Course Outline
Day 1
Data Analysis with pandas
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Using vectorized data in pandas
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Data wrangling
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Sorting and filtering data
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Aggregate operations
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Analyzing time series
Data visualisation
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Plotting diagrams with matplotlib
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Using matplotlib from within pandas
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Creating quality diagrams
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Visualizing data in Jupyter notebooks
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Other visualization libraries in Python
Day 2
Vectorizing Data in Numpy
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Creating Numpy arrays
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Common operations on matrices
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Using ufuncs
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Views and broadcasting on Numpy arrays
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Optimizing performance by avoiding loops
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Optimizing performance with cProfile
Other Python libraries for data analysis
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scikit-learn
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Scipy
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statsmodel
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RPy2
Requirements
Basic Python and data analysis skills
Testimonials
Trainer develops training based on participant's pace
Farris Chua
Data Analysis in Python using Pandas and Numpy Course
That we have used our own data as examples
Glycom A/S
Data Analysis in Python using Pandas and Numpy Course
customized, in-house file processing and data analysis