Nanodegree key: nd028
Version: 5.0.0
Locale: en-us
Gain foundational data skills applicable to marketing. Collect and analyze data, model marketing scenarios, and communicate your findings with Excel, Tableau, Google Analytics, and Data Studio.
Content
Part 01 : Welcome to the Nanodegree
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Module 01: Welcome to the Nanodegree
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Lesson 02: Mentor Help, Peer Chat, and Careers
You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.
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Lesson 03: Get Help with Your Account
What to do if you have questions about your account or general questions about the program.
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Lesson 04: Nanodegree Career Services
The Careers team at Udacity is here to help you move forward in your career - whether it's finding a new job, exploring a new career path, or applying new skills to your current job.
Part 02 : Introduction to Data Analysis
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Module 01: Introduction to Data Analysis
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Lesson 01: Descriptive Statistics I
In this lesson, you will learn about data types, measures of center, and the basics of statistical and mathematical notation.
- Concept 01: Video: Welcome!
- Concept 02: Video: What is Data? Why is it important?
- Concept 03: Video: Data Types (Quantitative vs. Categorical)
- Concept 04: Quiz: Data Types (Quantitative vs. Categorical)
- Concept 05: Video: Data Types (Ordinal vs. Nominal)
- Concept 06: Video: Data Types (Continuous vs. Discrete)
- Concept 07: Video: Data Types Summary
- Concept 08: Text + Quiz: Data Types (Ordinal vs. Nominal)
- Concept 09: Data Types (Continuous vs. Discrete)
- Concept 10: Video: Introduction to Summary Statistics
- Concept 11: Video: Measures of Center (Mean)
- Concept 12: Measures of Center (Mean)
- Concept 13: Video: Measures of Center (Median)
- Concept 14: Measures of Center (Median)
- Concept 15: Video: Measures of Center (Mode)
- Concept 16: Measures of Center (Mode)
- Concept 17: Video: What is Notation?
- Concept 18: Video: Random Variables
- Concept 19: Quiz: Variable Types
- Concept 20: Video: Capital vs. Lower
- Concept 21: Quiz: Introduction to Notation
- Concept 22: Video: Better Way?
- Concept 23: Video: Summation
- Concept 24: Video: Notation for the Mean
- Concept 25: Quiz: Summation
- Concept 26: Quiz: Notation for the Mean
- Concept 27: Text: Summary on Notation
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Lesson 02: Descriptive Statistics II
In this lesson, you will learn about measures of spread, shape, and outliers as associated with quantitative data. You will also get a first look at descriptive and inferential statistics.
- Concept 01: Video: What are Measures of Spread?
- Concept 02: Video: Histograms
- Concept 03: Video: Weekdays vs. Weekends: What is the Difference
- Concept 04: Video: Introduction to Five Number Summary
- Concept 05: Quiz: 5 Number Summary Practice
- Concept 06: Video: What if We Only Want One Number?
- Concept 07: Video: Introduction to Standard Deviation and Variance
- Concept 08: Video: Standard Deviation Calculation
- Concept 09: Measures of Spread (Calculation and Units)
- Concept 10: Text: Introduction to the Standard Deviation and Variance
- Concept 11: Video: Why the Standard Deviation?
- Concept 12: Video: Important Final Points
- Concept 13: Advanced: Standard Deviation and Variance
- Concept 14: Quiz: Applied Standard Deviation and Variance
- Concept 15: Homework 1: Final Quiz on Measures Spread
- Concept 16: Text: Measures of Center and Spread Summary
- Concept 17: Video: Shape
- Concept 18: Video: The Shape For Data In The World
- Concept 19: Quiz: Shape and Outliers (What's the Impact?)
- Concept 20: Video: Shape and Outliers
- Concept 21: Video: Working With Outliers
- Concept 22: Video: Working With Outliers My Advice
- Concept 23: Quiz: Shape and Outliers (Comparing Distributions)
- Concept 24: Quiz: Shape and Outliers (Visuals)
- Concept 25: Quiz: Shape and Outliers (Final Quiz)
- Concept 26: Text +Quiz: What Measures of Spread & Center Should We Use?
- Concept 27: Text: Descriptive Statistics Summary
- Concept 28: Video: Descriptive vs. Inferential Statistics
- Concept 29: Quiz: Descriptive vs. Inferential (Bagels)
- Concept 30: Quiz: Descriptive vs. Inferential (Udacity Students)
- Concept 31: Text: Descriptive vs. Inferential Summary
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Lesson 03: Spreadsheets 1: Getting Started
In this lesson, you will learn about the basic functionality for spreadsheet software, use cell referencing and menu shortcuts.
- Concept 01: Intro
- Concept 02: Commas vs. Decimals
- Concept 03: Why Spreadsheets?
- Concept 04: Spreadsheet Benefits
- Concept 05: Getting Started
- Concept 06: Navigation: Worksheet
- Concept 07: Column and Row Labels
- Concept 08: Navigation: Menu Bar
- Concept 09: Menu Bar
- Concept 10: Navigation: Shortcuts
- Concept 11: Fill
- Concept 12: Copy Data
- Concept 13: Exercise: Copy Data
- Concept 14: Range Addressing
- Concept 15: Range Addressing
- Concept 16: Relative vs Absolute Addressing
- Concept 17: Relative vs Absolute Addressing
- Concept 18: Insert and Delete
- Concept 19: Exercise: Insert and Delete
- Concept 20: Save Data
- Concept 21: File Types
- Concept 22: Recap
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Lesson 05: Spreadsheets 2: Manipulate Data
In this lesson, you will learn basic spreadsheet function: sort and filter data, use text and math functions, split columns and remove duplicates.
- Concept 01: Intro
- Concept 02: Cell Formulas
- Concept 03: Quiz: Spreadsheet Functions
- Concept 04: SUBSTITUTE
- Concept 05: Quiz: SUBSTITUTE
- Concept 06: Extract Text
- Concept 07: Exercise: Extract Text
- Concept 08: Reformat Text
- Concept 09: Quiz: PROPER, UPPER, LOWER
- Concept 10: Math Functions
- Concept 11: Exercise: Math Functions
- Concept 12: Duplicate Rows
- Concept 13: Exercise: Duplicate Rows
- Concept 14: Split Columns
- Concept 15: Exercise: Split Columns
- Concept 16: Sort Data
- Concept 17: Exercise: Sort Data
- Concept 18: Filter Data
- Concept 19: Exercise: Filter Data
- Concept 20: Recap
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Lesson 06: Spreadsheets 3: Analyze Data
In this lesson, you will learn how to summarize data with aggregation and conditional functions. You will learn how to use pivot tables and lookup functions.
- Concept 01: Intro
- Concept 02: Aggregation Functions
- Concept 03: Aggregation Functions
- Concept 04: Logical Functions: IF
- Concept 05: Quiz: Comparison Operators
- Concept 06: Logical Functions: AND, OR, NOT
- Concept 07: Quiz: Logical Functions
- Concept 08: Conditional Aggregation Functions
- Concept 09: Exercise: COUNTIF, SUMIF
- Concept 10: Pivot Tables
- Concept 11: Exercise: Pivot Tables
- Concept 12: Named Ranges
- Concept 13: Named Ranges
- Concept 14: Lookup Functions
- Concept 15: Exercise: VLOOKUP
- Concept 16: Recap
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Lesson 07: Spreadsheets 4: Visualize Data
In this lesson you will build data visualizations for quantitative and categorical data; create pie, bar, line, scatter, histogram, and boxplot charts, and build professional presentations.
- Concept 01: Intro
- Concept 02: Pie Charts
- Concept 03: Exercise: Pie Charts
- Concept 04: Bar Charts
- Concept 05: Scatter and Line Plots
- Concept 06: Quiz: Chart Types
- Concept 07: Exercise: Scatter Plots
- Concept 08: Chart Layout Tools
- Concept 09: Quiz: Chart Layout
- Concept 10: Histograms
- Concept 11: Quiz: Histograms
- Concept 12: Box Plots
- Concept 13: Quiz: Box Plots
- Concept 14: Professional Presentations
- Concept 15: Exercise: Professional Presentations
- Concept 16: Recap
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Part 03 : Data Visualization
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Module 01: Data Visualization
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Lesson 01: Introduction to Data Visualization
In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.
- Concept 01: Data Visualization Introduction
- Concept 02: Why Do We Use Data Visualizations?
- Concept 03: Motivation for Data Visualization
- Concept 04: Further Motivation
- Concept 05: Data Types Review
- Concept 06: Identifying Data Types
- Concept 07: Univariate Plots
- Concept 08: Univariate Plots
- Concept 09: Scatter Plots
- Concept 10: Quizzes On Scatter Plots
- Concept 11: Correlation Coefficients
- Concept 12: Correlation Coefficient Quizzes
- Concept 13: Line Plots
- Concept 14: What is the Question?
- Concept 15: What About with More Than Two Variables?
- Concept 16: Multiple Variables Quiz
- Concept 17: Why Data Dashboards
- Concept 18: Introduction to Data Dashboards
- Concept 19: Quiz On Visual Encodings
- Concept 20: Recap
- Concept 21: What's Next?
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Lesson 02: Design
In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.
- Concept 01: Introduction
- Concept 02: Lesson Overview
- Concept 03: Exploratory vs. Explanatory Analyses
- Concept 04: Quiz: Exploratory vs. Explanatory
- Concept 05: What Makes a Bad Visual?
- Concept 06: What Experts Say About Visual Encodings
- Concept 07: Chart Junk
- Concept 08: Data Ink Ratio
- Concept 09: Design Integrity
- Concept 10: Bad Visual Quizzes (Part I)
- Concept 11: Bad Visual Quizzes (Part II)
- Concept 12: Text: Effective Explanatory Visual Recap
- Concept 13: Using Color
- Concept 14: Designing for Color Blindness
- Concept 15: Shape, Size, & Other Tools
- Concept 16: General Design Tips
- Concept 17: Good Visual
- Concept 18: Tell A Story
- Concept 19: Same Data, Different Stories
- Concept 20: Quizzes on Data Story Telling
- Concept 21: Recap
- Concept 22: Onwards!
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Lesson 04: Data Visualizations in Tableau
This lesson teaches you how build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.
- Concept 01: Video: What is Tableau?
- Concept 02: Text: Installing Tableau
- Concept 03: Video: How This Lesson Is Structured?
- Concept 04: Text: Outline of Topics Covered
- Concept 05: Commas vs Periods
- Concept 06: Video: Connecting to Data
- Concept 07: Text: Connecting to Data Recap
- Concept 08: Quiz: Connecting to Data
- Concept 09: Video: Combining Data
- Concept 10: Text: Combining Data Recap
- Concept 11: Text: Primary and Foreign Keys
- Concept 12: Quiz: Combining Data
- Concept 13: Video: What Can You Create In Tableau?
- Concept 14: Video: Worksheets
- Concept 15: Text: Worksheets
- Concept 16: Quiz: Worksheets
- Concept 17: Text: Saving to Tableau Public
- Concept 18: Video: Aggregations
- Concept 19: Text: Aggregations
- Concept 20: Quiz: Aggregations
- Concept 21: Video: Hierarchies
- Concept 22: Text: Hierarchies
- Concept 23: Quiz: Hierarchies
- Concept 24: Video: Marks & Filters
- Concept 25: Text: Marks & Filters I
- Concept 26: Quiz: Marks & Filters I
- Concept 27: Text: Marks & Filters II
- Concept 28: Quiz: Marks & Filters II
- Concept 29: Video: Show Me
- Concept 30: Text: Show Me
- Concept 31: Quiz: Show Me
- Concept 32: Video: Small Multiples & Dual Axis
- Concept 33: Text: Small Multiples & Dual Axis
- Concept 34: Text: Map Configuration
- Concept 35: Quiz: Small Multiples
- Concept 36: Quiz: Dual Axis
- Concept 37: Video: Groups & Sets
- Concept 38: Text: Groups & Sets
- Concept 39: Quiz: Groups
- Concept 40: Quiz: Sets
- Concept 41: Video: Calculated Fields
- Concept 42: Text: Calculated Fields
- Concept 43: Quiz: Calculated Fields
- Concept 44: Video: Table Calculations
- Concept 45: Text: Table Calculations
- Concept 46: Quiz: Table Calculations
- Concept 47: Text: Recap
- Concept 48: Video: What's Next?
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Lesson 05: Make Dashboards & Stories in Tableau
In this final lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.
- Concept 01: Video: Communicating With Your Data
- Concept 02: Video + Text: What's Ahead?
- Concept 03: Video: Hierarchies with Trina
- Concept 04: Quiz: Hierarchies with Trina
- Concept 05: Video: Building Dashboards & Stories with Trina
- Concept 06: Text: General Notes for Building Data Dashboards with Trina
- Concept 07: Text: General Notes for Building Stories
- Concept 08: Quiz: Building Dashboards & Stories with Trina
- Concept 09: Video: Extra Practice with Dashboards
- Concept 10: Quiz: Extra Practice with Dashboards
- Concept 11: Text: Lesson Recap
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Part 04 : Google Analytics
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Module 01: Google Analytics
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Lesson 01: Getting Oriented in Google Analytics
- Concept 01: Introduction
- Concept 02: Meet the Team
- Concept 03: Accessing the Google Analytics Account
- Concept 04: What is Required to use Google Analytics?
- Concept 05: How to Implement Code
- Concept 06: Basic Principles in Google Analytics
- Concept 07: Getting Oriented in Google Analytics
- Concept 08: Quiz: Getting Oriented in Google Analytics
- Concept 09: Segments in Google Analytics
- Concept 10: Segments in Google Analytics Walkthrough
- Concept 11: Quiz: Testing Segments
- Concept 12: Conclusion
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Lesson 02: Understand your Audience
- Concept 01: Introduction
- Concept 02: An Overview of your Audience
- Concept 03: Your Audience
- Concept 04: Exploring your Audience Demographics
- Concept 05: Exploring your Audience's Interests
- Concept 06: Quiz: Exploring your Audience's Interests
- Concept 07: Exploring your Audience's Geography
- Concept 08: Exploring your Audience's Behavior
- Concept 09: Exploring your Audience's Technology
- Concept 10: Quiz: Exploring your Audience's Technology
- Concept 11: User Flow
- Concept 12: Quiz: User Flow
- Concept 13: Recap
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Lesson 03: Evaluate Acquisition
- Concept 01: Introduction
- Concept 02: Acquisition Overview
- Concept 03: Definitions Used in Acquisition Reports
- Concept 04: Acquisition by Channel - Social
- Concept 05: Quiz: Acquisition by Channel
- Concept 06: Acquisition by Channel - Organic Search
- Concept 07: Acquisition by Channel - Paid Search
- Concept 08: Acquisition by Channel - Direct Traffic
- Concept 09: Direct Traffic Trend
- Concept 10: Acquisition by Channel - Referrals
- Concept 11: Other Acquisition Resources
- Concept 12: A few more things to consider
- Concept 13: Recap
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Lesson 04: Evaluate Behavior
- Concept 01: Introduction
- Concept 02: Metrics Definitions
- Concept 03: Studying Behavior - Overview
- Concept 04: What Content is Popular/Engaging
- Concept 05: Quiz: Content Popularity
- Concept 06: Main Landing Pages
- Concept 07: Bounce Rate and Landing Pages
- Concept 08: Landing Pages and Acquisition
- Concept 09: A Quick Note on Exits
- Concept 10: The Pre/Post Design Case
- Concept 11: Behavior Flow Report
- Concept 12: A Few More Ways to Study Behavior
- Concept 13: Conclusion
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Lesson 05: Evaluate Conversion
- Concept 01: Introduction
- Concept 02: Definitions
- Concept 03: Understanding Goals
- Concept 04: Goal Types
- Concept 05: Setting up Goals
- Concept 06: Quiz: Setting up Goals
- Concept 07: Goal Conversion Reporting
- Concept 08: Goal Funnel Visualization Report
- Concept 09: Quiz: Goal Visualization Report
- Concept 10: Goal Flow
- Concept 11: E-commerce Reporting
- Concept 12: Shopping and Checkout Behavior
- Concept 13: Product and Sales Performance
- Concept 14: Quiz: Understanding Shopping Behavior by Segment
- Concept 15: Multi Channel Conversion Reporting
- Concept 16: Multi Channel Conversion Reports II
- Concept 17: Multi Channel Funnels
- Concept 18: Conclusion
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Lesson 06: Advanced Displays, Segmentation, and Filtering
- Concept 01: Intro
- Concept 02: Report Displays Introduction
- Concept 03: Displays in Google Analytics
- Concept 04: Data Display
- Concept 05: Percentage Display
- Concept 06: Quiz: Displays in Google Analytics
- Concept 07: Performance Display
- Concept 08: Comparison Display
- Concept 09: Pivot Display
- Concept 10: Quiz: Displays in Google Analytics 2
- Concept 11: Navigation Summary
- Concept 12: Changing the Metrics Displayed in the Main Graph
- Concept 13: Plot Rows
- Concept 14: Key Terms
- Concept 15: Sparklines
- Concept 16: Quiz: Display Navigation
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Lesson 07: Metrics, Dimensions, and Filtering
- Concept 01: Intro
- Concept 02: Metrics, Dimensions and Filtering Introduction
- Concept 03: Dimensions and Metrics Definitions
- Concept 04: Understanding Dimension and Metric Data
- Concept 05: Applying a Secondary Dimension
- Concept 06: Basic and Advanced Table Filters
- Concept 07: Quiz: Metrics, Dimensions, and Filtering
- Concept 08: Advanced Pattern Matching with Regular Expressions
- Concept 09: Another Example with Regular Expressions
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Lesson 08: Time Metrics and Comparisons
- Concept 01: Intro
- Concept 02: Time Metrics and Comparisons Introduction
- Concept 03: Time On Page And Session Duration
- Concept 04: Quiz: Time Metrics
- Concept 05: Time Metric Calculation
- Concept 06: Events And Time Calculation
- Concept 07: Comparing Time Metrics and Date Ranges
- Concept 08: Comparing Avg. Session Duration Against Conversion Metrics
- Concept 09: Time-Based Goals
- Concept 10: Quiz: Time Metrics & Comparisons
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Lesson 09: Segments and Audiences
Learn how to create segments based on user characteristics and behaviors, as well as audience segments for marketing and testing.
- Concept 01: Intro
- Concept 02: Segments and Audiences Introduction
- Concept 03: Why Segmentation Is Critical For Analysis
- Concept 04: Segmenting Based on User and Session Characteristics
- Concept 05: Quiz: Segments
- Concept 06: Behavioral Segments
- Concept 07: Mapping Segments to User Constituencies
- Concept 08: Creating Audiences for Remarketing and Testing
- Concept 09: Dynamic Remarketing
- Concept 10: Quiz: Segments, Audiences, & Remarketing
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Lesson 10: View Filters and Settings
Learn how to clean, subset, and enrich the raw property feed through view filters and settings.
- Concept 01: Intro
- Concept 02: View Filters and Settings Introduction
- Concept 03: View Settings vs. Custom Segments
- Concept 04: Baseline Three Views Per Property
- Concept 05: Excluding Internal Traffic
- Concept 06: Quiz: Filters & Settings
- Concept 07: Lowercasing Dimension Values
- Concept 08: Default Page
- Concept 09: Conslolidating Pages with Trailing Forward Slash
- Concept 10: Page Consolidation
- Concept 11: Page Consolidation Continued
- Concept 12: Track URL Parameters as Custom Dimensions
- Concept 13: Query Parameter Utility
- Concept 14: Site Search Configuration
- Concept 15: Tracking Country-Specific Search Engine Clickthroughs
- Concept 16: Specialized Views For Data Subsets
- Concept 17: Time Zone Settings for Google Analytics Views
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Lesson 11: Access Rights
Learn the different levels of access rights and other administrative features within Google Analytics.
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Lesson 13: Acquisition, Conversion, and Attribution
- Concept 01: Intro
- Concept 02: UTM Tagging for Campaigns Introduction
- Concept 03: Using Campaign Tags for Display, Remarketing & PPC Campaigns
- Concept 04: Maintaining Document Referrer
- Concept 05: Autotagging for Adwords
- Concept 06: Quiz: UTM Campaign Tags
- Concept 07: When UTM Tagging is not Needed
- Concept 08: Consistency in Tag Naming
- Concept 09: Strategies For Tagging Across Team
- Concept 10: Alternatives to Campaign Tags on Internal Links
- Concept 11: Using Campaign Tags for Mobile Apps (Legacy SDKs)
- Concept 12: Using campaign tags for mobile apps- Legacy SDKs & Firebase
- Concept 13: Quiz: When UTMs aren’t needed
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Lesson 14: Channel Customization
- Concept 01: Intro
- Concept 02: Channel Customization Introduction
- Concept 03: Understanding the Default Channel Definitions
- Concept 04: Custom Channels: Remarketing, Paid Social, Redirects & SMS
- Concept 05: Minimizing the (other) channel
- Concept 06: Retroactive and personal channels
- Concept 07: Quiz: Everything about Channel definitions
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Lesson 15: Ecommerce
- Concept 01: Intro
- Concept 02: Ecommerce Introduction
- Concept 03: Overview of Basic vs. EEC
- Concept 04: Configuration (Basic EC)
- Concept 05: Quiz: Ecommerce Configuration
- Concept 06: EEC
- Concept 07: Using Behavioral Funnels to segment & Remarket to Users
- Concept 08: EC/EEC in Mobile Apps
- Concept 09: Quiz: Ecommerce Reporting, Funnels, Retargeting, Mobile App
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Lesson 16: Attribution
- Concept 01: Intro
- Concept 02: Attribution Introduction
- Concept 03: Last Non-Direct Click Attribution Model
- Concept 04: How Google Analytics Reports Direct Traffic
- Concept 05: Quiz: Attribution
- Concept 06: Revisit the Multi-Channel Funnel Reports
- Concept 07: Conversion Segments
- Concept 08: Model Comparison Tool in the Google Analytics UI
- Concept 09: Viewing Ad Impression Data in GA
- Concept 10: Quiz: MCF Reports
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Lesson 17: Conversion Credit for Pages and Events
- Concept 01: Intro
- Concept 02: Conversion Credit for Pages and Events Introduction
- Concept 03: The Relationship of Scope to Conversion Reporting
- Concept 04: Page Value
- Concept 05: Quiz: All about Page Value
- Concept 06: Funnel Metrics
- Concept 07: Reverse Goal Path
- Concept 08: Sequence Segments
- Concept 09: Quiz: All about funnel metrics
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Lesson 18: Custom Reports
- Concept 01: Intro
- Concept 02: Custom Reports Introduction
- Concept 03: Streamlined, Customized Reporting
- Concept 04: Quiz: Custom Reports overview, contents, & access levels
- Concept 05: Specialized Dimensions and Metrics in Custom Reports
- Concept 06: Formatting and Filtering
- Concept 07: Sampling
- Concept 08: Quiz: Specialized Dimensions and Metrics in Custom Reports
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Lesson 19: Dashboards and Shortcuts
- Concept 01: Intro
- Concept 02: Dashboards and Shortcuts Introduction
- Concept 03: Google Analytics Dashboard Configuration
- Concept 04: Quiz: Dashboard creation, data sets, and limits in GA
- Concept 05: Importing from Solutions Gallery
- Concept 06: Sharing and Exporting Dashboards and Reports
- Concept 07: Sharing Configurations
- Concept 08: Saved Reports
- Concept 09: Quiz: Sharing dashboards, custom reports, assets, and saved
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Lesson 20: Visualizing GA Data in Data Studio
- Concept 01: Intro
- Concept 02: Visualizing GA Data in Data Studio Introduction
- Concept 03: Linking GA to DS with a Data Connector
- Concept 04: Quiz: Creating dashboards, data connectors
- Concept 05: Chart Types
- Concept 06: Dynamic Filtering & View Swapping
- Concept 07: DS vs. GA for Dashboarding
- Concept 08: Quiz: Chart types, default dimensions, & more
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Lesson 21: Annotations and Custom Alerts
- Concept 01: Intro
- Concept 02: Overview & When to Use
- Concept 03: Annotations - How To
- Concept 04: Annotations - How To II
- Concept 05: Annotation Clarifies Metrics After Site Launch
- Concept 06: Quiz: Annotations visibility
- Concept 07: Custom Alerts - Overview
- Concept 08: Custom Alerts - Overview II
- Concept 09: Custom Alerts - How To
- Concept 10: Quiz: Annotations Part 2
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Part 05 : Career Services
These Career Services will ensure you make meaningful connections with industry professionals to accelerate your career growth - whether looking for a job or opportunities to collaborate with your peers. Unlike your Nanodegree projects, you do not need to meet specifications on these Services to progress in your program. Submit these Career Services once, and get honest, personalized feedback and next steps from Udacity Career Coaches!
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Module 01: Career Services
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Lesson 01: Industry Research
You're building your online presence. Now learn how to share your story, understand the tech landscape better, and meet industry professionals.
- Concept 01: Self-Reflection: Design Your Blueprint for Success
- Concept 02: Debrief: Self-Reflection Exercise Part 1
- Concept 03: Debrief: Self-Reflection Exercise Part 2
- Concept 04: Map Your Career Journey
- Concept 05: Debrief: Map Your Career Journey
- Concept 06: Conduct an Informational Interview
- Concept 07: How to Request an Informational Interview
- Concept 08: Ways to Connect
- Concept 09: Ask Good Questions
- Concept 10: Debrief: Sample Questions Quiz
- Concept 11: Keep the Conversation Going
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Lesson 02: Take 30 Min to Improve your LinkedIn
Find your next job or connect with industry peers on LinkedIn. Ensure your profile attracts relevant leads that will grow your professional network.
- Concept 01: Get Opportunities with LinkedIn
- Concept 02: Use Your Story to Stand Out
- Concept 03: Why Use an Elevator Pitch
- Concept 04: Create Your Elevator Pitch
- Concept 05: Use Your Elevator Pitch on LinkedIn
- Concept 06: Create Your Profile With SEO In Mind
- Concept 07: Profile Essentials
- Concept 08: Work Experiences & Accomplishments
- Concept 09: Build and Strengthen Your Network
- Concept 10: Reaching Out on LinkedIn
- Concept 11: Boost Your Visibility
- Concept 12: Up Next
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Part 06 : Marketing Analytics Techniques
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Module 01: Marketing Analytics Techniques
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Lesson 01: Introduction to Marketing Analytics
- Concept 01: Introduction to Marketing Analytics
- Concept 02: Ecosystem
- Concept 03: Quiz: Ecosystem
- Concept 04: Data Collection
- Concept 05: Quiz: Data Collection
- Concept 06: Layering in Data
- Concept 07: Quiz: Layering in Data
- Concept 08: Analytics Process
- Concept 09: Quiz: Analytics Process
- Concept 10: Analyzing Metrics
- Concept 11: Quiz: Analyzing Metrics
- Concept 12: Questions to Answer
- Concept 13: Quiz: Questions to Answer
- Concept 14: Common Questions
- Concept 15: Common Metrics
- Concept 16: Quiz: Common Metrics
- Concept 17: Business Goals
- Concept 18: Quiz: Business Goals
- Concept 19: Frameworks
- Concept 20: Quiz: Frameworks
- Concept 21: The Marketing Funnel
- Concept 22: Metrics by Channel
- Concept 23: Quiz: Metrics by Channel
- Concept 24: Recap
- Concept 25: Experimentation
- Concept 26: Always Think Actionably
- Concept 27: Quiz: Always Think Actionably
- Concept 28: In Practice
- Concept 29: Value of Analytics
- Concept 30: Quiz: Values of Analytics
- Concept 31: Lesson Recap
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Lesson 02: Metrics That Matter
- Concept 01: Intro
- Concept 02: Metrics That Matter
- Concept 03: Quiz: Metrics That Matter
- Concept 04: Measuring Across the Journey
- Concept 05: Quiz: Measuring Across the Journey
- Concept 06: The Analytic Brief
- Concept 07: Text: The Analytic Brief
- Concept 08: Quiz: The Analytic Brief
- Concept 09: Business Story
- Concept 10: Text: Analytic Brief Business Story
- Concept 11: Quiz: Business Story
- Concept 12: Customer Story
- Concept 13: Text: Analytic Brief Customer Story
- Concept 14: Quiz: Customer Story
- Concept 15: Text: Customer Journey
- Concept 16: Testing & Learning Plan
- Concept 17: Text: Testing & Learning Plan
- Concept 18: Quiz: Testing & Learning
- Concept 19: Template: Analytics Brief
- Concept 20: Recap Business Story
- Concept 21: Quiz: Analytic Brief
- Concept 22: Customer Segmenting
- Concept 23: Quiz: Customer Segmenting
- Concept 24: Common Tools
- Concept 25: Quiz: Common Tools
- Concept 26: Social & Web Monitoring Tools
- Concept 27: Social & Web Monitoring Tools Expanded
- Concept 28: Quiz: Social & Web Monitoring Tools
- Concept 29: Search Analytics Tools
- Concept 30: Search Analytics Tools Expanded
- Concept 31: Quiz: Search Analytics Tools
- Concept 32: Audience Analytics Tools
- Concept 33: Audience Analytics Quiz
- Concept 34: Content Analytics Tools
- Concept 35: Content Analytics Tools Expanded
- Concept 36: Quiz: Content Analytics Tools
- Concept 37: Summary of Lesson
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Lesson 04: Analyzing Marketing Data
- Concept 01: Introduction
- Concept 02: Digital Analysis: Paid
- Concept 03: Measuring Paid Channels
- Concept 04: Quiz: Paid
- Concept 05: Click Through Rate
- Concept 06: Calculating Click Through Rate
- Concept 07: Quiz: Click Through Rate
- Concept 08: Cost Per Click
- Concept 09: Calculating Cost Per Click (CPC)
- Concept 10: Quiz: Cost Per Click (CPC)
- Concept 11: Cost Per Lead
- Concept 12: Calculating Cost Per Lead
- Concept 13: Quiz: Cost Per Lead
- Concept 14: Customer Acquisition Cost (CAC)
- Concept 15: Calculating Customer Acquisition Cost
- Concept 16: Calculating Customer Acquisition Cost with a Delay
- Concept 17: Quiz: Customer Acquisition Cost CAC
- Concept 18: Cost Per Acquisition (CPA)
- Concept 19: Calculating: Cost Per Acquisition (CPA)
- Concept 20: Quiz: Cost Per Acquisition (CPA)
- Concept 21: Lifetime Value
- Concept 22: Calculating: Lifetime Value
- Concept 23: Quiz: Lifetime Value
- Concept 24: Solution for Life Time Value Quiz
- Concept 25: Interpreting Lifetime Value
- Concept 26: Common Facebook & Twitter Data
- Concept 27: Quiz: Facebook Data
- Concept 28: Common Google Ads Data
- Concept 29: Quiz: Google Ads
- Concept 30: Recap
- Concept 31: Digital Analysis: Owned
- Concept 32: Quiz: Owned
- Concept 33: Sales Metrics
- Concept 34: Sales Funnel
- Concept 35: Sales Funnel Recap
- Concept 36: Total Bookings
- Concept 37: Average Deal Size
- Concept 38: Average Time to Close
- Concept 39: Check For Understanding: Sales Metrics
- Concept 40: Check For Understanding: Marketing
- Concept 41: Growth Metrics
- Concept 42: Engagement Metrics
- Concept 43: Stickiness
- Concept 44: Calculating: Stickiness
- Concept 45: Quiz: Stickiness
- Concept 46: Recap: Stickiness
- Concept 47: Churn Rate
- Concept 48: Calculating: Churn Rate
- Concept 49: Quiz: Churn Rate
- Concept 50: Recap: Churn Rate
- Concept 51: Recap: Owned
- Concept 52: Digital Analysis: Earned
- Concept 53: Quiz: Earned
- Concept 54: Website Referrals
- Concept 55: Quiz: Website Referrals
- Concept 56: Mentions
- Concept 57: Quiz: Mentions
- Concept 58: Share of Voice
- Concept 59: Quiz: Share of Voice
- Concept 60: Lesson Recap
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Lesson 05: Excel Modeling
- Concept 01: Introduction
- Concept 02: Lesson Structure
- Concept 03: Introduction to Modeling
- Concept 04: Top-Down Approach
- Concept 05: Bottom-Up Approach
- Concept 06: Components of a Model
- Concept 07: Historical Data & Assumptions
- Concept 08: Calculating: Historical Data & Assumptions
- Concept 09: Recap: Historical Data
- Concept 10: Sales Forecasting
- Concept 11: Bottom-Up Approach for Sale Forcasting
- Concept 12: Calculating: Bottom-Up Approach
- Concept 13: Recap: Bottom-Up Approach
- Concept 14: Top-Down Sales Forecasting
- Concept 15: Calculating: Top-Down Sales Forecasting
- Concept 16: Quiz: Top-Down Sales Forecasting
- Concept 17: Solution for Quiz: Top-down Sales Forecasting
- Concept 18: Scenario or Sensitivity Analysis
- Concept 19: Transitioning to Spreadsheet Tools
- Concept 20: Data Validation
- Concept 21: Recap: Data Validation
- Concept 22: Index
- Concept 23: Recap: Index
- Concept 24: Match with One Criterion
- Concept 25: Index and Match with Multiple Criteria
- Concept 26: Offset - Part I
- Concept 27: Offset and Match -Part II
- Concept 28: Quiz: Bottom-Up Financial Forecasting
- Concept 29: Solution for Quiz: Bottom-Up Financial Forecasting
- Concept 30: Congratulations
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Lesson 06: Macro Digital Analysis
- Concept 01: Macro Digital Analysis
- Concept 02: Market Size & Market Share
- Concept 03: Text: Calculating Marketing Size & Market Share
- Concept 04: Quiz: Market Size & Market Share
- Concept 05: Penetration
- Concept 06: Quiz: Penetration
- Concept 07: Brand Equity
- Concept 08: Calculating Brand Equity
- Concept 09: Quiz: Brand Equity
- Concept 10: Trends
- Concept 11: Calculating: Trends
- Concept 12: Trends
- Concept 13: Competitor Analysis
- Concept 14: Calculating: Competitor
- Concept 15: Quiz: Competitor
- Concept 16: Traditional Channel Analysis
- Concept 17: Channel Analysis
- Concept 18: Quiz: Channel Analysis
- Concept 19: NPS
- Concept 20: Calculating NPS
- Concept 21: Quiz: NPS
- Concept 22: Customer Satisfaction
- Concept 23: Quiz: Customer Satisfaction
- Concept 24: Return on Sales
- Concept 25: Quiz: ROS
- Concept 26: Price Premium
- Concept 27: Quiz: Price Premium
- Concept 28: Baseline & Incremental Lift
- Concept 29: Lesson Recap
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