Workshop on Business Analytics:
Data-Driven Decision Making
Fee: PKR 40,000
- 2 Day (In-person)
- PDC building, NUST H-12 Campus, Islamabad.
- 23rd & 24th July
- Tuesday & Wednesday 9:00 AM to 5:00 PM
In today’s data-driven world, the ability to interpret data effectively is crucial for making informed business decisions.
Our workshop on “Business Analytics: Data-Driven Decision Making” is designed to empower professionals with the skills needed to equip the power of data.
With future prediction being one of the most valuable skills, this workshop equips you with the tools to turn data into actionable insights.
Tools like Power BI and Excel are essential in this process, making them a necessity for any data-driven professional aiming to make smarter business decisions.
What to expect from this workshop?
Principles of data analysis for business decisions
Prescriptive analytics strategies for data-driven decision-making.
Visualization and interpretation of key performance indicators (KPIs).
Predictive models using Machine Learning.
Fee
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LUMPSUM
Group of 2 or more
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LUMPSUM
Workshop Curriculum
Module 1: Data Basics
Explore the core principles by contrasting different methods of data analysis, scrutinizing variables, and evaluating the effects of sample size and sample bias.
Module 2: Dashboarding
Familiarize yourself with dashboards to leverage data analytics. Learn about the roles of conditional averages, distributions, regression toward the mean, and hypothesis testing in creating Key Performance Indicators (KPIs).
Module 3: Introduction to Prediction
Delve into the world of predictive analysis if you're drawn to strategic foresight. Understand how to construct prediction models, the integration of machine learning and AI in forecasting, and the strategic impacts of predictive analytics.
Module 4: Regression
Master regression, a critical component of statistical modeling and a cornerstone of data literacy. Discover the function of regression in prediction, and learn the key questions to pose to data analysts—and yourself.
Module 5: Scientific Thinking in Business: Prescriptive Analysis
Transform raw data into actionable business strategies. Investigate cause and effect within data analysis, design experiments, analyze causal inference without relying on experiments, and prepare to recommend actions based on likely outcomes.
Module 6: Building a Data-Driven Organization
Extend the scope of data literacy across your organization. Create a framework that fosters a question-driven approach to data analysis, address privacy issues, and develop a strategy to cultivate an evidence- and learning-focused corporate culture.
Trainers
Mahnoor Salman
