This professional course provides learners with the skills to analyze and interpret data to support informed business decisions. It covers essential topics such as data collection, cleaning, visualization, and statistical analysis. Learners will explore real-world case studies and use industry-standard tools like Excel, SQL, and data visualization platforms. By the end of the course, participants will be able to transform raw data into actionable insights, communicate findings effectively, and apply analytical thinking to solve business challenges.
Business Intelligence
This professional course provides learners with the skills to analyze and interpret data to support informed business decisions. It covers essential topics such as data collection, cleaning, visualization, and statistical analysis. Learners will explore real-world case studies and use industry-standard tools like Excel, SQL, and data visualization platforms. By the end of the course, participants will be able to transform raw data into actionable insights, communicate findings effectively, and apply analytical thinking to solve business challenges.
Reviews
No. of Enrollments
1 students
LevelIntermediate
Commitment3 weeks
Course Load3 Modules
PriceFree
About this course
This professional course provides learners with the skills to analyze and interpret data to support informed business decisions. It covers essential topics such as data collection, cleaning, visualization, and statistical analysis. Learners will explore real-world case studies and use industry-standard tools like Excel, SQL, and data visualization platforms. By the end of the course, participants will be able to transform raw data into actionable insights, communicate findings effectively, and apply analytical thinking to solve business challenges.
Knowledge & Skills You Will Learn
Course learning outcomes
After studying this course, you should be able to:
- Analyze business data by collecting, cleaning, and transforming raw datasets to generate actionable insights for decision-making.
- Interpret and visualize data effectively using charts, dashboards, and reports to communicate findings to stakeholders.
- Explain the principles, lifecycle, and architecture of business intelligence, including data warehousing and emerging trends in the field.
- Apply predictive and prescriptive analytics techniques to solve real-world business problems and recommend informed strategies.
- Demonstrate proficiency in tools such as Excel, SQL, and data visualization platforms to implement business analytics solutions in practical scenarios.
Course Modules
Module 1
Module 1: Business Intelligence
Module Overview:In this module, you will learn what is business intelligence, its applications and how it is related to data science and business analytics; business intelligence lifecycle, business intelligence architecture and data warehousing fundamentals; emerging trends in business intelligence; data wrangling, manipulation, visualization and creating reports. Further, the module provides examples, exercises and problems for self-assessment in the learning process.
What's included
Module 2
Module 2: Business Analytics
Module Overview: In this module, you will learn what is business analytics, it's scope,importance and types; soft skills and best practices; privacy and ethics; and data management using excel. Further, the module provides examples, exercises and problems for self-assessment in the learning process.
What's included
Module 3
Module 3: Predictive and Prescriptive Analytics
Module Overview: In this module, you will learn what is predictive and prescriptive analytics, and their applica- tions; applications of predictive analytics; applications of prescriptive analytics and discuss the future of business analytics. Further, the module provides examples, exercises and problems for self-assessment in the learning process.
What's included
No recommendations available currently.
Student feedback
An excellent course for starters
About the instructor
Godfrey WABWIRE
I am Professor Grace Mwende, a Professor of Business with expertise in management, strategy, and organizational development. I am passionate about translating research into practical business solutions and preparing future leaders to thrive in dynamic markets. I enjoy mentoring students, guiding research projects, and bridging theory with real-world business practices to create meaningful impact.