Fundamentals of Business Analytics
Course Details
Instructor
Zaheer Swati
Course Catagory
Duration
48 Hours
Type
Self Guided
Course Plan
Course Description
This course introduces students to the fundamentals of business analytics with a strong emphasis on practical applications in business decision-making. It covers data handling, descriptive and inferential statistics, and data preparation using Microsoft Excel. Students will develop analytical skills through tools such as Power Query, PivotTables, and dashboards.
Program Learning Outcomes (PLO)
Upon successful completion of the Data Analytics program, graduates will be able to:
1. Quantitative and Analytical Skills
Apply mathematical, statistical, and computational techniques to analyze and interpret complex datasets for informed decision-making.
2. Data Management and Modeling
Demonstrate proficiency in managing datasets, building analytical models, and applying statistical or machine learning techniques to solve practical problems.
3. Communication and Visualization
Effectively visualize and communicate analytical findings and recommendations to diverse audiences using appropriate tools and techniques.
4. Ethics and Legal Awareness
Adhere to ethical standards and legal frameworks in data collection, analysis, and reporting, ensuring integrity and privacy in analytics.
5. Innovation and Lifelong Learning
Leverage analytics tools and methodologies to drive innovation and maintain adaptability by keeping pace with evolving technologies and industry trends.
Course Learning Outcomes (CLO)
By the end of this course, students will be able to:
1. Understand and apply fundamental concepts of business analytics in solving real-world business problems.
2. Perform data analysis using Excel, including data cleaning, formulas, functions, and visualisation tools.
3. Apply statistical techniques (descriptive and inferential) to interpret business data and support decision-making.
4. Develop interactive dashboards and reports using Excel and Power BI for business insights.
5. Demonstrate basic programming skills in Python for data handling and analysis tasks.
What’s Included
26 Lessons
Multiple Choice Questions
Analytics Exercises
Problems with Solutions
Practice Questions
Exam Questions
Video Lectures
Case Studies
Tutorials
Course Content
Lessons Fundamentals of Business Analytics Orientation Introduction to Business Analytics Business Data Statistical Methods Mathematical Methods
Learning Resources
Analytics Courses
Workshops
Resource Library
Project Ideas
Formulas
Templates
Calculator
Glossary
Career Resources
Recommended Books
Pre-requisite
Enrollment in Exploring Quantitative Skills requires a basic understanding of high school mathematics, including arithmetic, algebra, and geometry, along with problem-solving and logical reasoning skills. Advanced knowledge of mathematics or data analysis is not required, as this course serves as an accessible starting point for analytics students.