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Best selling Microsoft Excel 2019 Data Analysis and Business Modeling notes
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Class notes
Lecture #4 - Descriptive Statistics Part #1
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--5December 20242024/2025Available in bundle
- 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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Popular
$8.59 More Info
alexperez
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Class notes
Lecture #3 - Data Analysis
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--3December 20242024/2025Available in bundle
- 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.
-
Popular
$4.09 More Info
alexperez
-
Class notes
Lecture #5 - Descriptive Statistics Part #2
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--5December 20242024/2025Available in bundle
- 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.
-
Popular
$8.09 More Info
alexperez
-
Class notes
Lecture #8 - Linear Programming
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--4December 20242024/2025Available in bundle
- 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.
-
Popular
$8.89 More Info
alexperez
-
Class notes
Lecture #1 - Introduction to Data Analysis
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--2December 20242024/2025Available in bundle
- 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.
-
Popular
$3.49 More Info
alexperez
-
Class notes
Lecture #7 - The Normal Distribution
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--3December 20242024/2025Available in bundle
- 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.
-
Popular
$6.09 More Info
alexperez
Newest Microsoft Excel 2019 Data Analysis and Business Modeling summaries
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Package deal
Analytics I: Data Management and Analysis
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---8December 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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New
$36.09 More Info
alexperez
-
Class notes
Lecture #5 - Descriptive Statistics Part #2
-
--5December 20242024/2025Available in bundle
- 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.
-
New
$8.09 More Info
alexperez
-
Class notes
Lecture #4 - Descriptive Statistics Part #1
-
--5December 20242024/2025Available in bundle
- 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.
-
New
$8.59 More Info
alexperez
-
Class notes
Lecture #8 - Linear Programming
-
--4December 20242024/2025Available in bundle
- 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.
-
New
$8.89 More Info
alexperez
-
Class notes
Lecture #7 - The Normal Distribution
-
--3December 20242024/2025Available in bundle
- 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.
-
New
$6.09 More Info
alexperez
-
Class notes
Lecture #3 - Data Analysis
-
--3December 20242024/2025Available in bundle
- 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.
-
New
$4.09 More Info
alexperez
-
Class notes
Lecture #1 - Introduction to Data Analysis
-
--2December 20242024/2025Available in bundle
- 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.
-
New
$3.49 More Info
alexperez