Download and Learn Become a Data Product Manager Udacity Nanodegree Course 2022 for free with google drive download link.

Leverage data to build products that deliver the right experiences, to the right users, at the right time. Lead the development of data-driven products that position businesses to win in their market.

What You’ll Learn in Become a Data Product Manager Nanodegree

Data Product Manager

3 months to complete

Leverage market data to amplify product development. Learn how to apply data science techniques, data engineering processes, and market experimentation tests to deliver customized product experiences. Begin by leveraging the power of SQL and Tableau to inform product strategy. Then, develop data pipelines and warehousing strategies that prepare data collected from a product for robust analysis. Finally, learn techniques for evaluating the data from live products, including how to design and execute various A/B and multivariate tests to shape the next iteration of a product.

Become a Data Product Manager Nanodegree Intro Video:

Prerequisite knowledge

Prior Data Analysis & Product Management Experience Recommended

No prior experience with data modeling & data engineering is required. However, a basic understanding of data terminology (i.e. big data, database, algorithms, etc.), some experience with data analysis (basic SQL & Tableau), and a general understanding of product management is helpful.

Applying Data Science to Product Management

As products become more digital, the amount of data collected is increasing. Product managers now have the opportunity to utilize this data to not only enhance existing products, but create completely new ones. Understand the role of data product managers within organizations and how they utilize data science, machine learning, and artificial intelligence to solve problems. Learn how to visualize your data with Tableau for statistical analysis and identify unique relationships between variables via hypothesis testing and modeling. Evaluate the output captured in statistical analyses and translate them into insights to inform product decisions.

Project – Develop a Data-Backed Product Proposal

A key responsibility of data product managers is analyzing market data to propose new product opportunities. In this project, you will apply the skills acquired in this course to create the MVP launch strategy for the first flying car taxi service, Flyber, in one of the most congested cities in America — New York City. Your team acquired taxi data for a comparable initial analysis. The dataset contains real taxi drop-offs and pick-ups in New York City. First, you will analyze the existing use cases for and identify temporal, behavioral, and spatial trends of ground-based taxis from the dataset. Next, you will deep-dive into user research data, to understand the general sentiment, desire, concerns, and use cases of a flying cab service to prospective customers. Finally, you will synthesize your insights to create a data-backed product proposal that recommends what features the first flying taxi service should have to maximize consumer delight, adoption and profits.

Establishing Data Infrastructure

Products that collect data from its users can only leverage such data if it gets processed and stored properly. Data product managers need to ensure their products have the appropriate supporting data pipelines in place so that data collected from users can be extracted, transformed, and loaded into a data lake or warehouse that can be used for statistical analysis. Learn about data infrastructure components including data pipelines, data producers, data consumers, data storage, and data processing. Master the nuances of evaluating strategic decisions for data pipeline technology, including security and compliance. Apply learnings to make step-by-step decisions for data infrastructure of an organization. Create solutions for real-world data infrastructure problems and evaluate tradeoffs.

Project – Build a Scalable Data Strategy

Once a product has been launched into the market, the amount of data collected typically dramatically increases, and requires the appropriate infrastructure to support such growth. In this project, you will continue acting as a data product manager for Flyber, a flying-taxi service that has been massively successful in New York City after its first product launch, and create a data strategy to not only handle the massive amount of incoming data, but also process it to get the business insights needed to grow the business. First, you will define the data needs of primary business stakeholders within the organization and create a data model to ensure the data collected supports those needs. Then, you will perform the necessary extraction and transformation of the data to make the data relevant to answer business questions. Lastly, you will interpret data visualizations to understand the scale of Flyber’s data growth and choose an appropriate data warehouse to enable that growth.

Leveraging Data in Iterative Product Design

The best products adapt to market changes over time and are constantly being refined based on user feedback. With a robust data pipeline, the amount of data collected through product usage is extremely valuable to product managers for enhancing their products. Understand which data is best collected through quantitative versus qualitative methods, and how to interpret it. Learn how to apply chi-square tests to determine if results from data analysis are statistically significant. Utilize user data to create user personas that are actionable for development teams to translate into code and for building out user journey maps that describe the stages a user engages with the product along with the associated risks and opportunities. Extract insights from user journey maps to define KPIs of suggested product enhancements and design the relative hypotheses and experiments that are needed to prove the assumptions of product enhancements.

Project – Create an Iterative Design Path

As products exist in the market over time, opportunities for product design improvements arise. In this project, you will continue in the role as a data product manager for Flyber, a flying-taxi service that has grown its user base exponentially, and define customer segments and relevant new product feature opportunities. First, you will evaluate data from a conducted A/B test to identify key behavioral and descriptive attributes of users to define user personas and map out the significant stages of the user journey within the Flyber app. Then, you’ll create an assumption map to explain the testable risks, opportunities, and correlated KPIs for product design improvements of the app experience, including the most impactful page and most significant subset of users. Lastly, you’ll use the completed assumption map as well as the developed user persona and journey to construct hypotheses for new product features of the Flyber app and experiments to validate these hypotheses.

According to Glassdoor, annual salaries for Product Managers in the US average around $109,000.

All our programs include:

Real-world projects from industry experts

With real world projects and immersive content built in partnership with top tier companies, you’ll master the tech skills companies want.

Technical mentor support

Our knowledgeable mentors guide your learning and are focused on answering your questions, motivating you and keeping you on track.

Career services

You’ll have access to Github portfolio review and LinkedIn profile optimization to help you advance your career and land a high-paying role.

Flexible learning program

Tailor a learning plan that fits your busy life. Learn at your own pace and reach your personal goals on the schedule that works best for you.

❗❗ Important Must Read ❗❗

Regarding Google Drive, we are only accepting 100 file requests per day because Google has banned our Drive account from publicly sharing larger files. Additionally, some websites are using our files without giving us credit. So we’ve made the course material / file private; you can request it, but it’s first come, first served. We are currently receiving over 6000+ file requests per day.

Now we have all updated Udacity Courses up to June 8, 2022 – new courses, totaling 78 Nanodegree Courses with full Materials (Note: We are the only website on the internet to have all the Updated Udacity Course).

We are no longer offering Dedicated Drives to new users.

Use This Password to Extract file: “udacitycourses.com“

We have Shared Mediafire / Mega.nz download link for Some Courses updated on 2019 in our Telegram Channel and More info about Dedicated Drive and for Support:
https://t.me/udact

Become a Data Product Manager Nanodegree Free Download Link: