Data Mining

9.61:41:15

R Programming for Excel Users

Data Science Dojo May 3, 2017

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R programming is rapidly becoming a valuable skill for data professionals of all stripes and a must-have skill for aspiring data scientists. Adding R programming to your data analyst skillset allows you to leverage powerful data visualizations, statistical analyses, and …

Data_Science_Tutorial_R_Visualizations_in_Power_BI

9.301:29:24

Power BI for R Visualizations

Data Science Dojo April 5, 2017

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Microsoft’s Power BI is a powerful technology for quickly creating rich r visualizations. Power BI has many practical uses for the modern data professional including executive dashboards, operational dashboards, and visualizations for data exploration/analysis.

Microsoft has also extended Power BI …

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Event Log Mining with R

Data Science Dojo January 9, 2017

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Event logs are everywhere and represent a prime source of Big Data. Event log sources run the gamut from e-commerce web servers to devices participating in globally distributed Internet of Things (IoT) architectures. Even Enterprise Resource Planning (ERP) systems produce …

01:54

Scatter Plots & Contour Plots – Data Mining Fundamentals Part 24

Data Science Dojo January 7, 2017

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In the final video in our Data Mining Fundamentals series, we conclude our discussion of different visualization techniques for data exploration with scatter plots and contour plots. We will define each plot, and share examples of when you can use …

02:59

Histograms & Box Plots – Data Mining Fundamentals Part 23

Data Science Dojo January 6, 2017

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Histograms and box plots are the most popular visualization techniques. In this tutorial, we discuss the unique benefits of both, and provide examples of when you can use each for your data exploration and visualization.

Part 24:
Scatter Plots …

02:59

Center and Spread Measurement – Data Mining Fundamentals Part 22

Data Science Dojo January 6, 2017

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Center and Spread measurement is the next topic in our discussion on data exploration and visualization. We discuss measuring of center such as the median and mean, and look at measures of spread such as range and variance.

Part 23…

02:55

Data Visualization & Exploration – Data Mining Fundamentals Part 21

Data Science Dojo January 6, 2017

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Data exploration is visualization and calculation to better understand characteristics of data. We will tell you the key motivations of data exploration as well as the techniques used in data exploration.

Part 22:
Center and Spread Measurement

Part 20…

03:06

Summary Statistics – Data Mining Fundamentals Part 20

Data Science Dojo January 6, 2017

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Summary statistics are numbers that summarize properties of data, and the frequency of an attribute value is a percentage measuring how often the value occurs in the data set. We will also describe percentiles, and provide examples of each.

Part …

02:38

Evaluating Correlation – Data Mining Fundamentals Part 19

Data Science Dojo January 6, 2017

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Correlation and visually evaluating is the next step in our discussion on similarity and dissimilarity. Correlation measures the linear relationship between objects, and to visually evaluate correlation, you will need to build a scatter plot.

Part 20:
Evaluating Correlation…

Euclidian Distance and Cosine Similarity

04:29

Euclidean Distance & Cosine Similarity – Data Mining Fundamentals Part 18

Data Science Dojo January 6, 2017

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Euclidean distance and cosine similarity are the next aspect of similarity and dissimilarity we will discuss. We will show you how to calculate the euclidean distance and construct a distance matrix.
This series is part of our pre-bootcamp course work …

Data Mining

R Programming for Excel Users

Power BI for R Visualizations

Event Log Mining with R

Scatter Plots & Contour Plots – Data Mining Fundamentals Part 24

Histograms & Box Plots – Data Mining Fundamentals Part 23

Center and Spread Measurement – Data Mining Fundamentals Part 22

Data Visualization & Exploration – Data Mining Fundamentals Part 21

Summary Statistics – Data Mining Fundamentals Part 20

Evaluating Correlation – Data Mining Fundamentals Part 19

Euclidean Distance & Cosine Similarity – Data Mining Fundamentals Part 18

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