Introduction to Statistics and Mathematical Foundation 101

Kickstart Your Data Science Journey with Core Quantitative SkillsThis foundational course introduces essential statistical and mathematical concepts for students, analysts, and professionals eager to build fluency in data science. It’s the ideal entry point for understanding the logic behind data, uncertainty, and predictive thinking.

Location:Cloud Spaces ADGM(Course may be delivered via Teams if a physical venue is unavailable)

This event offers you:📈 A comprehensive breakdown of statistical thinking, probability, and key math tools📊 Case-based learning and real-world problem-solving exercises🤝 Peer learning and discussion in a supportive classroom environment

Don’t miss this opportunity to:💡 Grasp core concepts like mean, variance, distributions, and hypothesis testing🔍 Learn where linear algebra, probability, and calculus show up in data work🌱 See how foundational techniques power real data science projects

Topics covered include:

• Types of data: nominal, ordinal, interval, ratio
• Descriptive statistics: central tendency and variability
• Basic probability and key rules
• Discrete and continuous distributions
• Hypothesis testing and confidence intervals
• Case study: Predicting and optimizing energy consumption in smart grids

This event is for:

• Students and early-career professionals transitioning into data science
• Economists, analysts, and researchers needing a stats refresh
• Tech professionals upskilling in statistical reasoning
• Anyone curious about the math powering data decisions

Register now — spaces are limited to encourage hands-on discussion and Q&A.