DA-100: Microsoft Power BI, Part 5 of 5: Visualize Effectively

Course description

Data Science is a growing field, this final course in the series discusses how to tell an effective story as well as using alternate data sources. Data Analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-to-comprehend data visualizations. The DA-100 Exam validates this expertise.

Each LearnNowOnline training course is made up of Modules (typically an hour in length). Within each module there are Topics (typically 15-30 minutes each) and Subtopics (typically 2-5 minutes each). There is a Post Exam for each Module that must be passed with a score of 70% or higher to successfully and fully complete the course.

Prerequisites

Experience with Microsoft Excel, pivot tables and power pivot modelling is helpful.

Meet the expert

Nikolai Schuler

Nikolai is a mathematician and works as a data scientist in a large German company. He is focused mainly on gaining insights from data and creating a positive impact with this knowledge.

Video Runtime

140 Minutes

Time to complete

250 Minutes

Course Outline

Storytelling and Cloud

Tell a Story (22:08)

• Introduction (00:08)
• Best Practices (01:01)
• Show Empathy & Identify the requirements (02:37)
• Finding the most suitable KPIs (02:18)
• Choose an effective visualization (03:39)
• Make use of natural reading pattern (02:58)
• Tell a story using visual cues (05:21)
• Avoid Chaos & Group information (02:17)
• Storytelling with data (01:41)
• Summary (00:08)

Next Steps (29:50)

• Introduction (00:08)
• Next Steps (03:13)
• Power BI Pro vs. Premium & Registration (03:54)
• Exploring the Workspaces (04:10)
• Discovering the workspaces (02:31)
• Connecting Power BI Desktop & Cloud (04:00)
• Understanding Datasets & Reports (03:24)
• Working with the reports (03:53)
• Updating the reports from Power BI Desktop (04:29)
• Summary (00:08)

Creating and working with Workspaces (27:00)

• Introduction (00:08)
• Creating and working with Workspaces (07:13)
• Installing & Using a Data Gateway (12:53)
• Get Quick Insights (02:33)
• Creating Dashboards (04:05)
• Summary (00:08)

More Data Sources

Sharing our results through Apps (26:50)

• Introduction (00:08)
• Sharing our results through Apps (10:09)
• Power BI Mobile App (05:26)
• Creating the layout for the Mobile App (03:46)
• Cloud Wrap up (07:13)
• Summary (00:08)

More Data Sources (34:14)

• Introduction (00:08)
• JSON & REST API (09:57)
• Setting up a local MySQL database (14:01)
• Connecting to a SQL database (04:59)
• Power BI & SQL database (PostgreSQL) (05:01)
• Summary (00:08)