Data Integration

Data Science    |    Beginner
  • 10 Videos | 37m 32s
  • Includes Assessment
  • Earns a Badge
Likes 42 Likes 42
Data integration is the last step in the data wrangling process where data is put into its useable and structured format for analysis. Explore examples of practical tools and techniques for data integration.

WHAT YOU WILL LEARN

  • use csvjoin to concatenate CSV data
    use the cat function to concatenate separate logs into a single file
    sort lines in a text file
    merge separate xml files into a single schema
    aggregate data from a CSV file into a table of summarized values
  • normalize data from unstructured sources
    denormalize data from a structured source
    use pivot tables to cross tabulate data
    insert missing values in a data set
    use csvjoin to merge two compatible CSV documents into one

IN THIS COURSE

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

BOOK Applied Modeling Techniques and Data Analysis 1: Computational Data Analysis Methods and Tools
CHANNEL Python for Data Science
Likes 405 Likes 405  
COURSE Final Exam: Data Wrangler

PEOPLE WHO VIEWED THIS ALSO VIEWED THESE

COURSE SOLID & GRASP
Likes 3218 Likes 3218  
COURSE Estimates & Measures
Likes 32 Likes 32  
COURSE Data Filtering
Likes 53 Likes 53