SE flag SE
SE +46 (0)8 506 668 00 UK +44 (0) 207 874 5000

Introduction to Data Analytics

Course 1290

  • Duration: 3 days
  • Language: English
  • Level: Foundation

As data evolves for organisations, employees must understand the value of the data they hold. This Data Analytics Introduction provides a clear understanding of data analytics's purpose, tools, and techniques. In addition, it will help attendees to plan the data and digital strategy for their organisations.

Data Analytics Introduction Delivery Methods

  • In-Person

  • Online

Data Analytics Introduction Training Information

Back at work, attendees will be able to:

  • Define what Data Analytics is and how it helps with business-focused decision-making
  • Understand the fundamentals of pattern recognition
  • Differentiate between data roles such as Data Analyst, Data Scientist, Data Engineer, Business Analyst, and Business Intelligence Analyst.
  • Recognise the value, terminology, and challenges of Business Intelligence
  • Understand how Data Mining builds knowledge, insights, patterns, & data advantages
  • Appreciate the usefulness of data visualisation, visual patterns, and Infographics for stakeholder communication
  • Improve awareness of the value of the data your organisation holds and how to manipulate it
  • Have excellent fundamental knowledge of data, how it is captured, and how it is visualised for us in the business
  • Position Data Warehouses as data management facilities that help to:
    • Create reports and analysis
    • Support managerial decision making
    • Engineered for efficient reporting and querying

    Training Prerequisites

    A basic understanding of what data is and the function of data analysis

    Certification Information

    Learning Tree Exam included

    Data Analytics Introduction Training Outline

    Business Intelligence

    • Example: MoneyBall: Data Mining in Sports

    Pattern Recognition

    • Types of Patterns
    • Finding a Pattern
    • Uses of Patterns

    The Data Processing Chain

    • Data Database
    • Data Warehouse
    • Data Mining
    • Data Visualisation

    Data Analytics Terminology and Careers

    Review Wheel

    Introduction

    • Example: Schools and Academies
    • BI in Education

    BI for Better Decisions

    Decision types

    • BI Tools
    • BI Skills

    BI Applications

    • Customer Relationship Management
    • Healthcare and Wellness
    • Education
    • Retail Banking
    • Financial Services
    • Insurance Manufacturing
    • Supply Chain Management
    • Telecom
    • Public Sector

    Conclusion

    Review Wheel

    Case Study Exercise

    Introduction

    • Example: University Health System – BI in Healthcare

    Design Considerations for DW

    DW Development Approaches

    • DW Architecture
    • Data Sources
    • Data Loading Processes

    Data Warehouse Design

    • DW Access
    • DW Best Practices
    • Data Lakes

    Conclusion

    Review Wheel

    Case Study Exercise: Step 2

    Introduction

    • Example: Target Corp – Data Mining in Retail

    Gathering and selecting data

    • Data cleansing and preparation
    • Outputs of Data Mining
    • Evaluating Data Mining Results

    Data Mining Techniques

    • Tools and Platforms for Data Mining
    • Data Mining Best Practices
    • Myths about data mining
    • Data Mining Mistakes

    Conclusion

    Review Wheel

    Case Study Exercise: Step 3

    Introduction

    • Example: Dr Hans Gosling - Visualising Global Public Health

    Excellence in Visualisation

    • Types of Charts
    • Visualisation Example

    Tips for Data Visualisation

    Conclusion

    Review Wheel

    Case Study Exercise: Step 4

    Decision Trees

    • Introduction
    • Example: Predicting Heart Attacks using Decision Trees
    • Decision Tree problem
    • Decision Tree Construction

    Regression and Time Series Analysis

    • Correlations and Relationships
    • A visual look at relationships
    • Regression
    • Non-linear regression
    • Logistic Regression
    • Advantages and Disadvantages of Regression
    • Time Series Analysis

    Artificial Neural Networks

    • Introduction
    • Example: IBM Watson - Analytics in Medicine
    • Principles of an Artificial Neural Network
    • Business Applications of ANN Design
    • Representation of a Neural Network
    • Architecting a Neural Network
    • Developing an ANN
    • Advantages and Disadvantages of using ANNs
    • Conclusion
    Get This Course 19 530 kr For Team Prices Call: +46 (0)8 506 668 00

    • 3-day instructor-led training course

    • Hands-on labs included

    • Learning Tree Exam included

    • After-course coaching available

    #1290
    • jul 5 - 7 15:00 - 22:30 CEST
      Herndon, VA or Virtual
    • aug 2 - 4 15:00 - 22:30 CEST
      New York or Virtual
    • sep 6 - 8 15:00 - 22:30 CEST
      Ottawa or Virtual
    • sep 20 - 22 9:00 - 16:30 CEST
      Stockholm or Virtual
    • sep 20 - 22 10:00 - 18:00 CEST
      London or Virtual
    • okt 4 - 6 15:00 - 22:30 CEST
      Herndon, VA or Virtual
    • nov 1 - 3 14:00 - 21:30 CET
      New York or Virtual
    • dec 6 - 8 15:00 - 22:30 CET
      Ottawa or Virtual
    • dec 13 - 15 9:00 - 16:30 CET
      Stockholm or Virtual
    • dec 13 - 15 10:00 - 18:00 CET
      London or Virtual
    • jan 3 - 5 15:00 - 22:30 CET
      Herndon, VA or Virtual
    • jan 31 - feb 2 15:00 - 22:30 CET
      New York or Virtual
    • mar 6 - 8 15:00 - 22:30 CET
      Ottawa or Virtual
    • mar 20 - 22 9:00 - 16:30 CET
      Stockholm or Virtual
    • mar 20 - 22 10:00 - 18:00 CET
      London or Virtual
    • apr 3 - 5 15:00 - 22:30 CEST
      Herndon, VA or Virtual
    • maj 1 - 3 15:00 - 22:30 CEST
      New York or Virtual
    • maj 29 - 31 15:00 - 22:30 CEST
      Ottawa or Virtual

    Scroll to view additional course dates

    • Bring this or any training to your organisation

    • Full-scale programme development

    • Delivered when, where, and how you want it

    • Blended learning models

    • Tailored content

    • Expert team coaching

    #1290
    Questions about this course?
    * Required Fields
    Customise Your Team Training Experience

    Fill out the form below or call +46 (0)8 506 668 00

    * Required Fields
    Preferred method of contact:

    Need Help Finding The Right Training Solution?

    Our training advisors are here for you.

    Contact Us

    Data Analytics Introduction FAQs

    40% of the course time is spent in hands-on exercises

    Yes, this course is a perfect starting point for someone entering Data Analytics

    No, this course is technology neutral

    • This course applies to anyone looking for an introduction to data analytics, including data warehousing, data mining, and data visualisation.
    • Senior Managers, Business Analysts, Data Analysts, Data Scientists, Database Administrators
    • They come from all types of industries, with data being the common element, i.e., Any industry that needs help leveraging the advantages of data analytics and the data analytics industry itself.
    • Senior Managers, Business Analysts, Data Analysts, Data Scientists, and Database Administrators.
      • Senior managers will find it helpful to understand data analytics's advantages for the business.
      • Business analysts will find this course helpful in understanding the eventual output of requirements and modelling.
      • Students wishing to pursue a course in Data Science or Data Analysis will find this course useful as it gives an overview of the Data Analytics field.

    Related Courses

    • Learning Tree
      Power BI: Hands-On Reports and Dashboards Training

      Watch and perform exercises to connect to 7 million records from various sources, refine the data in Power Query and import the tables into Power BI.

      Intermediate
      2 days
      Online or In-class
      Starts from 16 730 kr
    • Learning Tree
      Introduction to Big Data Training

      Attend this introduction to Big Data & learn to unleash the power of Big Data. Learn to store, manage, process & analyze massive amounts of unstructured data.

      Foundation
      3 days
      Online or In-class
      Bundle
      Premium
      Starts from 11 500 kr
    • Learning Tree
      Big Data Technologies, Trends & Insights Training

      This 1-day introduction to Big Data technologies, trends & insights provides the knowledge & skills to make effective Big Data business & technical decisions.

      Foundation
      1 day
      Online or In-class
      Bundle
      Starts from 4 950 kr
    • Learning Tree
      Fundamentals of Statistics for Data Science Training

      Learn data analysis tools & R environment to draw conclusions. Get hands-on Fundamentals of Statistics training for Data Science.

      Foundation
      2 days
      Online or In-class
      Starts from 16 730 kr
    • Learning Tree
      Introduction to Power BI Training

      In this Introduction to Power BI course, you will gain the basic skills and knowledge to manage and analyse data in Power BI.

      Foundation
      3 days
      Online or In-class
      Starts from 19 530 kr