From the course: CompTIA Data+ (DA0-002) Cert Prep
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Robotic process automation
From the course: CompTIA Data+ (DA0-002) Cert Prep
Robotic process automation
- Robotic process automation, or RPA, is a technology that uses software robots, or bots, to automate repetitive rule-based tasks that were traditionally performed by humans. These bots are programmed to follow a predefined set of instructions, interacting with digital systems just like a person would, but with greater speed and accuracy. RPA excels at tasks like data entry, form processing, and system integration, making it an indispensable tool for improving efficiency and reducing human error in business operations. RPA can assist data analysts by automating time consuming processes, enabling us to focus on more strategic and value added work. For example, RPA can streamline data collection from multiple sources, consolidate the information into a central database, and prepare it for analysis. This is particularly useful in organizations that rely on many legacy systems or deal with large volumes of data spread across different platforms. RPA can automate these tedious tasks and…
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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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