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Data Product Manager Nanodegree Program

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Course Report - Data Product Manager 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

Intermediate

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Effort

10 hours per week

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Teaching Type

Self Paced

Course Description

Leverage market data to amplify product development. You will learn how to use data science techniques, market experimentation tests, and data engineering processes to create customized product experiences. To help you develop your product strategy, use Tableau and SQL. Next, create data pipelines and warehouse strategies to prepare data from products for robust analysis. Learn how to evaluate data from live products. This includes designing and executing multivariate and A/B tests that will shape the next iteration.

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Highlights

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Career Impact

Top 5 Percentile

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Course Credibility

Top 20 Percentile

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Pedagogy

Top 1 Percentile

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Parameters

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Course Credibility

Delivered through Udacity a renowned institution in the field, this course offers a comprehensive learning experience.

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Pedagogy

Designed for newcomers to Data Analytics, this course provides a tailored and comprehensive overview, facilitating effective learning and understanding of the subject. It caters to beginners' needs, ensuring a smooth and engaging introduction to the Data Analytics field. An exceptional course in Data Analytics, this stands out for its Self Paced learning approach. Learners have the flexibility to progress at their own speed, tailoring the experience to their individual needs.

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Career Impact

This course is exceptional, ranking among the top 5 percentile in Data Analytics for its significant career impact and excellent job assistance. Learners benefit from valuable career opportunities and support, enabling them to secure relevant positions and excel in the industry. The course's dual focus on career impact and job assistance enhances its value, making it an ideal choice for individuals seeking to advance their careers and succeed in the Data Analytics field.

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

No prior experience with data modeling & data engineering is required However, a basic understanding of data terminology (ie big data, database, algorithms, etc), some experience with data analysis (basic SQL & Tableau), and a general understanding of pro

What You Will Learn

Learn how to visualize your data with Tableau

Evaluate the output captured in statistical analyses

Target Students

Anyone who meets the eligibility criteria can join this course

Course Instructors

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JJ Miclat

Sr. Product Manager at Zendesk

JJ is a product leader obsessed with creating simple, novel solutions for the world’s most challenging issues. He’s sunk his teeth into analytics & data product management for Beats Music, Apple, VSCO, & Collective Health.
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Vaishali Agarwal

Product Manager at Expedia

Vaishali has 12+ years’ experience in tech eco-system ranging from product management, product development, content writing to coding. She is experienced in building platforms, high performance sta...
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Anne Rynearson

Sr. Product Manager at Disqo

Anne has 6+ years’ experience in product management in the software industry, including EdTech and market research industries. She is an agile leader experienced in launching and growing both consumer and enterprise-facing products.
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