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DAT375 - Data Analysis Techniques

(SNHU-DAT375.AE1)
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Skills You’ll Get

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1

What Can We Do With Data?

  • Big Data and Data Science
  • Big Data Architectures
  • Small Data
  • What is Data?
  • A Short Taxonomy of Data Analytics
  • Examples of Data Use
  • A Project on Data Analytics
2

Descriptive Statistics

  • Scale Types
  • Descriptive Univariate Analysis
  • Descriptive Bivariate Analysis
  • Final Remarks
3

Descriptive Multivariate Analysis

  • Multivariate Frequencies
  • Multivariate Data Visualization
  • Multivariate Statistics
  • Infographics and Word Clouds
  • Final Remarks
4

Data Quality and Preprocessing

  • Data Quality
  • Converting to a Different Scale Type
  • Converting to a Different Scale
  • Data Transformation
  • Dimensionality Reduction
  • Final Remarks
5

Module 5

6

Module 6

7

Module 7

1

What Can We Do With Data?

  • Extracting Knowledge from Data Using the KDD Process
2

Descriptive Statistics

  • Module Two Discussion Lab
  • Creating a Scatter Plot
  • Creating an Area Chart
  • Creating a Line Chart
  • Creating a Bar Chart
  • Creating a Pie Chart
  • Creating a Basic Histogram
3

Descriptive Multivariate Analysis

  • Module Three Assignment
  • Creating a Box Plot
  • Creating a Heatmap
4

Data Quality and Preprocessing

  • Module Four Project One
  • Detecting Outliers
  • Normalizing Data
  • Transforming Data for Improved Data Summarization
5

Module 5

  • Module Five Discussion Lab
6

Module 6

  • Module Six Lab
7

Module 7

  • Module Seven Project Two

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