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Marketing Analytics Nanodegree Program

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Course Report - Marketing Analytics Nanodegree Program

Course Report

Find detailed report of this course which helps you make an informed decision on its relevance to your learning needs. Find out the course's popularity among Careervira users and the job roles that would find the course relevant for their upskilling here. You can also find how this course compares against similar courses and much more in the course report.

Course Features

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Duration

3 months

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Delivery Method

Online

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Available on

Limited Access

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Accessibility

Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Beginner

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Effort

5 hours per week

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Teaching Type

Self Paced

Course Description

This program will teach you foundational data skills and give you a deep understanding of Google Analytics. This program will teach you how to analyze data, build models using Excel and Data Studio, as well as create data visualizations using Tableau.

Course Overview

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Job Assistance

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Personlized Teaching

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International Faculty

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Post Course Interactions

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Hands-On Training

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Case Studies, Captstone Projects

Skills You Will Gain

Prerequisites/Requirements

There are no prerequisites for this Nanodegree program

What You Will Learn

Learn how to use statistics and visuals to find and communicate insights

Learn to apply design and visualization principles

In-depth knowledge of Google Analytics

learn about a wide range of marketing and business metrics

Target Students

Anyone who meets the eligibility criteria can join this course

Course Instructors

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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 u...
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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.
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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 ...
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Mat Leonard

Instructor

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

Course Reviews

Average Rating Based on 4 reviews

5.0

100%

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