At 5 hrs/week
Get access to classroom immediately on enrollment
Learn how to use statistics and visuals to find and communicate insights. Develop Excel skills to manipulate, analyze, and visualize data in a spreadsheet. Build Excel models to analyze possible business outcomes.Interpret a Data VisualizationAnalyze Survey Data
Learn to apply design and visualization principles to create impactful data visualizations, build data dashboards, and tell stories with data.Storytelling With DataBuild Data Dashboards
In this course you’ll acquire in-depth knowledge of Google Analytics, as you learn to use advanced reporting techniques, analyze and optimize results, build fluency with Data Studio, and produce actionable insights that power significant business growth.Advanced Displays, Segments & ViewsNavigating, Reports, & Dashboards
In this course you will learn about a wide range of marketing and business metrics, and how to evaluate the growth and health of your marketing efforts.Crafting an Analytic BriefCreate a Campaign Report
from industry experts
Personal career coach and
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.
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.
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.
Mat is a former physicist, research neuroscientist, and data scientist. He did his PhD and Postdoctoral Fellowship at the University of California, Berkeley.
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.
This Nanodegree program is an excellent introduction to the fundamentals of data and marketing analysis. You will leave with practical skills that you can apply in any job. These skills are also an excellent foundation for a career in marketing analysis, data analysis, and data science.
This is an introductory program that is not designed to prepare you for a specific job. However it is well-suited for those those looking to apply data skills in their current roles. It is also a great first step on a journey to becoming a marketing analyst or data scientist. We have more courses that will pick up from where this course leaves off to help you become ready for a career in marketing or data science.
This Nanodegree program offers an ideal path for students new to marketing and data analysis. Data is a transformational force in every marketing team and business. Analysis of data has become a mandatory skill to have in order to provide value in any organization. This Nanodegree program offers an introduction to the world of data. By learning foundational marketing and analytics tools, you will be ready to advance in a career in marketing analytics.
There is no application. This Nanodegree program accepts everyone, regardless of experience and specific background.
There are no prerequisites for enrolling aside from basic computer skills and English proficiency. You should feel comfortable performing basic operations on your computer like opening files and folders, opening applications, and copying & pasting. Although no prior experience with Google Analytics is required, familiarity with the platform is useful.
The Marketing Analytics Nanodegree program is comprised of content and curriculum to support eight (8) projects. We estimate that students can complete the program in three (3) months, working 5-10 hours per week.
Each project will be reviewed by the Udacity reviewer network. Feedback will be provided and if you do not pass the project, you will be asked to resubmit the project until it passes.
Please see the Udacity Program FAQs for policies on enrollment in our programs.
To enroll, students will need a Gmail account to use Google Analytics.