Digital Analytics Foundation Course
Simplilearn Americas LLC
Course Summary
Develop a comprehensive knowledge of digital analytics and get better ROI for your marketing efforts
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Course Description
What is digital marketing all about?
Digital marketing or online marketing uses the internet and email for advertising and marketing purposes. Obtaining leads and sales conversions are the prime focal areas of this field.Is the training up to date and relevant?
Simplilearn strives to provide the latest, best-quality content that’s up to date with current industry standards. Our experienced and certified trainers are subject matter experts who constantly research the latest trends and infuse them into our training programs. Every change happening in the market is immediately considered and our training content is regularly upgraded and updated to reflect current market trends.How long does the course take to complete?
You should expect to spend about 6 – 10 hours to complete the course.What are the prerequisites for this course?
Individuals are expected to have a fair understanding of popular search engines as well as working knowledge of the Microsoft Office suite including Word, Excel, and PowerPoint.Who are your clientele for this course?
The typical audience for our training is usually working professionals who want to sharpen and upgrade their skills to boost their careers. Professionals in entry- and mid-level positions find our training ideal.How does the online eLearning training work?
Participants enrolled in the course move through a structured pattern of study, which enables study at their own pace and place. The training includes the latest video lessons and eLearning content to give participants complete overview of all the concepts.What payment options are available?
Payments can be made using any of the following options. You will be emailed a receipt after the payment is made.Visa Credit or Debit card
MasterCard
American Express
Diner’s Club
PayPal
What tools do I need to attend the training sessions?
The tools you’ll need to attend training are fairly basic:Windows: any version newer than Windows XP SP3
Mac: any version newer than OSX 10.6
Internet speed: Preferably faster than 512 Kbps
Headset, speakers, microphone: You’ll need headphones or speakers to hear clearly, as well as a microphone to talk to the others. You can use a headset with a built-in microphone, or separate speakers and microphone.
I’d like to learn more about this training program. Who should I contact?
Contact us using the form on the right of any page on the Simplilearn website, or select the Live Chat link. Our customer service representatives will be able to give you more details.
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Course Syllabus
Course preview
Lesson 1 - Introduction to Digital Analytics
Introduction to Digital Analytics 18:29
1.1 Introduction 01:07
1.2 What's In It For Me 02:20
1.3 Objectives 00:41
1.4 Why Digital Analytics 05:10
1.5 What is Analytics 04:38
1.6 Role of an Analyst 02:16
1.7 How Difficult is it 00:55
1.8 Key Takeaways 01:22
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Lesson 2 - Organizational Maturity
Organizational Maturity 35:37
2.1 Introduction 00:15
2.2 What's In It For Me 01:12
2.3 Objectives 00:57
2.4 Why Maturity 00:30
2.5 What is a Maturity Model 01:21
2.6 Digital Analytics Maturity Model 02:06
2.7 Management, Governance, and Adoption 04:13
2.8 Objective and Scope 06:30
2.9 Team and Expertise 03:33
2.10 Continuous Improvement Process and Methodology 03:22
2.11 Tools, Technology, and Data Integration 07:30
2.12 Case Study 03:11
2.13 Key Takeaways 00:57
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Lesson 3 - Building Blocks
Building Blocks 26:19
3.1 Introduction 00:10
3.2 What's In It For Me 01:26
3.3 Objectives 00:22
3.4 Dimensions and Metrics 01:24
3.5 Audience Building Blocks 04:41
3.6 Acquisition Building Blocks 02:27
3.7 Behavioral Building Blocks 05:38
3.8 Conversion Building Blocks 05:15
3.9 Calculated Metrics 01:56
3.10 Compound Metrics 00:55
3.11 Key Takeaways 02:05
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Lesson 4 - Managerial Perspectives of Digital Analytics
Managerial Perspectives of Digital Analytics 26:00
4.1 Introduction 00:13
4.2 What's In It For Me 00:13
4.3 Objectives 01:44
4.4 Porter’s Value Chain Framework and Marketing Centricity 02:01
4.5 Customer Lifecycle 03:37
4.6 Personas and Scent Trails 02:29
4.7 Mapping Features Functions and Content to Personas and the Lifecycle 03:52
4.8 The Power of Pilot Projects 03:54
4.9 Planning 01:45
4.10 Privacy and Ethics 03:15
4.11 The Curse of Data - Analysis Paralysis 02:02
4.12 Key Takeaways 00:55
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Lesson 5 - Key Performance Indicators
Key Performance Indicators 24:48
5.1 Introduction 00:15
5.2 What's In It For Me 00:45
5.3 Objectives 00:39
5.4 The Starting Point 01:32
5.5 What is a Key Performance Indicator (KPI) 00:43
5.6 The Ultimate KPIs 02:51
5.7 How to Pick the Right KPIs 01:02
5.8 Critical - To - Quality (CTQ) 03:56
5.9 Attributes of a Great KPI 01:51
5.10 Bounce Rate 02:59
5.11 Average Order Value (AOV) — Metric or a KPI 02:25
5.12 Measuring Engagement 01:56
5.13 How Many KPIs 02:55
5.14 Key Takeaways 00:59
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Lesson 6 - Segmentation
Segmentation 19:58
6.1 Introduction 00:09
6.2 What's In It For Me 00:49
6.3 Objectives 00:53
6.4 Why Use Segmentation 00:57
6.5 Population N — Example 03:21
6.6 Segmenting — RFM Approach 03:02
6.7 Built-in and Custom Segments 05:23
6.8 Segmentation — ABC 04:58
6.9 Key Takeaways 00:26
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Lesson 7 - The Analysis Process
The Analysis Process 42:05
7.1 Introduction 00:13
7.2 What's In It For Me 01:21
7.3 Objectives 01:00
7.4 Types of Analytics 02:02
7.5 Continuous Improvements and Problem Solving with Lean Six Sigma 01:15
7.6 Define 03:43
7.7 Measure 08:34
7.8 Analyze 09:19
7.9 Improve 02:28
7.10 Control 00:35
7.11 Analysis Process Examples 10:48
7.12 Key Takeaways 00:47
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Lesson 8 - Marketing Management
Marketing Management 22:45
8.1 Introduction 00:10
8.2 What's In It For Me 00:22
8.3 Objectives 00:44
8.4 What is Campaign Tracking 02:35
8.5 Components of a Campaign 03:21
8.6 The Impact of Ad Blockers 02:06
8.7 Paid Owned and Earned Media 02:42
8.8 Attribution Modeling and Media-Mix Modeling 03:53
8.9 Assisted Conversions 01:28
8.10 Attribution Models 03:08
8.11 Offline Attribution 00:53
8.12 Key Takeaways 01:23
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Lesson 9 - Experimentation and Testing
Experimentation and Testing 11:48
9.1 Introduction 00:09
9.2 What's In It For Me 00:59
9.3 Objectives 00:19
9.4 Benefits of Testing 01:38
9.5 Web Design 101 01:39
9.6 Hypothesis Testing 01:23
9.7 A-B Testing Pros and Cons 01:06
9.8 Multivariate Testing 02:15
9.9 Multivariate Testing Pros and Cons 01:54
9.10 Key Takeaways 00:26
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Lesson 10 - Reports and Dashboards
Reports and Dashboards 18:10
10.1 Introduction 00:19
10.2 What's In It For Me 01:08
10.3 Objectives 00:35
10.4 What is a Dashboard 01:05
10.5 Analysis and Reporting Workflow 01:42
10.6 Planning Your Dashboard 03:21
10.7 Choice Of Visualization 01:30
10.8 Gestalt Principle 01:03
10.9 Stephen Few Common Pitfalls in Dashboard Design 01:23
10.10 Expressing Exactitude or Sense of Scale 01:34
10.11 Remove to Improve 01:20
10.12 The Art of Storytelling 02:26
10.13 Key Takeaways 00:44
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Lesson 11 - The Digital Analytics Stack
The Digital Analytics Stack 18:20
11.1 Introduction 00:36
11.2 What's In It For Me 00:53
11.3 Objectives 00:36
11.4 The Complex MarTech Landscape 01:19
11.5 Selecting a Web Analytics Platform 01:56
11.6 Qualitative Data 01:58
11.7 Competitive Intelligence 03:19
11.8 Social Analytics 03:21
11.9 Back Office CRM and Sales Data 01:11
11.10 Instrumentation (Tagging) 02:14
11.11 Key Takeaways 00:57
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That was just a sneak-peak into the lesson.
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