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Applied Data Analytics for Decision-Making
Applications for 25 May 2026 closes soon
Schedule
Delivery
Work through interactive modules released weekly
Price
all-inclusive
Credential
Earn a certificate from Nile University of Nigeria
Empower Your Career with Data-Driven Decisions
Unlock the power of data with our Applied Data Analytics for Decision-Making course. Learn to turn raw data into actionable insights, visualise trends, and make smarter business decisions using real-world techniques.
Gain the ability to analyse complex data and make informed, strategic decisions that can significantly impact business outcomes.
Learn advanced data analytics techniques that streamline processes, reduce inefficiencies, and drive productivity improvements within your organisation.
Acquire cutting-edge analytics skills that can give you a competitive edge in the job market.
Cultivate a data-driven culture to boost performance and align teams with actionable insights and measurable results.
Course outline
Please note: While there are no formal prerequisites, some prior experience in data analytics, mathematics, or statistics is recommended.
Data analytics exercises will only require Microsoft Excel.
01
MODULE 1
Data Analysis Essentials: Building Your Analytical Skills
02
MODULE 1
Navigating Probability and Uncertainty in Decision-Making
03
MODULE 3
Unlocking Insights: Statistical Inference and Hypothesis Testing
04
MODULE 4
Analysing Data Relationships with Correlation and Regression
05
MODULE 5
Future Trends: Applied Time Series Techniques
06
MODULE 6
Advanced Regression Techniques
Who is this course designed for?
Business Leaders and Managers
Executives and managers who need to leverage data for strategic decision-making to drive business growth and innovation.
Mid to Senior-Level Professionals
Individuals in analytical roles such as business analysts, financial analysts, marketing analysts, and operations managers who seek to advance their data analytics skills and apply it to business problems.
Aspiring Data Scientists
Professionals looking to transition into data science roles and need a comprehensive understanding of advanced analytics and decision-making techniques.