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Data Analytics Training Course


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Data Analytics training course (code: DATAANALYTICS)

Access Cloud based data and create modern, powerful Dashboards with Power BI, R and AML



TRAINING COURSE OVERVIEW

Our Data Analytics training course is aimed at looking to model cloud and other corporate data using Power BI Dashboard visualizations and who further want to customise and tweak their data using R and Azure Machine Learning. 

We will look at the modern tools, visualizations, and mobile reporting capabilities that SQL Server 2016 provides on any device


AUDIENCE

This course is aimed at those who need to build customised, interactive Dashboards which empower businesses and colleagues to harness the growing amount of data being produced by the business systems in the cloud



DETAILHIGHLIGHTS

 Power BI Service

Self-service BI
Organisational BI
Portal
Content Items
Datasets
Connecting to Data

Visualizing Data

Reports

Reading View

Editing View

Visualisations and Custom Visualisations

Dashboards

Power BI Mobile

Native Applications (iOS/Android/Windows)

Viewing Content

Sharing & Collaboration

Embedding dashboards in applications                          

Data Modelling Fundamentals

Data Models

Schemas

Relationships

Connectivity

Power BI Desktop

Design Environment              

Navigation

Importing Data

Transforming Data

Queries & the Query Editor

Data Previews

Shaping & Cleansing Data

Basic Transformations

Loading Transformed Data

Combining Datasets

Functions

Date Tables

Refining the Model

Tables & Columns

Data View

Exploring Data

Managing Schema & Data Changes

Connections & Tables

Data Refresh

Relating Tables

Rules & Limitations

Auto-Detecting

Relationship View

Calculations

Data Analysis Expressions

Calculated Columns

Measures

DAX Syntax

DAX Functions

Advanced Relationships    

R Language

Introduction to Basics

Take your first steps with R. Discover the basic data types in R and assign your first variable.

Vectors

Analyze gambling behaviour using vectors. Create, name and select elements from vectors.

Matrices

Learn how to work with matrices in R. Do basic computations with them and demonstrate your knowledge by analyzing the Star Wars box office figures.

Factors

R stores categorical data in factors. Learn how to create, subset and compare categorical data.

Data Frames

When working R, you’ll probably deal with Data Frames all the time. Therefore, you need to know how to create one, select the most interesting parts of it, and order them.

Lists

Lists allow you to store components of different types. Section 6 will show you how to deal with lists.

Basic Graphics

Discover R’s packages to do graphics and create your own data visualizations.

Azure Machine Learning


What Is Machine Learning?

Getting Started
Finding Patterns
Machine Learning essentials
The Main Points

The Machine Learning Process

Asking the Right Question
Illustrating the Machine Learning Process
Example Machine Learning Scenarios
The Main Points

A Closer Look at the Machine Learning Process

Terminology
Data Pre-processing
Categorizing Machine Learning Problems
Styles of Machine Learning Algorithms
Training and Testing a Model
Using a Model

Deploying packages
Scheduling packages with SQL Server Agent
Security

Reporting Services Configuration Manager
Security overview

  • Power BI Service
  • Visualizing Data
  • Power BI Desktop
  • Power BI Cloud
  • Power BI Mobile
  • Data Modelling Fundamentals
  • R language fundamentals
  • Dashboard scripting with R
  • Azure Machine Learning
  • AML for Cloud data
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PUBLIC COURSES (LONDON, UK)
 

17th Apr 2017 - 5 days £1995
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