Course information | MMKT608: Data-Driven Communications | Saylor Academy

MMKT608: Data-Driven Communications

Examine how data is used to convey and communicate results of data analysis, including findings, helpful facts, and data insights.

Skill Level: Beginner

COURSE INTRODUCTION

START HERE → Orientation

MMKT608 Syllabus

Unit 1: Defining the Business Objective and Sourcing Data

1.1: Data Analysis Processes

Lifecycle of a Data Analysis Project

The Market Research Process

1.2: Data Analysis Business Objectives

Big Data Stream Analytics for Sentiment Analysis

Data Modeling and Data Analytics

1.3: Data Collection and Gathering Best Practices

Using BI and Decision-Making Process in Start-ups

Unit 1 Study Resources

Unit 1 Review Video

Unit 1 Review Slides

Study Guide: Unit 1

Unit 1 Assessment

Unit 1 Assessment

Unit 2: Data Analysis

2.1: Data Analysis Methods and Models

Introduction to Analytics

The Stages of Analytics Development

Quantitative Methods

Qualitative Methods

Quantitative and Qualitative Data

Statistical Language

The Difference between Qualitative and Quantitative

Qualitative and Quantitative Research

Data-Driven Decisions

Research Design

2.2: Synthesizing Data Findings

Measures of the Center of the Data

Frequency, Frequency Tables, and Levels of Measurement

Frequency Tables

Unit 2 Study Resources

Unit 2 Review Video

Unit 2 Review Slides

Study Guide: Unit 2

Unit 2 Assessment

Unit 2 Assessment

Unit 3: Visualization Principles and Processes

3.1: Visualization Concepts and Definitions

Data Visualization

Why Is Data Visualization Important?

Presenting Data in Meaningful and Interesting Ways

3.2: Interactive Visualizations and Dashboards

Data Visualization

Interactive Visualization of Refugee Demographics in the U.S.

3.3: Challenges in Visualization

Visualization in Exploratory Data Analysis

Visualizing Big Data with Augmented and Virtual Reality

Describing Data

Unit 3 Study Resources

Unit 3 Review Video

Unit 3 Review Slides

Study Guide: Unit 3

Unit 3 Assessment

Unit 3 Assessment

Unit 4: Visualization Tools and Techniques

4.1: Number Representation

Visual Aids

Using PowerPoint with Excel

Using Charts with Word and PowerPoint

Describing Data

4.2: Formatting and Organizing Data

Best Visualization Practices

4.3: Selecting Visual Representations

Visualization Tools

Visualization Thought Process

4.4: Representing Data Values

Presenting Data with Graphs and Tables

4.5: Coordinating Data Positions and Scales

Improving Visualizations

Unit 4 Study Resources

Unit 4 Review Video

Unit 4 Review Slides

Study Guide: Unit 4

Unit 4 Assessment

Unit 4 Assessment

Unit 5: Evaluating Data Visualizations