From the course: CompTIA Data+ (DA0-002) Cert Prep
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Statistics packages
From the course: CompTIA Data+ (DA0-002) Cert Prep
Statistics packages
- [Instructor] Of course, not everyone has the ability or desire to write their own software. It's often much simpler to work within software packages that provide the capabilities that we need. Statistics packages are a great example of this. These software packages go beyond the simple statistical analysis that are possible in spreadsheets and provide access to advanced statistical environments that are accessible through a graphical user interface and or a built-in scripting language. These software packages may be used by anyone interested in data analysis, but the reality is that they are mainly the domain of professional statisticians. Generally, data analysts with a computer science background tend to prefer using programming languages to write their own code. While those who do not have a strong background in statistics generally prefer some of the more visually oriented tools discussed in this course. One of the most popular pieces of statistical software is IBM's SPSS…
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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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