Review of Python Courses (Part 16)

In Part 15, I summarized my Datacamp courses 44-46. Today I will continue with the next three.

As a reminder, I introduced you to my recent work learning Python here.

My course #47 was Software Engineering for Data Scientists in Python. This is another relatively thick (for me) course with lots of object-oriented stuff:

• Python, data science, and software engineering
• Introduction to packages and documentation
• Conventions and PEP 8
• Writing your first package
• Adding functionality to packages
• Making your package portable
• Adding classes to a package
• Leveraging classes
• Classes and the DRY principle
• Multilevel inheritance
• Documentation
• Readability counts
• Unit testing
• Documentation and testing in practice (Sphinx, Travis CI, GitHub/GitLab, Codecov, Code Climate)

My course #48 was Analyzing Marketing Campaigns with pandas. This course covers:

• Introduction to pandas for marketing
• Data types and merging (.astype(), np.where(), .map(), pd.to_datetime() to avoid slower miscategorization as object)
• Initial exploratory analysis
• Introduction to common marketing metrics (count number criteria B from column sliced based on criterion A)
• Customer segmentation (alternate method to format as percentage)
• Plotting campaign results
• Building functions to automate analysis (plotting function)
• Identifying inconsistencies
• Resolving inconsistencies
• A/B testing for marketing
• Calculating lift and significance testing (from scipy.stats import ttest_ind)
• A/B testing and segmentation (function with statistical test)

My course #49 was Conda Essentials. This course covers:

• What are packages and why are they needed?
• What version of conda do I have?
• Install a conda package
• What is semantic versioning?
• Install a specific version of a package
• Update/remove/search for a conda package
• Find dependencies for a package version
• Channels and why they are needed (as means for a user to publish packages independently)
• Which environment am I using?
• Remove, create new, and exporting environments
• Compatibility with different versions
• Updating a script

I will review more classes next time.