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DAT-565 Data Analysis and Business Analytics

(UOP-DATCB565v2.AS1) / ISBN : 979-8-90059-980-9
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Skills You’ll Get

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1

Statistics for Predictive and Qualitative Analysis

  • What Is Data Science?
  • Data Science in Practice
  • Data and Datasets
  • Using Technology for Data Science
  • Measures of Center
  • Measures of Variation
  • Measures of Position
  • Basic Concepts of Probability
  • Overview of Probability Distributions
  • Visualizing Data
  • Case Study: The Pitfall of Averages — How a Telecom Company Misjudged Customer Retention
2

Predictive and Qualitative Analysis in Decision Making

  • Overview of Data Collection Methods
  • Survey Design and Implementation
  • Data Cleaning and Preprocessing
  • Graph Deceptions and Common Errors in Data Visualization
3

Characterizing Uncertainty in Business Research

  • Probability Theory
  • Discrete and Continuous Probability Distributions
  • Statistical Inference and Confidence Intervals
  • Overview of Hypothesis Testing
  • Review of Excel for Data Science
4

Inferential Statistics in Business Research

  • Hypothesis Testing
  • Overview of Correlation and Linear Regression in Business Analysis
  • Analysis of Variance (ANOVA)
  • Case Study: Evaluating the Impact of a Marketing Campaign
5

Patterns, Modeling, and Information Visualization

  • Correlation and Linear Regression Analysis
  • Analysis of Variance (ANOVA) for Model Comparison
  • Multiple Regression
  • Encoding Univariate Data
  • Graphing Probability Distributions
  • Geospatial and Heatmap Data Visualization Using Excel
  • Multivariate and Network Data Visualization Using Excel
  • Case Study: Predicting Sales from Advertising, Location & Promotion
6

Time Series Modeling and Information Visualization

  • Introduction to Time Series Analysis
  • Components of Time Series Analysis
  • Time Series Forecasting Methods
  • Forecast Evaluation Methods
  • Encoding Data That Change Over Time
  • Handling Large Datasets
  • Business Analytics with Dashboards and Big Data

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