Learn Statistics for Data Analytics & Data Science from Scratch | Part I | Satyajit Pattnaik [Video]

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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.

𝐓𝐨𝐩𝐢𝐜𝐬 𝐂𝐨𝐯𝐞𝐫𝐞𝐝:

✅ 00:00 Introduction
✅ 02:16 Chapter 1 – Introduction to Statistics
✅ 08:04 Chapter 2 – Types of Data Agenda
✅ 08:43 Chapter 2 – Introduction to Descriptive Statistics
✅ 16:53 Chapter 2 – Introduction to Inferential Statistics
✅ 19:34 Chapter 2 – Qualitative Data
✅ 28:00 Chapter 2 – Quantitative Data
✅ 32:12 Chapter 3 – Sampling Techniques Agenda
✅ 33:52 Chapter 3 – Population vs Sample
✅ 37:34 Chapter 3 – Why sampling is important?
✅ 40:48 Chapter 3 – Types of sampling
✅ 44:11 Chapter 3 – Probability Sampling
✅ 52:14 Chapter 3 – Non Probability Sampling
✅ 01:05:44 Chapter 3 – Why n-1 instead of n?
✅ 01:10:50 Chapter 4 – Descriptive Statistics Agenda
✅ 01:11:54 Chapter 4 – Measures of Central Tendency
✅ 01:14:25 Chapter 4 – Mean
✅ 01:19:53 Chapter 4 – Median
✅ 01:26:51 Chapter 4 – Mode
✅ 01:31:30 Chapter 4 – Measures of Dispersion
✅ 01:35:38 Chapter 4 – Range
✅ 01:37:32 Chapter 4 – Inter Quartile Range
✅ 01:42:21 Chapter 4 – Variance & Std Dev
✅ 01:52:18 Chapter 4 – Mean Deviation

🔴 Part II – https://youtu.be/tYNTn5404z8
🔴 Part III: https://youtu.be/xTNCa9rqv0U

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