Advanced Python: Data Science, Testing, and Distribution

External: Coursera Courses ↗ · Coursera

Open Course on External: Coursera

Free to audit · Opens on External: Coursera

Advanced Python: Data Science, Testing, and Distribution

Coursera · Beginner ·📐 ML Fundamentals ·3mo ago

Key Takeaways

Covers advanced Python implementation for data science, testing, and distribution

Original Description

To round out your advanced implementation of Python, in this course, you'll clean and visualize data, and apply basic machine learning principles. You'll also handle exceptions and write and execute unit tests, as well as create and distribute Python packages. This is the third and final course in a multi-course Specialization. All of the courses in this Specialization require that you use the provided virtual machine, which includes an installation of Python. The course setup instructions provided in the first course go into more detail about the hardware and software requirements.
Watch on External: Coursera ↗ (saves to browser)
Sign in to unlock AI tutor explanation · ⚡30

Related Reads

📰
Why Data Structures Still Matter When You're Doing Machine Learning
Learn why data structures are crucial for machine learning performance and efficiency, beyond just interview prep
Dev.to · Ardhansu Das
📰
Stop Feeding FX Bots Price Data Only: Add a Macro Risk Gate in Python
Learn to add a macro risk gate to your FX bots in Python to avoid trading during high-risk events
Dev.to · Robert Tidball
📰
Human-in-the-Loop: Di Titik Mana Otomatisasi Harus Berhenti
Learn when to limit automation in machine learning systems to avoid risks, and why human-in-the-loop is crucial
Medium · Machine Learning
📰
Three Python Concepts That Completely Changed How I Think About Programming
Discover three Python concepts that transformed the author's programming approach and learn how to apply them to improve your own coding skills
Medium · AI
Up next
Dropout in Deep Learning
AnuTech-CH
Watch →