Name: Data Science for non-Data Scientists
Brand: IMF Academy
Price: 3575 EUR

Beschreibung

Kursart

Intensivseminar
Niveau

Fortgeschritten
Ort

Amsterdam (Niederlande)

Unterrichtsstunden

40h
Dauer

5 Tage

Data Analytics has become critical for many business decision makers. With new, powerful and affordable tools available on the market, more and more business people are finding they are empowered to do something intelligent with their data. As a result, many businesses already have a number of valuable super users. Their hybrid role bridges the gap between the high level, technical Data Scientist and the more business-oriented data discovery analyst.

In this unique 5-day training you gain the expertise and skills to perform some of the analytics functions that have been traditionally reserved for Data Scientists.

Standorte und Zeitplan

Amsterdam (Niederlande)

Karte ansehen

Beginn

auf Anfrage

Hinweise zu diesem Kurs

Welche Ziele werden in diesem Kurs verfolgt?

After this 5-day training you will be able to perform the main data related tasks for the non-Data Scientist using the point-and-click capabilities of SAS Visual Analytics: data access and data manipulation, data exploration using analytics, and building predictive models. You will learn how to:

load data from different formats
prepare data for analysis
analyze data using effective data visualization
build and compare data mining tools

An wen richtet sich dieser Kurs?

Is your primary job function outside the field of statistics and analytics? Do you have a line-of-business role, are you a business analyst, data analyst or a member of the Business Intelligence (BI) or IT team? Do you want to practice the self-service data preparation capabilities of SAS and the ease of use of advanced analytics in exploring and visualizing data? Then this is the training for you!

We have developed a unique 5-day curriculum to specifically address the training needs of non-Data Scientists/business users. If you are willing to learn new methods and use new tools, regardless of whether or not you currently use SAS software, then join this 5-day training for the non-Data Scientist.

Voraussetzungen

As a participant of the Data Science for non-Data Scientists training you should have a solid business domain knowledge and be familiair with working with data. No programming knowledge is required. No prior SAS experience is needed. A basic understanding of statistics and the willingness to learn is all you need. We will provide access to on-line learning material prior to the training to help you get started.

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Meinungen

Themen

Business
SAS
Datamining
Data science
After this 5-day training
You will be able to perform
The main data related tasks
For the non-Data Scientist
Data access and data manipulation
Data exploration using analytics
And building predictive models

Dozenten

IMF Academy (IMF)

IT, Information Technology, Finance, Project Management, Security, Tax

IMF is an independent publisher of distance learning courses and organizer of hot topical classroom based trainings and in-company trainings. Should you have questions of suggestions, please contact us at +31 40 246 02 20 or info@imfacademy.com

Inhalte

I. BIG DATA AND ANALYTICS

Data Science - introduction

The era of abundance
Big Data explained
Data analysis overview

Statistics - introduction

Examining data distributions
Obtaining and interpreting sample statistics
Examining data distributions graphically
Using exploratory data analysis
Producing correlations
Fitting a simple linear regression model

II. PREPARING FOR ANALYSIS

Getting started with Visual Analytics

Exploring SAS Visual Analytics concepts
Using the SAS Visual Analytics home page
Discussing the course environment and scenario

Using Visual Analytics Explorer

Examining SAS Visual Analytics Explorer
Selecting data and defining data item properties
Creating visualizations
Enhancing visualizations with analytics
Interacting with visualizations and explorations

Examining Visual Data Builder

Exploring SAS Visual Data Builder
Creating simple queries

Creating complex queries in Visual Data Builder

Importing data using SAS Visual Data Builder
Creating calculated columns and filtering data
creating advanced queries

Advanced topics for Visual Data Builder

Accessing user-defined formats

Using the Explorer and Designer to load data

Using the Explorer and Designer to import data
Using the Explorer and Designer to create calculated columns

III. ANALYTICAL DATA VISUALIZATION AND MODELING DATA

Cluster segmentation

Understanding segmentation
Using cluster analysis

Models with continuous targets

Managing projects and models
Using linear regression models
Using generalized linear models

Models with categorical targets

Using logistic regression
Using decision trees

Model comparison and assessment

Comparing models
Scoring models

CASE STUDY
You will be able to put your knowledge into practice with real-world, scenario-based examples.

Zusätzliche Informationen

For more information, please take a look at our website: https://www.imfacademy.com/areasofexpertise/information_technology/data-science-for-non-data-scientists.php

Verwandte Kategorien

Data Science for non-Data Scientists

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