Digital Transformation: A Toolkit for Non-Programmers
1h 38mBeginner2022-08-08
Authors

Attul Sehgal
Digital Transformation Expert, Entrepreneur, Product Owner, Mentor
Course details
Digital transformation is never straightforward, and if you’re not a programmer, it can be quite a slog. But with new technology coming out every day now, your business can’t afford to fall behind. You need to take advantage of the latest digital technology available to bring your analytics and data up to speed. In this course, instructor Attul Sehgal walks you through some of the biggest challenges posed by digital transformation, with strategies to overcome them using powerful new tools. Learn more about transforming your business and adopting innovative technology, such as prototyping tools, data lakes, and data visualization models that allow you to measure as you grow. Along the way, Attul shows you how to get the most out of tools like Miro, Power BI, MarvelApps, and Lumen5. Don’t fall behind when you can jump ahead now and change your business before it’s too late.
Skills covered
Tech FoundationsBusiness StrategyBusiness Analysis and StrategyLeadership and ManagementSoftware DevelopmentOne-Off
Concepts
0. Introduction
- 01 - Digital toolsets to facilitate better business outcomes
1. What Is Digital Transformation (DX)
- 02 - Digital transformation and big data
- 03 - The history of digital transformation
- 04 - Waves of innovation
- 05 - Hyperinnovation driven by data
- 06 - What does a successful digital transformation look like
- 07 - Keep up with new data - Adapt your toolset
2. DX Prototyping Tools
- 08 - Brainstorming and whiteboarding with Miro
- 09 - Simulating prototypes using Marvel Apps
- 10 - Building video experiences using Lumen5
- 11 - Building dashboards with Power BI
- 12 - Visualizing data with Power BI
3. Data Lakes
- 13 - What are big data and the data lake
- 14 - Why you can't avoid big data and the data lake
- 15 - How is this data presented
- 16 - What's driving the data lake
4. Data Visualization
- 17 - What is data visualization
- 18 - Determining how to present data
- 19 - Stats and graphs to visualize the data
- 20 - Interrogating the data with data analysts and scientists
- 21 - Business intelligence, data management, and manipulation
- 22 - Create compelling business dashboards
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