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Become a Product Manager | Learn the Skills & Get the Job
Data Analytics / Healthcare Analytics

Become a Product Manager | Learn the Skills & Get the Job

The most complete course available on Product Management. 13+ hours of videos

0 Students Enrolled
Expert
English
This Course Includes:
  • 18h 51m
  • 164 Lectures
  • 243 Downloadable Assets
  • Full Lifetime Access
  • Access On Mobile And Tv
  • Certificate On Completion

Overview

What will students learn in your course?
  • Understand the varying role of a Product Manager through different types and sizes of companies
  • Decide which type of Product Manager best fits one's goals and personality
  • Understand the Product Lifecycle and how it applies to every product
  • Understand the modern Product Development Process that both Fortune 500s and Startups adhere to
  • Know how to identify ideas worth pursuing and dedicating resources to
  • Understand how to get at the root of customer pain points
  • Understand and communicate customer pain by type and frequency
  • Assess the core problem of a product
  • Find and compare competitors and competing products
  • Differentiate between Direct, Indirect, Substitute, and Potential competitors
  • Understand the process of Customer Development and how it relates to being a Product Manager
  • How to find potential interviewees for product interviews, user tests, and exploratory interviews
  • How to structure and run a customer interview
  • How to model interview questions correctly while avoiding bias
  • Navigate the four different types of customer interviews
  • Find potential interviewees both internally and externally
  • Write emails that will get users and potential customers to respond
  • Build user personas based on both qualitative and quantitative data
  • Understand the difference between a wireframe, a mockup, and a prototype
  • Sketch out a wireframe with just a pen and paper
  • Use Balsamiq to create wireframes at an intermediate level
  • Use a sketch system called POP for digitizing product sketches
  • Create specs for epics and user stories
  • Properly apply acceptance criteria
  • Run a variety of MVP experiments, such as pitch experiments, redirects, shadow buttons, and more
  • Correctly evaluate which product metrics to track and which to ignore
  • Apply the AARRR framework to your product
  • Apply the HEART framework to your product
  • Track your metrics using a variety of software
  • Create a product and feature roadmap
  • Create a product backlog and properly prioritize features
  • Calculate team velocity and build estimations for product delivery
  • Understand the difference between Agile and Waterfall development
  • Understand the difference between two popular Agile frames: Scrum and Kanban
  • Learn software development concepts like APIs, mobile development, Front End, Back End, MySQL, programming frameworks, and more
  • Communicate effectively with all the stakeholders of a product
  • Communicate effectively with engineers in a way they will appreciate and understand
  • Communicate effectively with designers by focusing on the things they care about most
  • Communicate effectively with executives and higher-ups
  • Understand the role of technology in modern Startups and Fortune 500s
  • Understand the basics of "The Cloud" and Servers vs. Clients
  • Understand the basics of front-end vs. back-end technology, tech stacks, and how they integrate together
  • Understand the basics of APIs, what they do, what they look like, and how your team might use them
  • Understand how to obtain relevant experience to set up for a transition to Product Management
  • Build a portfolio that will assist in a hiring application
  • How to self-brand online and build a following pre-hire
  • What to look for in Product Management jobs and what to ignore
  • How to apply insider tips and tricks to getting hired as a Product Manager
  • Craft a resume that appeals to a hiring manager for Product Management placement
  • Ace the Product Manager interview
  • Excel beyond getting hired
What are the requirements or prerequisites for taking your course?
  • No pre-requisites, although familiarity with basic business concepts is helpful
Who is the course for?
  • Anyone looking to get a job in Product Management
  • Anyone wanting to transition into Product Management
  • Already established Product Managers who want to advance their skillset
  • Entrepreneurs looking to master the product development process
Description

Course Content

  • 18 Sections
  • 164 Lectures
  • 18h 51m Total Length
Section 1
Before Starting the Course

Before Starting the Course

Time 36m
Lectures 5
Choose your own adventure - we'll tell you which lectures to watch *SAVE TIME!*
0:06:12
Join our community on Slack!
0:06:54
Review sheets, activities, & resources - all in one PDF!
0:09:13
Section 2
Introduction to Product Management

Introduction to Product Management

Time 1h 26m
Lectures 13
Section 3
Introduction to Product Development

Introduction to Product Development

Time 1h 42m
Lectures 15
Section 4
Ideas and User Needs

Ideas and User Needs

Time 51m
Lectures 8
Section 5
Competitive and Market Analysis

Competitive and Market Analysis

Time 1h 57m
Lectures 17
Section 6
Customer Development

Customer Development

Time 2h 10m
Lectures 17
Section 7
Designing and Running Experiments

Designing and Running Experiments

Time 2h 59m
Lectures 26
Section 8
Conceptualizing the Solution

Conceptualizing the Solution

Time 1h
Lectures 9
Section 9
Metrics for Product Managers - Defining Success and Measuring Results

Metrics for Product Managers - Defining Success and Measuring Results

Time 1h 13m
Lectures 10
Section 10
Building the Product - Project Management for PMs

Building the Product - Project Management for PMs

Time 58m
Lectures 9
Section 11
Working with People and Stakeholders

Working with People and Stakeholders

Time 45m
Lectures 6
Section 12
Technology for Product Managers

Technology for Product Managers

Time 37m
Lectures 7
Section 13
What You Should Do to Prepare Yourself for the Job

What You Should Do to Prepare Yourself for the Job

Time 37m
Lectures 5
Section 14
How to Look for a Job in Product Management

How to Look for a Job in Product Management

Time 19m
Lectures 4
Section 15
How to Get the Job in Product Management

How to Get the Job in Product Management

Time 41m
Lectures 6
Section 16
After You've Got the Job

After You've Got the Job

Time 16m
Lectures 2
Section 17
Extended Interviews with Current Product Managers

Extended Interviews with Current Product Managers

Time 31m
Lectures 4
Section 18
Bonus Section

Bonus Section

Time 06m
Lectures 1

About Tutor

Ariel Bednar
4.00 (1 Reviews)
Courses 1
Biography

With over 10 years of experience in data science and machine learning, I bring a wealth of industry knowledge and practical expertise to mentorship. My background spans diverse domains, including predictive analytics, NLP, deep learning, and data engineering. I’ve worked with cross-functional teams to develop end-to-end data solutions that drive business impact, optimize decision-making, and unlock new growth opportunities.

As a mentor, I focus on empowering learners to excel in:

✔️ Machine Learning Foundations: Guiding you through core algorithms, model evaluation, and optimization techniques to build a strong ML foundation.
✔️ Project Development and Deployment: Sharing best practices for end-to-end project workflows, from data preprocessing and feature engineering to model deployment and maintenance.
✔️ Career Development in Data Science: Providing guidance on career pathways, resume building, interview preparation, and networking strategies.
✔️ Advanced Specializations: Offering deep dives into specialized areas like NLP, computer vision, and time-series analysis.
✔️ Real-World Applications: Helping you apply theoretical knowledge to practical business problems, preparing you for real industry challenges.

Whether you’re looking to enter the data science field, deepen your expertise, or solve complex business problems, I’m here to provide the support and insights you need to succeed in a data-driven career.






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