BUS201 Intermediate Data Analytics
BUS201 Intermediate Data Analytics
Data analytics involves the process of examining, cleaning, transforming, and modeling data to discover useful information and support decision-making.
In this intermediate course, you will expand your data analytics skills, focusing on more advanced techniques and tools that are essential for extracting meaningful insights from complex datasets in various business contexts.
Throughout this course, you will delve into topics such as predictive modeling, data visualization, statistical analysis, and machine learning fundamentals.
The course covers practical applications of these concepts using industry-standard software tools like Python, R, or SQL.
Through a combination of lectures, hands-on lab sessions, and real-world case studies, you will develop proficiency in applying these analytical techniques to business problems.
You will also work on a capstone project where you will analyze a large dataset and present your findings using advanced visualization techniques.
This course will enhance your analytical capabilities, preparing you for advanced studies in data science and equipping you with valuable skills highly sought after in today’s data-driven business environment.
DURATION
This course is worth two (2) semester credit hours
Assessment
Online Exam
- Description: The questions in the exam relate to the lecture content and readings.
- Weight: This assessment task is worth 10% of your final grade.
- Length: You have 90 minutes to complete the 50-question exam. You may reattempt it up to two times.
Discussion
- Description: Engage in an asynchronous, one-on-one discussion with your professor about the coursework and its implications for practice.
- Weight: This assessment task is worth 20% of your final grade.
- Length: Each contribution to the discussion should be between 50-100 words. The discussion will run for 5 iterations.
Report
- Description: Choose a topic from the list provided or suggest one to your professor that is relevant to the course.
- Weight: This assessment task is worth 35% of your final grade.
- Length: 1,000-1,500 words (excluding appendices and references).
Presentation
- Description: Live present your report, including findings and recommendations.
- Weight: This assessment task is worth 20% of your final grade.
- Length: 5-7 minutes.
Viva voce
- Description: Defend the findings of your report/presentation in the context of this course.
- Weight: This assessment task is worth 15% of your final grade.
- Length: 10 minutes.
Related Courses
- Pre-requisites – BUS105 Introduction to Data Analytics
- Co-requisites – none
- Exclusions – none
Learning Outcomes
At the end of this course, you will be able to:
- Apply advanced statistical techniques and predictive modeling methods to analyze complex business datasets and forecast trends.
- Develop and implement machine learning algorithms for classification, clustering, and regression tasks using industry-standard tools like Python or R.
- Create sophisticated data visualizations to effectively communicate analytical findings and support data-driven decision-making.
- Design and execute a comprehensive data analysis project, from data cleaning and exploration to modeling and result interpretation.
Graduates of this course are eligible for the Professional Certificate in Intermediate Data Analytics from Cedar Mountains University.
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