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The 6-Step Dashboard System - nieriorefasow63 - 07-06-2023
![[Image: Ig-Wjn85wp-QORSw-CAqgx-HSc5-Cc-Ii5-WQIn.jpg]](https://i.postimg.cc/NfM5tDvK/Ig-Wjn85wp-QORSw-CAqgx-HSc5-Cc-Ii5-WQIn.jpg)
The 6-Step Dashboard System
Published 7/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 263.80 MB | Duration: 1h 6m
How To Build Dashboards That Matter
What you'll learn
Understand the core principles of data visualization and how to apply them to dashboard design.
Master the 6-step system to create efficient and insightful dashboards.
Learn to use analytics tools effectively to gather and interpret data.
Complete a case study to apply the learned concepts in a practical, real-world scenario.
Requirements
Understanding of basic data analysis and data engineering concepts is required.
Access to a computer and a stable internet connection.
A willingness to learn and explore new concepts in data visualization.
Description
The 6-Step Dashboard System is a comprehensive and advanced course specifically designed for professionals and students with a foundational understanding of data analysis and data engineering. This in-depth course aims to augment these existing skills by focusing on the crucial art of analytics and data visualization, particularly in creating effective and insightful dashboards.Across the various modules of this course, learners will discover how to utilize a unique 6-step system that transforms raw data into meaningful and impactful visual narratives. This systematic approach not only enhances your understanding of dashboard design but also instills a refined data-driven decision-making process.Through a blend of theory and practical exercises, students will gain hands-on experience interpreting data and applying essential design principles. The course offers interactive tasks where you will put these newly acquired skills to the test, crafting your dashboards that effectively communicate data stories.Whether you're a data analyst striving to better your reporting techniques, a business analyst aspiring to employ data visualization for more insightful decisions, or a student aiming to upskill in the data field, "The 6-Step Dashboard System" is your roadmap to mastery. This course not only enriches your technical proficiency but also fosters a data-centric mindset that is invaluable in today's data-driven world. Your quest towards excelling in data visualization starts here.
Overview
Section 1: Module 01: Welcome to The 6-Step Dashboard System
Lecture 1 101: Introduction
Lecture 2 102: What is The 6-Step Dashboard System?
Lecture 3 103: Mythbusting
Lecture 4 104: Why Use the 6-Step Dashboard System?
Section 2: Module 02: Step 1 - The Stakeholder Interview
Lecture 5 201: What is the Interview
Lecture 6 202: How to Prepare for the Interview?
Lecture 7 203: Activity - Data Interview Brainstorm
Lecture 8 204: Activity - Mock Interview
Lecture 9 205: Schedule and Final Preparation
Section 3: Module 03: Step 2 - Explore & Prototype
Lecture 10 301: Let's Discuss Exploring The Data
Lecture 11 302: Getting Started with Low-Fidelity Prototyping
Lecture 12 303: Activity - Prototyping Preparation
Lecture 13 304: Design Principles
Lecture 14 305: Activity - Solving the Puzzle
Lecture 15 306: Wrapping up the Prototype
Section 4: Section 04: Step 3 - Stakeholder Presentation
Lecture 16 401: Show and Tell
Lecture 17 402: Iterate
Section 5: Module 05: Step 4 - Data Engineering
Lecture 18 501: ETL
Lecture 19 502: The Data Model
Section 6: Module 06: Step 5 - Data Visualization
Lecture 20 601: Data Viz
Section 7: Module 07: Step 6 - Testing, Refining, and Delivery
Lecture 21 701: Testing
Lecture 22 702: Refining
Lecture 23 703: Delivery
This course is ideal for professionals with a basic understanding of data analysis and data engineering, who want to further their skills in data visualization and dashboard creation. This could include roles like data analysts, business analysts, data scientists, or any professionals who regularly interact with data in their role and want to enhance their ability to present this data in a clear and impactful way. The course is also well-suited for students in related fields who want to bolster their practical understanding of these concepts.
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