Mastering Statistical Analysis | Logicmojo Data Science Classes

Statistics Used in Data Science

From beginners to seasoned professionals, this video is designed to enhance your understanding and application of statistical methods in data analysis and decision-making processes.

What You'll Learn:

Fundamental Concepts: We start with the basics, introducing you to the essential statistical concepts every data scientist must know, including descriptive statistics, probability distributions, and inferential statistics.
Data Analysis Techniques: Discover how statistical tools and techniques, such as hypothesis testing, regression analysis, and Bayesian statistics, are utilized to extract insights from data.
Real-World Applications: See statistics in action with examples from various industries, showcasing how data-driven decisions are made in business, healthcare, technology, and more.
Tools and Software: Get an overview of the most popular statistical software and tools used in data science, including R, Python, and SAS, and how they can be leveraged to perform complex analyses.
Who Should Watch:

Aspiring Data Scientists: Kickstart your journey in data science with a solid statistical foundation.
Professionals in Data-Driven Fields: Enhance your analytical skills and decision-making capabilities.
Students and Educators: Supplement your studies or teaching materials with comprehensive insights into statistics in data science.
Anyone Curious About Data Science: Gain a better understanding of how statistics fuel the insights behind big data.
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