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📊 Syllabus: bit.ly/datascience-ai-masters
Welcome to an immersive journey into the world of statistics! In this comprehensive video course, we will unravel the complexities of statistics from the ground up, starting with the basics of data and delving into the realms of descriptive stats, inferential stats, sampling techniques, and much more. This is just the beginning of a three-part series that will equip you with the essential knowledge and skills to become a proficient statistician.
📊 Embrace the fundamentals: Our course begins with a deep dive into the foundational concepts of statistics. You will gain a solid understanding of data, its characteristics, and the significance of statistical analysis in unraveling its mysteries.
📈 Practical application: We believe in learning by doing. Through hands-on exercises and real-world examples, you will not only grasp the theoretical underpinnings but also master the practical application of statistical techniques. From data cleaning to preprocessing and analysis, you will develop the confidence to tackle diverse datasets with ease.
🔍 Unveil the hidden insights: Statistics is not just about numbers; it's about uncovering the compelling narratives hidden within the data. Our course will empower you to ask the right questions, interpret your findings, and effectively communicate your insights. Whether you're a novice venturing into the world of statistics or a seasoned professional seeking to enhance your skills, this course will elevate your data analysis capabilities to new heights.
Prepare to embark on a transformative statistical journey as we pave the way for you to unleash the power of data analysis and gain invaluable insights. Join us in this enlightening exploration of statistics, where the adventure is just beginning.
🔴 Part I: • Learn Statistics for D...
🔴 Part III: • Learn Statistics for D...
🔴 Statistics Material: bit.ly/zep-statistics
𝐓𝐨𝐩𝐢𝐜𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:
✅ 00:00 Introduction
✅ 01:40 Chapter 5 - Probability Agenda
✅ 02:43 Chapter 5 - What is Probability?
✅ 09:31 Chapter 5 - Addition Rule
✅ 16:33 Chapter 5 - Independent Events
✅ 21:02 Chapter 5 - Cumulative Probability
✅ 25:18 Chapter 5 - Conditional Probability
✅ 33:03 Chapter 5 - Bayes Theorem
✅ 40:02 Chapter 6 - Probability Distribution Agenda
✅ 42:04 Chapter 6 - Uniform Distribution
✅ 50:06 Chapter 6 - Binomial Distribution
✅ 1:02:47 Chapter 6 - Poisson Distribution
✅ 1:06:08 Chapter 6 - Normal Distribution
✅ 1:21:20 Chapter 6 - Skewness
✅ 1:26:10 Chapter 6 - Kurtosis
✅ 1:28:44 Chapter 6 - Calculating Probability with Z-Score
✅ 1:36:58 Chapter 6 - Calculating Probability with Z-Score Example 1
✅ 1:41:46 Chapter 6 - Calculating Probability with Z-Score Example 2
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