Data Research Exploration Techniques

Data Research    |    Intermediate
  • 11 Videos | 53m 45s
  • Includes Assessment
  • Earns a Badge
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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

  • 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

  • Playable
    1. 
    Course Overview
    1m 46s
    UP NEXT
  • Playable
    2. 
    Fundamentals of Exploratory Data Analysis
    4m 11s
  • Locked
    3. 
    Data Exploration Types
    5m 13s
  • Locked
    4. 
    Working with R
    8m 44s
  • Locked
    5. 
    Data Exploration in R
    4m 21s
  • Locked
    6. 
    Data Exploration Using Plots
    3m 14s
  • Locked
    7. 
    Python Packages for Data Exploration
    4m 31s
  • Locked
    8. 
    Data Exploration Using Python
    3m 53s
  • Locked
    9. 
    Data Research Using Linear Algebra
    3m
  • Locked
    10. 
    Linear Algebra for Data Research
    6m 36s
  • Locked
    11. 
    Exercise: R and Python for Data Exploration
    3m 49s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

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