From the course: CompTIA Data+ (DA0-002) Cert Prep
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Statistical methods
From the course: CompTIA Data+ (DA0-002) Cert Prep
Statistical methods
- Let's talk about statistics. Now, I know this is a topic that can feel intimidating, but don't worry, we're going to walk through everything that you need to know for the Data plus exam in clear, simple terms. My goal is to make these concepts not only understandable, but also useful so that you can apply them confidently in your work. Let's start at the beginning. What is statistics anyway? Well, it's the practice of applying mathematical techniques to data so that we can analyze it, interpret it and present it in ways that help others make decisions. When we use statistics in a business or data analysis context, we're typically working with one or more of four main types, descriptive, inferential, predictive and prescriptive statistics. Descriptive statistics are where most people start. These methods help you summarize and describe the main features of a dataset. Think of measures like averages, medians, standard deviations and simple charts. They don't make predictions or test…
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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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