Learning Outcomes

Introduction to Data Management

Data Warehousing - Types and Components

Data Warehousing - Best Practices and Implementation

CDMP Certification - Demystified

Lesson Summary

This module introduces you to the field of data management. You will learn its basics, such as data collection and storage, data quality, and data governance. The module also mentions best practices related to data management and the concept of data warehousing. Last, the main aspects of the CDMP examination and certification are also explained.

Fundamentals of Certified Data Management Professional (CDMP) - Course Assessment

Learn about the data management profession, its essential elements, and the CDMP examination and certification.

Fundamentals of Certified Data Management Professional (CDMP)

Information Technology is a very vast field. It has a lot of subsequent branches, and data management is one of them. Data management professionals are widely sought after across the world. They are must haves for any business and organization dealing with large amounts of crucial information. For these professionals, one of the ways to demonstrate their expertise in data management is having a CDMP certification from DAMA International.

Business Intelligence

Starting Case

Decision-Making Process

Problem Structure

BI Application

Dashboard Presentation

This module explains what business intelligence is and how it can be used to make useful decisions. In this module, you will see the various reasons why managers need IT supports, types of problem structures, and business intelligence applications used for analyzing data.

Types of Charts

Good Dashboard

Common Mistakes

KPI Development

Overview of Data Warehouse

Data Warehouse

This module discusses the data warehouse and how it works to manage data. In this module, you will see the different types of charts used in the BI dashboard and the common mistakes made when designing a dashboard.

Development Approaches

Basics of Data Mining

Data Mining - Classification

Data mining - Clustering

Data Mining - Applications

This module explains the basics of data mining. In this module, you will see the stages involved in data mining and the various areas where data mining can be applied.

Fundamentals of Managing and Using Data for Business Intelligence - Course Assessment

Learn about business intelligence, data mining, data management, and data warehousing with this free online BI course.

Fundamentals of Managing and using Data for Business Intelligence

This course introduces you to the application of business intelligence (BI) in making viable financial and strategic decisions. Learn about the roles of managers and the reasons why managers need IT support. You will explore data management, data mining and the mechanics of data analysis. If you are a business analyst or a small business owner or entrepreneur and want to enhance your ability to make important decisions, this course is for you.

What is an Information System?

Networking Communication

Can Information Systems Bring Competitive Advantage?

This module introduces the concept of information systems, it consists of topics that cover the following: Definition of Information systems, information systems components such as hardware, software and data, networking and communication, processes components and how it relates with business management and finally the  competitive advantage brought about by using information systems.

What is a Management Information System?

The Role of Information Systems

This module introduces Management Information Systems, it covers the following concepts: Definition of Management Information Systems, types of management information systems and how we use them day to day, the role of information systems in an organization, information systems advancement and progression phases in information systems: The Mainframe Era, The PC Revolution, Client-Server, The World Wide Web and E-Commerce, Web 2.0 and The Post-PC World.

Hardware

Other Computing Devices

Types of Software

Productivity, Utility and Programming

Applications for the Enterprise

Mobile Applications and Cloud Computing

This module expounds more on information systems hardware and software components. It consists of topics that cover the following: Hardware components, Software components, Types of Software, Software for organizational productivity, Utility and programming software, Applications for the enterprise, Mobile applications, Cloud computing, Open-source and closed source models.

A Brief History of the Internet

Wi-Fi and Mobile Networks

Organizational Networking

The Information Security Triad and Tools for Information Security

Backups, Firewalls and Physical Security

Security Policies and Personal Information Security

This module discussed information systems network and security in depth. It consists of interactive topics that will cover the following introduces the concept of information systems, it consists of topics that cover the following: Brief History of the Internet, Wi-Fi and mobile networks, organizational networking, the information security triad, tools for information security, backups, firewalls and physical security and finally security policies and personal information security.

Designing a Database

Database Management Systems

This module introduces the concept of data and databases. It consists of topics that cover the following concepts: Definitions of data, information and knowledge, hierarchical relationship and the DIKW pyramid, introduction to relational databases, designing databases, database normalization, an introduction to Structured Query Language(SQL), Database Management System (DBMS), big data and enterprise databases.

Data Mining

Knowledge Management

This module discusses data warehouses and data mining. It covers the following: Introduction to data warehouse, bottom-up and top-down approaches to data warehouse design, benefits of setting up a data warehouse, the process of data mining, business Intelligence and business analytics and organizational knowledge management and its role in decision making.

Introduction to Management Information Systems - Course assessment

This free online course provides a solid introduction to management information systems in business.

Diploma in Management Information Systems - An Introduction

The foundational concepts relating to management information systems will be outlined and explained in this free online course, along with the various management information systems available. By the end of the course, you will be in a position to explain the components and implementation of management information systems and its importance in an organization.

Data, Databases and Mining - Course assessment

Learn how businesses can gain a competitive advantage through data with this free online course.

Data, Databases and Mining

This free online course explains the importance of data and knowledge to an organization. It describes the lifecycle of data in the wisdom hierarchy and how knowledge management can be used in business intelligence. By the end of the course, you will be able to describe the flow of data through the information ladder and its role in organizational growth. Start your learning journey on the uses of databases and data mining today!

Association Rule Mining

Association Rule Mining (cont'd)

This module introduces associative rule mining. You will learn about frequent patterns and rules in mining and be able to list when association rules can be applied. You will also learn about the apriori algorithm.

Big Data , A small introduction

Big Data , A small introduction(cont'd)

In this module you will learn about big data. You will learn about the four V’s of big data and why social media data can be hard to disambiguate.

Clustering Analysis

Clustering Analysis(cont'd)

In this module you will learn about clustering analysis. This module will teach you about why clustering is used and the different types of clustering. You will also learn about K-means and K-meloids.

Introduction to Experimentation and Active Learning

Introduction to Experimentation and Active Learning(cont'd)

An Introduction to Online Learning - Reinforcement Learning

An Introduction to Online Learning - Reinforcement Learning(cont'd)

In this module you will learn about experimentation and active learning and creating data in an online and offline context. You will learn about online learning and the n-arm bandit problem.

Data Analytics - Mining and Analysis of Big Data - Assessment

Learn how to analyse big data using mining and clustering techniques, in this free online big data analytics course.

Data Analytics - Mining and Analysis of Big Data

This free online Big Data Analytics course from Alison will teach you how to mine and analyse big data. This process of studying and evaluating data is widely used in business and commercial industries and even in the government sector. With the help of this course, you will also learn how to create clustering data models which in turn can help you make more informed decisions. Make this a part of your business practice now!