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, st...
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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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Add to cartDistinguish 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.
Explain the "V's" of big data. Discuss the role of data strategy in an organization. Describe the principle components of effective data strategy. Identify common gaps in data strategy.
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Add to cartExplain the "V's" of big data. Discuss the role of data strategy in an organization. Describe the principle components of effective data strategy. Identify common gaps in data strategy.
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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Add to cartExplain 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.
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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Add to cartExplain 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.
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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Add to cartConstruct 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.
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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Add to cartExplain 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.
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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Add to cartExplain 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.
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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Add to cartIdentify 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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