advanced search
Do you have any questions?
+420 731 175 867 (Mo-Fr: 9A.M.-5P.M.)
EN
0 Basket

Data Mining Techniques: Predictive Analytics on Big Data

Course code: MLDB52

This course introduces applications and techniques for assaying and modeling large data. The course also presents basic and advanced modeling strategies, such as group-by processing for linear models, random forests, generalized linear models, and mixture distribution models. Students perform hands-on exploration and analyses using tools such as SAS Enterprise Miner, SAS Visual Statistics, and SAS In-Memory Statistics.
1 080 EUR

1 307 EUR including VAT

Selection of dates
onas
Do you have a question?
+420 731 175 867 edu@edutrainings.cz

Professional
and certified lecturers

Internationally
recognized certifications

Wide range of technical
and soft skills courses

View soft skills courses

Great customer
service

Making courses
exactly to measure your needs

Course dates

Starting date: Upon request

Type: E-learning

Course duration: 14 hours

Language: en

Price without VAT: 1 080 EUR

Register

Starting
date		 Place
Type Course
duration		 Language Price without VAT
Upon request E-learning 14 hours en 1 080 EUR Register
G Guaranteed course

Didn't find a suitable date?

Write to us about listing an alternative tailor-made date.

Contact

Target group

Business analysts, data analysts, marketing analysts, marketing managers, data scientists, data engineers, financial analysts, data miners, statisticians, and others who work in related fields

Course structure

Introduction

  • Introduction to big data and SAS big data tools.

Data Exploration

  • Data exploration and clustering (SAS Visual Statistics).
  • Data exploration and dimension reduction.

Analysis Methods for Categorical Targets

  • Categorical targets (SAS Visual Statistics).
  • Categorical targets (SAS In-Memory Statistics).

Analysis Methods for Interval Targets

  • Interval targets (SAS Visual Statistics).
  • Interval targets (SAS In-Memory Statistics).
  • Interval targets (SAS Enterprise Miner).

Prerequisites

Before attending this course, you should have at least an introductory-level familiarity with basic statistics and linear models. Previous SAS software experience is helpful but not required.

Do you need advice or a tailor-made course?

onas

product support

+420 731 175 867

edu@edutrainings.cz

ComGate payment gateway MasterCard Logo Visa logo