ANA5001X - Introduction to Python for Data Science
Course Description
[Technology]
Introduction to Python for Data Science
Use Python for real data work — clean datasets, run analyses, build charts that explain.
🎯 What You'll Be Able To Do
- Set up Python, Jupyter, and core data libraries.
- Load, clean, and reshape datasets with Pandas.
- Run exploratory analysis to surface patterns and outliers.
- Build clear charts with Matplotlib and Seaborn.
- Apply intermediate to advanced analytics techniques to real datasets.
✓ Why This Course Is Worth Your Time
- 100% Online, Self-paced — learn around your job and family
- 12-month access from the day you enroll
- Entry-level skills — no prior experience required
- No application, no prerequisites, no textbooks to buy
📚 Course Sequence
This course contains the following sequence of learning units/modules:
- Unit/Module 1: Overview of Python’s Role in Data Science
- Unit/Module 2: Python Environment Setup and Installation
- Unit/Module 3: Introduction to Jupyter Notebooks
- Unit/Module 4: Basic Python Programming Concepts (variables, data types, loops, and functions)
⏱ How Long It Takes
- Total course hours: 22 Hrs
🏆 What You'll Earn
- Certificate of Completion after finishing all course requirements.
- 0 CEUs — PACE Continuing Education Units
📋 Requirements To Enroll
No application needed. All learners are eligible. There are no admission requirements. We recommend learners have a high school diploma or GED and basic computer and internet skills.
📅 Access Timing
Learners will:
- Get access to this course approximately 1 hour from the date of enrollment.
- Have access to this course for up to 12 months from the date of enrollment.
💵 Refund Policy
We want all of our students to have a positive and rewarding learning experience. If a student is not completely satisfied, we offer a refund policy.
To be eligible, submit a written request with a valid reason within 9 calendar days of registering. The student must not have attempted more than 25% of the course.
Email PACE@nu.edu with your full name, student ID, and course name. Approved refunds are issued within 60 days.
Applies Towards the Following Certificates
- Python for Data Science : Python for Data Analytics