classroom
 
Private Classroom
Participants are from one organisation only. No external participants are allowed. Usually customised to a specific group, course topics are agreed between the client and the trainer.
Private Remote
From 5070EUR
Private Remote
The instructor and the participants are in two different physical locations and communicate via the Internet. More Information

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Private Remote
1 5070EUR
2 3065EUR
3 2397EUR
4 2063EUR
Public Classroom
From 7870EUR
Request
Public Classroom
Participants from multiple organisations. Topics usually cannot be customised

The more delegates, the greater the savings per delegate. Table reflects price per delegate and is used for illustration purposes only, actual prices may differ.

Number of Delegates Public Classroom
1 7870EUR
2 4515EUR
3 3397EUR
4 2838EUR
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