MATLAB Fundamentals and knowledge of basic Statistics and Machine Learning Toolbox.
This program has been approved by GARP and qualifies for 14 GARP CPD credit hours. If you are a Certified FRM or ERP, please record this activity in your credit tracker at http://www.garp.org/cpd
This two-day course provides hands-on experience for performing statistical data analysis with MATLAB® and Statistics and Machine Learning Toolbox™. Examples and exercises demonstrate the use of appropriate MATLAB and Statistics and Machine Learning Toolbox functionality throughout the analysis process; from importing and organizing data, to exploratory analysis, to confirmatory analysis and simulation. Topics include:
MATLAB Fundamentals and knowledge of basic Statistics and Machine Learning Toolbox.
This program has been approved by GARP and qualifies for 14 GARP CPD credit hours. If you are a Certified FRM or ERP, please record this activity in your credit tracker at http://www.garp.org/cpd
| Day 1 of 2 | |
|---|---|
| Importing and Organizing Data | Objective: Bring data into MATLAB and organize it for analysis. Perform common tasks, such as merging data and dealing with missing data.
|
| Exploring Data | Objective: Perform basic statistical investigation of a data set, including visualization and calculation of summary statistics.
|
| Distributions | Objective: Investigate different probability distributions and fit distributions to a data set.
|
| Hypothesis Tests | Objective: Determine how likely an assertion about a data set is. Apply hypothesis tests for common uses, such as comparing two distributions and determining confidence intervals for a sample mean.
|
| Day 2 of 2 | |
|---|---|
| Analysis of Variance | Objective: Compare the sample means of multiple groups and find statistically significant differences between groups.
|
| Regression | Objective: Perform predictive modeling by fitting linear and nonlinear models to a data set. Explore techniques for improving model quality.
|
| Working with Multiple Dimensions | Objective: Simplify high-dimensional data sets by reducing the dimensionality.
|
| Random Numbers and Simulation | Objective: Use random numbers to evaluate the uncertainty or sensitivity of a model, or perform simulations. Generate random numbers from various distributions, and manage the MATLAB random number generation algorithms.
|
| Dates | Location | Language | Price | Register |
|---|---|---|---|---|
|
30 aug 2018- 31 aug 2018 |
Germany, München (Ismaning) | German | EUR 1,400 | |
|
03 sep 2018- 04 sep 2018 |
Australia, Sydney (Chatswood) | English | AUD 2,000 | |
|
17 sep 2018- 18 sep 2018 |
US, Pennsylvania, Sewickley | English | USD 1,500 | |
|
24 sep 2018- 25 sep 2018 |
United Kingdom, Cambridge | English | GBP 1,200 | |
|
04 okt 2018- 05 okt 2018 |
Japan, 名古屋市
Register today - only 5 seat(s) remaining |
Japanese | JPY 130,000 | |
|
04 okt 2018- 05 okt 2018 |
Korea (Republic Of), Seoul | Korean | KRW 900,000 | |
|
04 okt 2018- 05 okt 2018 |
US, California, San Francisco | English | USD 1,500 | |
|
23 okt 2018- 24 okt 2018 |
Germany, München (Ismaning) | German | EUR 1,400 | |
|
30 okt 2018- 31 okt 2018 |
Australia, Melbourne | English | AUD 2,000 | |
|
08 nov 2018- 09 nov 2018 |
US, New York, New York | English | USD 1,500 | |
|
14 nov 2018- 15 nov 2018 |
Online 9:00 a.m. - 5:00 p.m. US Eastern Daylight Time |
English | USD 1,500 | |
|
18 dec 2018- 19 dec 2018 |
Netherlands, Eindhoven | English | EUR 1,400 |
The pricing applies for purchase and use in United States, For pricing in other regions Contact Sales. The product price does not include sales, use, excise, value-added, or other taxes. Any applicable taxes, duties, levies, assessments and governmental charges payable in connection with this purchase will be assessed on the order. Refer to Training Policies for more information