Free online courseStatistics for Data Science

Course Description

Welcome to "Statistics for Data Science," a course meticulously crafted to equip you with the foundational pillars and advanced techniques in statistics essential for data science. Spanning over 10 hours and 53 minutes, this comprehensive program delves deeply into various statistical concepts, making it an invaluable resource for those aspiring to excel in data science.

As part of the Basic studies category under the Statistics subcategory, this course begins with an introductory session that lays down the significance of statistics in the realm of data science. Live Day 1 sets the stage by covering fundamental concepts, ensuring you grasp the core principles that will be built upon in subsequent sessions.

Transitioning from basic to intermediate statistics, Live Day 2 bridges the initial foundational knowledge to more intricate statistical techniques. This segment is designed to elevate your understanding, ensuring you are well-versed with essential statistical methods that are pertinent in data science.

On Live Day 3, the focus shifts towards integrating Python with intermediate statistics. By incorporating Python, a powerful programming language widely used in data science, you start to see how these statistical techniques can be practically applied to real-world data sets. This hands-on approach not only solidifies theoretical knowledge but also enhances your computational skills.

Live Days 4, 5, and 6 are dedicated to advanced statistics with Python. These sessions are an in-depth exploration into sophisticated statistical methods. They enable you to tackle complex data science problems more effectively. The three-day span allows for a detailed and thorough understanding, ensuring you are adept at using advanced statistical tools and techniques.

The course then moves to summarizing statistics with Python in Live Day 7. This session encapsulates the journey so far, providing an overview and summary that ties together all the concepts learned. By the end of this session, you'll have a comprehensive understanding of statistics in the context of data science, capable of summarizing and interpreting complex data with ease.

To conclude, the course includes a valuable video titled "Watch This Video To Crack Any Stats Interview For Data Scientist," which focuses on understanding Probability Density Function (PDF), Probability Mass Function (PMF), and Cumulative Distribution Function (CDF). This video is specially designed to prepare you for interviews, ensuring you can confidently discuss and apply statistical concepts during your job search.

While the course currently holds no reviews, the meticulously structured content and the practical application of Python for data science make it a quintessential program for anyone looking to strengthen their statistical acumen in data science. Embark on this educational voyage and transform your proficiency in statistics to new heights.