ANA5001X - Introduction to Python for Data Science
Course Description
Unlock the power of Python, one of the most versatile and widely used programming languages for data Science. This course provides a comprehensive introduction to Python's role in data science / analytics and its applications across various industries. You'll learn how to install and set up Python, Jupyter Notebooks, and essential libraries such as Pandas, NumPy, and Matplotlib. Through hands-on exercises, you'll develop foundational programming skills, write basic Python scripts, and explore core concepts essential for effective data science/ analysis. Whether you're new to coding or looking to enhance your data skills, this course will equip you with the tools to start your data analytics journey.
Key Benefits
- 100% Asynchronous
- No prior experience required
- Certificate of Completion
- Stackable for academic credit towards a degree
- No textbooks and other materials required
Learning Modules Include
- Unit 1 – Overview of Python’s Role in Data Science
- Unit 2 – Python Environment Setup and Installation
- Unit 3 – Introduction to Jupyter Notebooks
- Unit 4 – Basic Python Programming Concepts (concepts (variables, data types, loops, and functions).
Course Learning Outcomes
- Understand the role of Python in data analytics and is applications across various industries.
- Install and set up Python, Jupyter, Notebooks, and essential libraries (Pandas, NumPy, Matplotlib).
- Write basic Python scripts and understand core programing concepts relevant to data analysis.
Requirements to Enroll
No application is required to enroll. All learners are eligible to enroll in the course. There are no admission requirements. It is recommended that learners have a high school diploma or GED.
Estimated Time to Completion
The Introduction to Python for Data Science can be completed in 1 month working approximately 6 hours per week.
Access Time
Learners will have access to their course learning modules for up to 12 months from the date of enrollment.
Certificate of Completion
After successful completion of all 4 units in this course, learners will be awarded an official National University Workforce Continuing Education Professional and Continuing Education Certificate of Completion.
Refund Policy
We at National University want all of our students to have a positive and rewarding learning experience. In the event that a student is not completely satisfied with a course, we offer a refund policy to ensure satisfaction.
To be eligible for a refund, the student must submit a written request, including a valid reason, within 9 calendar days of registering for the course. Additionally, the student must not have attempted more than 25% of the course.
To request a refund, email PACE@nu.edu and include your full name, student ID, and course name. Your reason for requesting a refund will be carefully reviewed, and we reserve the right to refuse a refund if we determine the request to be invalid.
If you meet the eligibility criteria and are approved for a refund, we will issue a refund to your original method of payment within 60 days of the refund approval.
How to Access My Course
Allow up to 24 hours after enrollment for the course to appear in Brightspace. Follow the steps below:
- Log in to your student portal at westraining.nu.edu
- Click “Login”, then “Student Login”
- Log in using User Name (email address) and Password
- In your PACE student portal, click on “Brightspace LMS” on the left-hand navigation panel.
- Under My Courses, click the course title to get started.
Applies Towards the Following Certificates
- Python for Data Science : Python for Data Analytics