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Analytics I: Data Management and Analysis

  • Analytics I: Data Management and Analysis

  • Package deal • 8 items • 2024
  • Amount of data businesses are able to maintain & process is growing exponentially,& the ability to manage that data successfully can give a business a tremendous competitive advantage; business data landscape, basic data management and analysis skills; data collection, data cleansing and mining, statistical and graphical analysis, basic modeling
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  • $35.59
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The Fourth Industrial Revolution & Starting a Business

  • The Fourth Industrial Revolution & Starting a Business

  • Package deal • 23 items • 2024
  • Business's role to customers & stakeholders; marketing, finance & accounting, & product/service innovation & creativity are introduced. Key 4th industrial revolution technologies such as AI, Internet of Things (IoT), distributed ledger technology & cryptocurrency,augmented/mixed/virtual reality,additive manufacturing,& autonomous,robotics,& drones
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  • $174.37
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Economics: A Critical Introduction

  • Economics: A Critical Introduction

  • Package deal • 15 items • 2024
  • Basic economic concepts; theories; potential impact of policy recommendations on different individuals & social groups; relation of the economy to public and private life; inequality and discrimination; globalization; capitalism generates generates crises of inequality & discrimination, & environmental sustainability; agents and institutions
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  • $98.49
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Lecture #8 - Linear Programming Lecture #8 - Linear Programming

  • Lecture #8 - Linear Programming

  • Class notes • 4 pages • 2024
  • Available in package deal
    • Identify the objective, decision cells, and constraints in an optimization problem. Set up an optimization problem in Excel. Set up Solver to solve an optimization problem in Excel.
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Lecture #7 - The Normal Distribution Lecture #7 - The Normal Distribution

  • Lecture #7 - The Normal Distribution

  • Class notes • 3 pages • 2024
  • Available in package deal
    • Explain the central limit theorem. Apply the empirical rule to a normal data set. Apply Chebychev's theorem to a non-normal data set. Calculate z-scores for values in a data set. Identify outliers in a data set using z-scores.
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Lecture #6 - Measures of Dispersion

  • Lecture #6 - Measures of Dispersion

  • Class notes • 3 pages • 2024
  • Available in package deal
    • Explain how measures of dispersion describe variability in a data set. Identify skewness and kurtosis in a data set. Calculate the variance and standard deviation of a data set.
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Lecture #5 - Descriptive Statistics Part #2 Lecture #5 - Descriptive Statistics Part #2

  • Lecture #5 - Descriptive Statistics Part #2

  • Class notes • 5 pages • 2024
  • Available in package deal
    • Construct a box plot to visualize the 5-number of summary of a data set. Match a frequency distribution to a corresponding box plot. Calculate the upper and lower fences for outliers using the interquartile range. Identify outliers using the interquartile range method.
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Lecture #4 - Descriptive Statistics Part #1 Lecture #4 - Descriptive Statistics Part #1

  • Lecture #4 - Descriptive Statistics Part #1

  • Class notes • 5 pages • 2024
  • Available in package deal
    • Explain the measures of central tendency. Calculate the mean, median, and mode of a data set. Calculate the range, quartiles, and interquartile range of a data set. Construct a 5-number summary of a data set.
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Lecture #3 - Data Analysis Lecture #3 - Data Analysis

  • Lecture #3 - Data Analysis

  • Class notes • 3 pages • 2024
  • Available in package deal
    • Explain the difference between descriptive and inferential statistics. Identify the types of data and levels of measurement. Calculate relative and cumulative frequencies frequencies. Use pivot tables to explore a new data set.
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Lecture #1 - Introduction to Data Analysis Lecture #1 - Introduction to Data Analysis

  • Lecture #1 - Introduction to Data Analysis

  • Class notes • 2 pages • 2024
  • Available in package deal
    • Distinguish between quantitative and qualitative data. Understand the distinction between different types of statistics and analytics. Explain how data analysis is used to inform business decision-making. Identify the primary steps in the data analysis lifecyle.
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  • $2.99
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