Data Research Exploration Techniques
Data Research
11 Videos | 53m 45s - Includes Assessment
- Earns a Badge
This course explores EDA (exploratory data analysis) and data research techniques necessary to communicate with data management professionals involved in application, implementation, and facilitation of the data research mechanism. You will examine EDA as an important way to analyze extracted data by applying various visual and quantitative methods. In this 10-video course, learners acquire data exploration techniques to derive different data dimensions to derive value from the data. You will learn proper methodologies and principles for various data exploration techniques, analysis, decision-making, and visualizations to gain valuable insights from the data. This course covers how to practically implement data exploration by using R random number generator, Python, linear algebra, and plots. You will use EDA to build learning sets which can be utilized by various machine learning algorithms or even statistical modeling. You will learn to apply univariate visualization, and to use multivariate visualizations to identify the relationship among the variables. Finally, the course explores dimensionality reduction to apply different dimension reduction algorithms to deduce the data in a state which is useful for analytics.
WHAT YOU WILL LEARN
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specify the essential features and benefits provided by implementing exploratory data analysis
recognize the prominent approaches that can be adopted to implement data exploration
install and prepare R for data exploration
demonstrate how to implement data exploration using R
implement data exploration using plots in R -
specify the essential packages provided by Python that can be used to explore data
implement data exploration using Python's data exploration packages
describe the approach of implementing data research using linear algebra
work with vectors and metrics using Python and R
explore data using R, explore data with Python packages, and work with vectors using Python
IN THIS COURSE
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1.Course Overview1m 46sUP NEXT
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2.Fundamentals of Exploratory Data Analysis4m 11s
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3.Data Exploration Types5m 13s
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4.Working with R8m 44s
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5.Data Exploration in R4m 21s
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6.Data Exploration Using Plots3m 14s
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7.Python Packages for Data Exploration4m 31s
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8.Data Exploration Using Python3m 53s
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9.Data Research Using Linear Algebra3m
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10.Linear Algebra for Data Research6m 36s
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11.Exercise: R and Python for Data Exploration3m 49s
EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE
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