Descriptive Statistics











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ITonlinelearning is a UK-based eLearning company specialising in a variety of fields, including Data Analysis, Business Analysis, Information Technology, Digital Marketing and many others. We offer globally accredited certifications, diplomas and courses to help our students achieve their career aspirations and stand out in competitive job markets. • About this Webinar • In this webinar, hosted by Neville, our Data Analysis and Coding Tutor, we dive into the fundamentals of Descriptive Statistics, a critical tool for any data analyst. Whether you're new to data analysis or looking to refine your skills, this session will equip you with essential techniques to summarise and interpret data effectively. • Webinar Highlights: • What are Descriptive Statistics? • 🔹 Understand the core concepts and their importance in data analysis. • 🔹 Learn how to use descriptive statistics to summarise and interpret data effectively. • Types of Descriptive Statistics: • 🔹Measures of Central Tendency: Learn how the mean, median, and mode define the center of your data. • 🔹Measures of Dispersion: Explore the range, variance, and standard deviation to understand data variability. • 🔹Measures of Shape: Discover how skewness reveals the asymmetry of data distribution. • Purpose of Descriptive Statistics: • 🔹 See how descriptive statistics transform raw data into actionable insights. • 🔹 Understand how they answer real-world questions like customer behavior trends and sales patterns. • Practical Example: • 🔹 Explore a real-world application: analysing customer ratings and uncovering patterns in large datasets. • 🔹 Learn how descriptive statistics make sense of complex data for decision-making. • Real-World Relevance: • 🔹 Imagine being handed a massive dataset by your team and uncovering insights like sales trends or customer satisfaction. • 🔹 Learn how to use descriptive statistics to communicate findings effectively. • Why Descriptive Statistics Matter • Descriptive statistics are the foundation of data analysis. Without them, data is just a collection of numbers. With them, you can uncover insights that drive strategic decisions, improve customer experiences and reveal trends. • Download the referenced dataset to follow along and practice the techniques discussed: https://docs.google.com/spreadsheets/... • 🎓 Explore Our Data Analysis Courses 🎓 • Gain essential skills with our accredited courses: https://www.itonlinelearning.com/care... • Check out our Socials! • ✨ Facebook: ITonlinelearning • ✨ Twitter: @IT_PM_Training • ✨ LinkedIn: ITonlinelearning • ✨ Website: ITonlinelearning.com

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