ANA5002X - Data Manipulation with Pandas
Course Description
Develop essential skills for manipulating and analyzing data using the powerful Pandas library. This course will guide you through loading, cleaning, and transforming datasets to prepare them for analysis. You'll learn how to perform key data operations, including filtering, sorting, and grouping, to extract insights efficiently. Additionally, you will explore how to merge and join datasets, making it easier to handle complex data structures and ready them for deeper exploration. By the end of this course, you'll have the foundational knowledge to work confidently with data in Pandas, a crucial tool for any data professional.
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 – Introduction to Pandas and DataFrames
- Unit 2 – Data Loading and Exploration
- Unit 3 – Data Cleaning (handling missing data, duplicates, etc.)
- Unit 4 – Data Manipulation Techniques (filtering, grouping, merging)
Course Learning Outcomes
- Learn to load, clean, and manipulate datasets using the Pandas library.
- Understand and perform data operations such as filtering, sorting, and grouping.
- Merge and join datasets to prepare data for 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 Data Manipulation with Pandas course 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