Lynda - Data Analysis Fundamentals with Excel [Via Webcentara]
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Lynda - Data Analysis Fundamentals with Excel [Via Webcentara]
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Torrent File Content (57 files)
Lynda - Data Analysis Fundamentals with Excel
006 Analyzing data using variance and standard deviation.mp4 -
006 Analyzing data using variance and standard deviation.mp4 -
14.05 MB
033 Calculating Bayesian probabilities in Excel.mp4 -
13.03 MB
019 Using the normal distribution.mp4 -
12.83 MB
020 Using the exponential distribution.mp4 -
12.23 MB
021 Using a uniform distribution.mp4 -
11.86 MB
004 Calculating mean and median values.mp4 -
11.61 MB
014 Forecasting future results.mp4 -
10.82 MB
027 Visualizing what correlation means.mp4 -
10.24 MB
022 Using the binomial distribution.mp4 -
10.01 MB
015 Calculating running averages.mp4 -
9.98 MB
005 Measuring maximums, minimums, and other data characteristics.mp4 -
9.36 MB
023 Using the Poisson distribution.mp4 -
9.29 MB
010 Grouping data using histograms.mp4 -
9.25 MB
025 Calculating covariance between two columns of data.mp4 -
9.23 MB
029 Calculating correlation among multiple pairs of columns.mp4 -
9.17 MB
008 Analyzing a population using data samples.mp4 -
9.01 MB
012 Visualizing data using logarithmic scales.mp4 -
8.08 MB
026 Calculating covariance among multiple pairs of columns.mp4 -
7.98 MB
032 Creating a classification matrix.mp4 -
7.96 MB
031 Analyzing a sample problem - Kahneman`s Cabs.mp4 -
7.48 MB
034 Updating your Bayesian analysis.mp4 -
7.21 MB
024 Visualizing what covariance means.mp4 -
6.49 MB
016 Formulating a hypothesis.mp4 -
6.37 MB
013 Adding trendlines to charts.mp4 -
5.94 MB
001 Welcome.mp4 -
5.07 MB
028 Calculating correlation between two columns of data.mp4 -
4.49 MB
030 Introducing Bayesian analysis.mp4 -
4.32 MB
011 Identifying relationships using XY scatter charts.mp4 -
3.94 MB
018 Considering the limits of hypothesis testing.mp4 -
3.88 MB
009 Identifying and minimizing sources of error.mp4 -
3.67 MB
035 Further resources.mp4 -
3.52 MB
017 Interpreting the results of your analysis.mp4 -
3.02 MB
002 What you should know.mp4 -
2.31 MB
007 Introducing the central limit theorem.mp4 -
2.12 MB
003 Using the exercise files.mp4 -
1.64 MB
Exercise Files
Chapter04/Normal.xlsx -
Chapter04/Normal.xlsx -
16 KB
Chapter04/Binomial.xlsx -
14.62 KB
Chapter04/Exponential.xlsx -
13.53 KB
Chapter02/Trendline.xlsx -
13.45 KB
Chapter02/LogarithmicScale.xlsx -
13.02 KB
Chapter05/VisualizeCorrelation.xlsx -
9.82 KB
Chapter05/VisualizeCovariance.xlsx -
9.82 KB
Chapter02/Forecast.xlsx -
9.62 KB
Chapter06/Updating.xlsx -
9.29 KB
Chapter06/Calculating.xlsx -
8.84 KB
Chapter01/Variance.xlsx -
8.59 KB
Chapter02/RunningAverage.xlsx -
8.53 KB
Chapter01/MinMax.xlsx -
8.48 KB
Chapter02/Histogram.xlsx -
8.48 KB
Chapter02/XYScatter.xlsx -
8.42 KB
Description
Lynda - Data-Analysis Fundamentals with Excel with Curt Frye
Subject: IT
Software: Excel
2h 24m Beginner Mar 03, 2015 | Uploaded in Mar 15, 2015 Via Webcentara
Microsoft Excel is an important tool for information workers that design and perform data analysis. This course provides an overview of the fundamentals, from performing common calculations to conducting Bayesian analysis with Excel. Author Curt Frye starts with the foundational concepts, including an introduction to the central limit theorem, and then shows how to visualize data, relationships, and future results with Excel's histograms, graphs, and charts. He also covers testing hypotheses, modeling different data distributions, and calculating the covariance and correlation between data sets. The course closes with a look at calculating Bayesian probabilities in Excel.
Topics include:
• Calculating mean and median values
• Analyzing data using variance and standard deviation
• Minimizing errors
• Visualizing data with histograms, charts, and more
• Testing hypotheses
• Measuring covariance and correlation
• Performing Bayesian analysis
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