From the course: CompTIA Data+ (DA0-002) Cert Prep
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Communicating to your audience
From the course: CompTIA Data+ (DA0-002) Cert Prep
Communicating to your audience
- One of the most important and often most overlooked skills and data analysis is the ability to communicate effectively. You can conduct the most sophisticated analysis in the world, but if you can't explain it clearly to the people who need to make decisions based on that analysis, your work loses much of its value. Communicating to your audience isn't about just presenting data. It's about delivering insights in a way that your audience can understand and act upon. Every communication effort starts with understanding your audience. Whether you're creating a report, a dashboard, or a presentation, you need to have a clear picture of who will be consuming your work. In data analytics, we often build what's known as user persona types to help with this, these personas represent typical members of your audience, and they guide you in shaping the content and style of your message. Let's walk through some common personas. Individual contributors often need specific actionable data to…
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Contents
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Structured query language3m 41s
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SELECT statement2m 27s
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Sorting results4m 3s
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Filtering data4m 1s
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NULL values3m 26s
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Aggregating data3m 8s
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Grouping data3m 7s
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String manipulation2m 43s
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Working with dates2m 14s
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Derived values3m 16s
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Set operations5m 37s
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Join operations1m 58s
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Inner joins7m 7s
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Joining multiple tables6m 34s
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Outer joins2m 55s
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Nested queries2m 17s
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Line chart1m 32s
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Scatterplots and bubble charts1m 48s
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Pie charts1m 24s
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Bar charts and histograms2m 33s
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Waterfall charts1m 22s
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Heat maps and geographic maps1m 54s
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Tree maps1m 25s
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Word clouds and infographics1m 18s
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Pivot tables4m 54s
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Today's regulatory landscape3m 35s
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Health insurance portability and accountability act (HIPAA)4m 45s
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Family educational rights and privacy act (FERPA)5m 25s
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Gramm leach bliley act (GLBA)4m 10s
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Data breach notification laws3m 19s
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International data transfers3m 22s
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Goals of information security2m 9s
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Preserving data confidentiality2m 18s
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Building an access management program3m 12s
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Authentication, authorization, and accounting2m 58s
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Managing the data lifecycle4m 43s
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Data classification2m 41s
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Control and risk frameworks8m 54s
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Audits and assessments5m 52s
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