What are the important skills to have in Python with regard to data analysis

Question

I am an experienced professional in python, I want to begin my career in data science and data analytics, could you please list important skills I should have to kickstart my career in this domain.

Answer 1

The following are some of the important skills to possess which will come handy when performing data analysis using Python.

• Good understanding of the built-in data types especially lists, dictionaries, tuples and sets.
• Mastery of N-dimensional NumPy arrays.
• Mastery of pandas dataframes.
• Ability to perform element-wise vector and matrix operations on NumPy arrays. This requires the biggest shift in mindset for someone coming from a traditional software development background who’s used to for loops.
• Knowing that you should use the Anaconda distribution and the conda package manager.
• Familiarity with scikit-learn.
• Ability to write efficient list comprehensions instead of traditional for loops.
• Ability to write small, clean functions (important for any developer), preferably pure functions that don’t alter objects.
• Knowing how to profile the performance of a Python script and how to optimize bottlenecks.

The following will help to tackle any problem in data analytics and machine learning.

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