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User Posts: Coletividad
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Netflix’s Fonz Morris on the five golden rules of product iteration
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Fine-tune your products at the earliest stages of the design lifecycle; not just at the end “Some folks might call it ‘iteration,’ but I choose to say ...

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A step-by-step guide to designing your review process
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Stripe's Head of Design, Katie Dill, on how to design your way to better data What’s in a name? The word “feedback” can be one of those nebulous terms that ...

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Asynchronous Design Critique: Getting Feedback
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“Any comment?” is probably one of the worst ways to ask for feedback. It’s vague and open ended, and it doesn’t provide any indication of what we’re looking ...

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Asynchronous Design Critique: Giving Feedback
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Feedback, in whichever form it takes, and whatever it may be called, is one of the most effective soft skills that we have at our disposal to collaboratively ...

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By Design: Interviews with leading design and product thinkers
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Exploring every stage of product design with experts from Loom, Webflow, Stripe, AMEX and more This post is part of an ongoing series featuring snippets ...

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Beware the Cut ‘n’ Paste Persona
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This Person Does Not Exist is a website that generates human faces with a machine learning algorithm. It takes real portraits and recombines them into fake ...

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Keeping Your Design Mind New and Fresh
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Photo by Balázs Kétyi on Unsplash “Only a fool knows everything.” African ProverbSince March 2020, most of us have been working from ...

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Garoa Hacker Clube
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O Garoa Hacker Clube é um hackerspace em São Paulo, Brasil, totalmente mantido por voluntários, localizado na Rua Costa Carvalho, 567, fundos. Inicialmente ...

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Beyond the UX Tipping Point
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Beyond the UX Tipping Point is about the moment when an organization no longer compromises on well-designed user experiences. ...

User Deals: Coletividad
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SQL for Data Science
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4 months ago

SQL for Data Science

Learn how to use and apply the powerful language of SQL to better communicate and extract data from databases - a must for anyone working in the data science field.
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Python for Data Science Project
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This mini-course is intended for you to demonstrate foundational Python skills for working with data.
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Python Basics for Data Science
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This Python course provides a beginner-friendly introduction to Python for Data Science. Practice through lab exercises, and you'll be ready to create your first Python scripts on your own!
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Data Visualization and Building Dashboards with Excel and Cognos
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Build the fundamental knowledge necessary to use Excel and IBM Cognos Analytics to create data visualizations and to create dashboards containing those visualizations to help tell a lucid story about data.
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Analyzing Data with Excel
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Build the fundamental knowledge required to use Excel spreadsheets to perform basic data analysis. The course covers the basic workings and key features of Excel to help students analyze their data.
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Data Analytics Basics for Everyone
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Learn the fundamentals of Data Analytics and gain an understanding of the data ecosystem, the process and lifecycle of data analytics, career opportunities, and the different learning paths you can take to be a Data Analyst.
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Big Data Analytics Using Spark
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Learn how to analyze large datasets using Jupyter notebooks, MapReduce and Spark as a platform.
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Machine Learning Fundamentals
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Understand machine learning's role in data-driven modeling, prediction, and decision-making.
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Probability and Statistics in Data Science using Python
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Using Python, learn statistical and probabilistic approaches to understand and gain insights from data.
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Python for Data Science
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Learn to use powerful, open-source, Python tools, including Pandas, Git and Matplotlib, to manipulate, analyze, and visualize complex datasets.
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Computing in Python IV: Objects & Algorithms
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Learn about recursion, search and sort algorithms, and object-oriented programming in Python.
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Computing in Python III: Data Structures
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Learn more complex ways of handling data, including files, lists, and dictionaries for building complex programs.
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