BUS105 Introduction to Data Analytics
BUS105 Introduction to Data Analytics
Data analytics is the process of examining, cleaning, transforming, and modeling data to discover useful information and support decision-making.
In today’s data-driven business environment, you will find these skills essential for extracting valuable insights, identifying trends, and making informed strategic decisions.
In this course, you will learn fundamental concepts and techniques used in business analytics.
The course covers topics such as data collection, data cleaning, exploratory data analysis, basic statistical methods, and data visualization.
You will gain hands-on experience with industry-standard tools and software for data analysis and learn how to interpret and communicate analytical results effectively.
Through lectures, lab sessions, case studies, and practical projects, you will develop your ability to approach business problems from a data-driven perspective.
This course provides you with a foundational skillset in data analytics that will enhance your problem-solving capabilities and decision-making skills in both academic and professional contexts.
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 – none
- Co-requisites – none
- Exclusions – none
Learning Outcomes
At the end of this course, you will be able to:
- Apply basic data cleaning and preparation techniques to ensure data quality for analysis.
- Utilize descriptive statistical methods and data visualization tools to summarize and present business data effectively.
- Perform exploratory data analysis to identify patterns, trends, and relationships in business datasets.
- Interpret analytical results and communicate data-driven insights to support business decision-making processes.
Graduates of this course are eligible for the Professional Certificate in Introductory Data Analytics from Cedar Mountains University.
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