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Data Science for non-Data Scientists – why?

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.

 

Data Scientists – worldwide shortage

The demand for Data Scientists continues to grow beyond supply. Companies of all kinds are feeling the acute shortage of trained Data Scientists today. Empowering business people to do much of the data analysis themselves allow the highly trained Data Scientists to focus on the things that require their specific expertise.

 

As a business user/non-Data Scientist you can succeed in this critical position, but only if you are empowered with the right tools and processes. You need to be able to analyze the data without having extensive technical knowledge of the underlying IT applications and infrastructure. Self-service data preparation and advanced analytical tools will provide you with the ability to perform the critical task of combining Big Data with your organization's issues and opportunities. The growing set of powerful self-service tools available on the market, make this possible.

 

Data Science for non-Data Scientists – who should attend?

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.

Data Science for non-Data Scientists – prerequisites

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.

 

Data Science for non-Data Scientists – what will you learn?

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

Data Science for non-Data Scientists – number of participants

Due to the interactive character of this training and to optimize the benefits you derive from various exercises, we keep the number of participants limited.

 

Data Science for non-Data Scientists – level of the training

The Data Science for non-Data Scientists training will be held on a bachelor level.

Outline

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.

Schedules

Nov 04, 2019
Weekdays 09:00 AM — 05:00 PM
No. of Days: 5
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Beside of this, we offer a lot of classroom based trainings. Topics vary from subjects in the area of Information Technology, Finance/Tax, Project Management and (IT) Security Management.

Most courses are in the Dutch language; others are published worldwide in the English language. Our courses are mainly edited by specialists working at the large international consultancy organisations like (among many others) PwC, KPMG, Deloitte, Atos Origin, IBM Business Consulting Services, Capgemini, EY (Ernst & Young), Sogeti and Transfer Pricing Associates. Our authors and trainers are all leading specialists in their field.
IMF Academy
Fellenoord 224
+31 (0)40 246 02 20
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