•   Duration:
    1 Week
  •   Category:
    Computer Science and Engineering (Data Science)
  •   Level:
  •   Language:
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Course Details

Data wrangling is the process of cleaning and unifying messy and complex data sets for easy access and analysis. This course describes the importing of data from CSV and PDF files, data clean-up tasks such as elimination of bad data, duplicates and outliers, and data conditioning steps such as normalization and standardization. The course also discusses the data exploration for correlations and associations, and for providing statistical summaries of the given data. Several data visualizations such as plots, charts, maps, tables are also discussed. Finally, the principles of web scraping, web crawlers and spiders are presented. The knowledge and skills gained in this course are prerequisites for full-fledged data analysis

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