Using Data to Find Data: Correction & Categorization

Data Science    |    Intermediate
  • 12 Videos | 55m 17s
  • Includes Assessment
  • Earns a Badge
Likes 4 Likes 4
Data professionals working with various data management systems must be able to implement data correction by using R and have a good understanding of data and data management systems. In this 12-video course, learners explore how to apply and implement various essential data correction techniques; to follow transformation rules; and to use deductive correction techniques and predictive modeling by using critical data and analytical approaches. Learn more about data wrangling, essentially the process of transforming and mapping data into another format to ensure that data are appropriate for analytical requirements. Along the way, you will learn key terms and concepts, including how to design data dimension; dimensional data design; cleansing data, and cleansing data with Python; data operations for fact finding; and common data operations for fact-finding. Next, learn about data categorization with Python; data visualization in general; and data visualization with Python. In a concluding exercise, you create a series data set by using Python; create a data frame using the series data; and, finally, calculate the standard deviation of the data frame.

WHAT YOU WILL LEARN

  • describe approaches for facilitating data management with emphasis on data layout
    recognize the benefits of dimensional data design
    demonstrate the methods of cleansing data using Python libraries
    describe how to facilitate common operations of finding data facts using Python
    demonstrate data wrangling approaches using Python
    recognize how to facilitate variance measurement using Python
  • specify the importance of data categorization and describe data categorization types
    work with classification to facilitate data categorization using Python
    implement data categorization using the clustering
    use Python to facilitate data visualization and depict data graphs
    wrangle and categorize data using Python and clustering

IN THIS COURSE

  • Playable
    1. 
    Course Overview
    1m 21s
    UP NEXT
  • Playable
    2. 
    Data Management Solutions
    5m 18s
  • Locked
    3. 
    Dimensional Data Design
    4m 30s
  • Locked
    4. 
    Data Cleansing Using Python
    5m 36s
  • Locked
    5. 
    Common Data Operations
    5m 2s
  • Locked
    6. 
    Data Wrangling with Python
    4m 3s
  • Locked
    7. 
    Data Variance Measurement with Python
    4m
  • Locked
    8. 
    Data Categorization
    5m 39s
  • Locked
    9. 
    Data Categorization Using Classification
    4m 20s
  • Locked
    10. 
    Data Categorization Using Clustering
    3m 50s
  • Locked
    11. 
    Data Visualization Using Python
    3m 10s
  • Locked
    12. 
    Exercise: Wrangle and Categorize Data
    3m 29s

EARN A DIGITAL BADGE WHEN YOU COMPLETE THIS COURSE

Skillsoft is providing you the opportunity to earn a digital badge upon successful completion of this course, which can be shared on any social network or business platform

Digital badges are yours to keep, forever.

YOU MIGHT ALSO LIKE

Likes 13 Likes 13  
Likes 160 Likes 160  

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

COURSE SOLID & GRASP
Likes 3218 Likes 3218  
Likes 365 Likes 365