Certificate in Business analytics and Visualization
About Course
This course focuses on the strategic and business value of business analytics and visualization, equipping students with the relevant analytics and visualization skills required to solve complex data problems of contemporary businesses.Description
This course focuses on the strategic and business value of business analytics and visualization, equipping students with the relevant analytics and visualization skills required to solve complex data problems of contemporary businesses. Students will learn about evidence-based decision making, tools and techniques required to collect, clean, analyse and visualise data of various types, and will have the opportunity to apply their learning in real world settings.
What Will I Learn?
- 1. Understand the concept of business analytics and visualisation and its application in various organisational contexts.
- 2. Understand the concepts of descriptive, predictive and prescriptive analytics and apply the appropriate data analytics tools and techniques to implement business analytics strategy.
- 3. Apply critical thinking and problem-solving skills to resolve complex data and visualisation problems.
- 4. Collect, analyse and visualise structured, unstructured and network data.
Topics for this course
3 Lessons
Strategic Value of Business Analytics
Week-1- Lesson -1
Week 1 – Lesson -2
Week2 – Lesson 1
Application of Data Analytics Lifecycle
Foundation of Data Visualization and Emerging Trends in Business Analytics
Structured Data Analytics – Part 1 Data acquisition / data scrapping
About the instructor
Free
Material Includes
- 1 x (2 hours) class / week for 12 weeks
- 2 x (2 hours) class / week for 6 weeks
Target Audience
- People involved in evidence-based decision making, dealing with large volumes of data or interested in learning state-of-the-art business analytics tools and techniques should consider attending this course. The course dismisses the perception that business analytics and visualization is only for people with strong IT skills and background in computer sciences. People with at least basic computer skills such as intermediate understanding of using programs such as MS Excel and MS Word should be able to get maximum out from this course.
