Lynda - Data-Analysis Fundamentals with Excel with Curt Frye [StarDiwa]


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Torrent File Content (37 files)


Lynda - Data-Analysis Fundamentals with Excel with Curt Frye [StarDiwa]
    02. Foundational Concepts of Data Analysis
          03 Analyzing Data Using Variance And Standard Deviation.mp4 -
9.37 MB

    07. Performing Bayesian Analysis
          04 Calculating Bayesian Probabilities In Excel.mp4 -
8.72 MB

    05. Utilizing Data Distributions
          01 Using The Normal Distribution.mp4 -
8.53 MB

          02 Using The Exponential Distribution.mp4 -
8.38 MB

          03 Using A Uniform Distribution.mp4 -
7.9 MB

    02. Foundational Concepts of Data Analysis
          01 Calculating Mean And Median Values.mp4 -
7.68 MB

    03. Visualizing Data
          05 Forecasting Future Results.mp4 -
7.4 MB

    06. Measuring Covariance and Correlation
          04 Visualizing What Correlation Means.mp4 -
6.72 MB

    05. Utilizing Data Distributions
          04 Using The Binomial Distribution.mp4 -
6.68 MB

    03. Visualizing Data
          06 Calculating Running Averages.mp4 -
6.63 MB

    02. Foundational Concepts of Data Analysis
          02 Measuring Maximums, Minimums, And Other Data Characteristics.mp4 -
6.34 MB

    03. Visualizing Data
          01 Grouping Data Using Histograms.mp4 -
6.31 MB

    05. Utilizing Data Distributions
          05 Using The Poisson Distribution.mp4 -
6.17 MB

    06. Measuring Covariance and Correlation
          02 Calculating Covariance Between Two Columns Of Data.mp4 -
6.14 MB

          06 Calculating Correlation Among Multiple Pairs Of Columns.mp4 -
6.13 MB

    02. Foundational Concepts of Data Analysis
          05 Analyzing A Population Using Data Samples.mp4 -
5.79 MB

    06. Measuring Covariance and Correlation
          03 Calculating Covariance Among Multiple Pairs Of Columns.mp4 -
5.4 MB

    01. Introduction
          01 Welcome.mp4 -
5.36 MB

    03. Visualizing Data
          03 Visualizing Data Using Logarithmic Scales.mp4 -
5.31 MB

    07. Performing Bayesian Analysis
          03 Creating A Classification Matrix.mp4 -
5.21 MB

          02 Analyzing A Sample Problem - Kahneman's Cabs.mp4 -
4.94 MB

          05 Updating Your Bayesian Analysis.mp4 -
4.81 MB

    06. Measuring Covariance and Correlation
          01 Visualizing What Covariance Means.mp4 -
4.25 MB

    04. Testing a Hypothesis
          01 Formulating A Hypothesis.mp4 -
4.06 MB

    03. Visualizing Data
          04 Adding Trendlines To Charts.mp4 -
3.96 MB

    06. Measuring Covariance and Correlation
          05 Calculating Correlation Between Two Columns Of Data.mp4 -
3.09 MB

    07. Performing Bayesian Analysis
          01 Introducing Bayesian Analysis.mp4 -
2.88 MB

    03. Visualizing Data
          02 Identifying Relationships Using XY Scatter Charts.mp4 -
2.7 MB

    04. Testing a Hypothesis
          03 Considering The Limits Of Hypothesis Testing.mp4 -
2.45 MB

    08. Conclusion
          01 Further Resources.mp4 -
2.42 MB

    02. Foundational Concepts of Data Analysis
          06 Identifying And Minimizing Sources Of Error.mp4 -
2.33 MB

    04. Testing a Hypothesis
          02 Interpreting The Results Of Your Analysis.mp4 -
1.97 MB

    02. Foundational Concepts of Data Analysis
          04 Introducing The Central Limit Theorem.mp4 -
1.55 MB

    01. Introduction
          02 What You Should Know.mp4 -
1.47 MB

          03 Using The Exercise Files.mp4 -
958.82 KB

     Exercise Files.zip -
165.04 KB

     About.txt -
1.45 KB



Description



 							Lynda - Data-Analysis Fundamentals with Excel with Curt
Frye

image image

Author: Curt Frye

Description:

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

Duration: 2h 24m

Level: Beginner

Date: Mar 03, 2015


Subject: IT

Software: Excel

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