Description
In this course, you will learn:-
- What is the best way to frame a data analysis project?
- Simple descriptive statistics have the ability to guide decision-making.
- In the public sector, here are some examples of how data is being used efficiently.
- Excel methods for downloading, evaluating, cleaning, and analysing data.
- How biases can affect you and how you can unwittingly add them into your analysis.
Syllabus:-
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Introduction to Data Analysis - Part 1
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Introduction to Data Analysis - Part 2
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Introduction to Data Analysis
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Identifying the Problem - Part 1
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Identifying the Problem - Part 2
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Identifying the Problem
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Exploring the Problem
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Exploring the Problem
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Refining the Problem - Part 1
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Refining the Problem - Part 2
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Refining the Problem
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Finding the Data - Part 1
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Finding the Data - Part 2
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Finding the Data
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Bias, Opinions, and Assumptions
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Bias, Opinions, and Assumptions
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Downloading and Manipulating Data
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Downloading and Manipulating Data
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Descriptive Statistics - Part 1
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Walkthrough: Descriptive Statistics
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Descriptive Statistics - Part 2
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Walkthrough: Distribution
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Descriptive Statistics - Part 3
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Walkthrough: Central Tendencies
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Descriptive Statistics - Part 4
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Walkthrough: Standard Deviation
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Descriptive Statistics - Part 5
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Descriptive Statistics