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IntermediateContent in Spanish

Data manipulation with pandas and NumPy

Make the leap from plain Python to the scientific ecosystem and learn to manipulate data like a professional. You will master NumPy for vectorized computation and pandas to load, clean, filter, transform and aggregate real datasets with Series and DataFrames. It is the second course of the Professional Certificate in Data Analysis and the essential foundation for any serious analysis.

10 lessons 10 hours 700 XP

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Syllabus

Module 1 · NumPy: vectorized computation

  1. 1NumPy arrays: creation and attributes55 min
  2. 2Vectorization and broadcasting55 min

Module 2 · pandas structures

  1. 3Series and DataFrames: the pandas structures55 min
  2. 4Loading data: read_csv and read_excel55 min

Module 3 · Selection, filtering and cleaning

  1. 5Selection and filtering: loc, iloc and boolean indexing55 min
  2. 6Data cleaning: null values, types and duplicates60 min
  3. 7Transforming columns: apply, map and functions50 min

Module 4 · Aggregation and combination

  1. 8Grouping and aggregating: groupby60 min
  2. 9Combining tables: merge, join and concat55 min
  3. 10Pivot tables and working with dates60 min

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