A full-day hands-on workshop on Statistics for Data Science Beginners

Statistics for Data Science beginners

The Association of Data Scientists (ADaSci), the premier global professional body of data science and machine learning professionals, has announced a full-day hands-on workshop on Statistics with Python for Data Science Beginners to be held on December 3rd, Saturday.

Data science is a multidisciplinary field, and a data science practitioner should acquire a comprehensive set of skills that covers every building block of the field in order to have a flourishing career. Statistics is one of the building blocks. Further, the goal of data science is to get insights from data. The first step toward achieving this goal is to thoroughly understand the data. Statistics is the most powerful tool for understanding, interpreting, and evaluating data.

ADaSci is coming up with this opportunity to let data science aspirants dive deeply into statistics. In this workshop, the attendees will get a complete understanding of the concept of statistics and where and how it is used. Different ways of understanding the data using methods like descriptive statistics and inferential statistics will be discussed in this workshop with hands-on experiments in python.

By the end of this workshop, the attendees will get a complete understanding of the concepts of statistics used in data science. This workshop will give a sound exposure to both descriptive statistics and inferential statistics with their real-world applications. Attendees will get a complete hands-on understanding of statistical concepts in python. Along with that, the attendees will get mastered in data analysis concepts with their mathematical understanding and hands-on implementations.

Overall, this workshop will be a good opportunity for data science beginners to learn statistics from the very basics and get a sound understanding of what part of and how statistics is practically used in the field of data science. It will be a suitable dose for data science enthusiasts who are keen to learn this important and widely used mathematical part of data science.