•   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. In this laboratory course the experiments are designed for 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 laboratory also has some experiments for data exploration, and for providing statistical summaries of the given dataset. Experiments on data visualizations: plots, charts, maps, histograms, correlation plots, etc and an experiment on the design of web scraper are also included. The laboratory course also provides some critical thinking experiments to enhance the learning. The design skills gained in this laboratory course are quite useful for full-fledged real-world data analysis needed for an entry-level data science engineer

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