Marketing Analytics

Name: Marketing Analytics Nanodegree Program
Rating: 4.6 (223 reviews)

Nanodegree Program

Gain foundational data skills applicable to marketing. Collect and analyze data, model marketing scenarios, and communicate your findings with Excel, and Tableau.

Beginner

2 months

Real-world Projects

Completion Certificate

Last Updated June 18, 2024

Skills you'll learn:

Marketing macro-analytics • Marketing analytics • Digital marketing metrics • Marketing metrics

Prerequisites:

No experience required

Courses In This Program

Course 1 • 32 minutes

Welcome to the Nanodegree

Lesson 1

Welcome to Marketing Analytics

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Lesson 1

Welcome to Marketing Analytics

Lesson 2

Getting Help

You are starting a challenging but rewarding journey! Take 5 minutes to read how to get help with projects and content.

Lesson 3

Get Help with Your Account

What to do if you have questions about your account or general questions about the program.

Course 2 • 2 weeks

Introduction to Data

Lesson 1

Descriptive Statistics - Part I

In this lesson, you will learn about data types, measures of center, and the basics of statistical notation.

Lesson 2

Descriptive Statistics - Part 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 inferential statistics.

Lesson 3

Spreadsheets 1: Getting Started

In this lesson, you will learn about the basic functionality for spreadsheet software, use cell referencing and menu shortcuts.

Lesson 4 • Project

Project: Working with Data

Lesson 5

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.

Lesson 6

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.

Lesson 7

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.

Lesson 8 • Project

Project: Analyze Survey Data

Lesson 1

Descriptive Statistics - Part I

In this lesson, you will learn about data types, measures of center, and the basics of statistical notation.

Lesson 2

Descriptive Statistics - Part 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 inferential statistics.

Lesson 3

Spreadsheets 1: Getting Started

In this lesson, you will learn about the basic functionality for spreadsheet software, use cell referencing and menu shortcuts.

Lesson 4 • Project

Project: Working with Data

Lesson 5

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.

Lesson 6

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.

Lesson 7

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.

Lesson 8 • Project

Project: Analyze Survey Data

Course 3 • 2 weeks

Data Visualization

Learn how to select the most appropriate data visualization for an analysis. Learn how to evaluate the effectiveness of a data visualization and build interactive and engaging Tableau dashboards.

Lesson 1

Data Visualization Fundamentals

In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.

Lesson 2

Design Principles

In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.

Lesson 3 • Project

Project - Storytelling With Data

Lesson 4

Creating Visualizations in Tableau

This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.

Lesson 5

Telling Stories with Tableau

In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.

Lesson 6 • Project

Build a Data Visualization project

In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.

Lesson 1

Data Visualization Fundamentals

In this lesson you learn to evaluate the quality of data visualizations and build high quality visualizations, starting with the fundamentals of data dashboards.

Lesson 2

Design Principles

In this lesson you learn to implement the best design practices, and to use the most appropriate chart for a particular situation.

Lesson 3 • Project

Project - Storytelling With Data

Lesson 4

Creating Visualizations in Tableau

This lesson teaches you how to build data visualizations in Tableau using data hierarchies, filters, groups, sets, and calculated fields, as well as create map-based data visualizations in Tableau.

Lesson 5

Telling Stories with Tableau

In this lesson you learn how to build interactive Tableau dashboards and tell impactful stories using data.

Lesson 6 • Project

Build a Data Visualization project

In this project, you’ll build interactive dashboards with Tableau and use them to discover and communicate insights from data.

Course 4 • 2 weeks

Marketing Analytics Techniques

Lesson 1

Introduction to Marketing Analytics

Lesson 2

Metrics That Matter

Lesson 3 • Project

Project: Crafting an Analytic Brief

Lesson 4

Analyzing Marketing Data

Lesson 5

Macro Digital Analysis

Lesson 6 • Project

Project: Create a Proposal for the Next Quarter

Lesson 1

Introduction to Marketing Analytics

Lesson 2

Metrics That Matter

Lesson 3 • Project

Project: Crafting an Analytic Brief

Lesson 4

Analyzing Marketing Data

Lesson 5

Macro Digital Analysis

Lesson 6 • Project

Project: Create a Proposal for the Next Quarter

Taught By The Best

Brad Batesole

Marketing Executive

Brad is a marketing executive who has led teams of top marketers at top companies; Lynda.com, TMZ, LegalZoom, and LinkedIn. He has extensive experience from every angle, from marketing strategy and user experience to social media, paid media, and SEO.

Anke Audenaert

Instructor

Anke led the development of Digital Marketing programs at Udacity. She previously ran Market Research at Yahoo!, co-founded two companies, and is on the marketing faculty at UCLA Anderson.

Mat Leonard

Content Developer

Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.

Dana Sheahen

Content Developer

Dana is an electrical engineer with a Masters in Computer Science from Georgia Tech. Her work experience includes software development for embedded systems in the Automotive Group at Motorola, where she was awarded a patent for an onboard operating system.

Josh Bernhard

Data Scientist at Nerd Wallet

Josh has been sharing his passion for data for nearly a decade at all levels of university, and as Lead Data Science Instructor at Galvanize. He's used data science for work ranging from cancer research to process automation.

Ratings & Reviews

Average Rating: 4.6 Stars

223 Reviews

Diana V.

March 9, 2023

I am learning a lot about data analysis and visualization. Really helpful in my daily job.

Kyaw T.

February 5, 2023

The reviewers are very picky. I don't like that. They refused to review my work just because I missed one or two things. They shouldn't do that. That's disrespectful. They should consider the stress, time, and brain energy I put in.

Nouran K.

September 13, 2022

so far so good :)

Ahmed E.

June 3, 2022

Awesome Project, very diverse content

Armin R.

May 24, 2022

I miss the mentor

The Udacity Difference

Combine technology training for employees with industry experts, mentors, and projects, for critical thinking that pushes innovation. Our proven upskilling system goes after success—relentlessly.

Demonstrate proficiency with practical projects

Projects are based on real-world scenarios and challenges, allowing you to apply the skills you learn to practical situations, while giving you real hands-on experience.

Gain proven experience
Retain knowledge longer
Apply new skills immediately

Top-tier services to ensure learner success

Reviewers provide timely and constructive feedback on your project submissions, highlighting areas of improvement and offering practical tips to enhance your work.