ANA5003X - Data Analysis and Aggregation
Course Description
As organizations increasingly rely on data to guide strategic decisions, professionals who can interpret and summarize data effectively are in high demand. Data Analysis and Aggregation is a skill-focused course designed for individuals aiming to build a solid foundation in data analytics and position themselves for roles in business intelligence, data analysis, or operations.
In this course, you’ll learn to perform exploratory data analysis (EDA)—a critical first step in understanding the story behind the numbers. Through hands-on practice, you’ll uncover trends, detect anomalies, and gain insights that drive better decision-making. You’ll also work with descriptive and summary statistics to interpret key characteristics of data and communicate findings clearly.
A core component of the course is mastering data aggregation techniques using powerful group-by operations. You’ll learn how to organize and summarize data across different categories to extract meaningful patterns and insights at scale.
By the end of this course, you’ll be equipped to take raw datasets and turn them into actionable intelligence—an essential skill set for analysts, managers, and professionals looking to add value through data.
Key Benefits
- 100% Asynchronous
- No prior experience is required
- Learn industry-relevant skills for a career in data analysis
- No textbooks and other materials required
Learning Modules Include
- Unit 1 – Exploratory data analysis (EDA) techniques
- Unit 2 – Descriptive statistics and summary statistics
- Unit 3 – Data aggregation and group-by operations
Course Learning Outcomes
- Perform exploratory data analysis (EDA) to uncover patterns and insights within datasets.
- Use statistical methods to summarize and describe data.
- Apply data aggregation techniques for summarizing data.
Requirements to Enroll
No application is needed 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, and have basic computer and internet knowledge.
Estimated Time to Completion
This course can be completed in 19 hours.
Access Time
Learners will have access to their course learning modules for up to 12 months from the date of enrollment.
Certificate of Completion
Learners will be awarded a National University Professional and Continuing Education Certificate of Completion after successful completion of all 3 units and earning a 100% class progress.
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. (An error will appear if accessed before 24 hours)
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