Statistics For Data Science The statistic is a beautiful field which plays under the huge tree of calculation known as Mathematics. Statistics aka "STATS" is a branch that plays around data collection, organization, analysis, interpretation and presentation. It is the very tools used worldwide solve any analytical problem from business to the education system, from research to development and yes STATS is a complete deep subject in itself and is the backbone of any analysis and data science. Home / Self paced courses / Data Science / Statistics For Data Science 297 students enrolled Overview Curriculum What Will I Learn? What is STATS? Whats analysis. Basic mathematical logic. All concept of STATS. Deep insight into how it really works in real-world problems. Description The statistic is a mathematical field that deals with data analysis for finding a solution for the required solution and we can work with a clear mindset by knowing the historical data and present data. It also helps us predicting the future of the data. Linear Regression. Standard Deviation. Bell Curve. Skewness. Probability. Calculus. And more deep topics. Requirements Basic of maths. Basic understanding of line and formula. Target Audience Professionals who are willing to learn Statistics. This tutorial will give you great understanding on concepts present in Statistics to work on data science and AI. Career Path Study of statistic makes you capable to work in several fields, some majors are Ecology, Marketing and sales, Engineering, Analysis, Survey, Pharmacology, Education, Consulting, Agriculture and even Astrology. Training Information Training Name Training Duration 10 week Enrolled Students 0 Fee $0.00 Training Highlights Online Class Demo Dates 00 days 00 hours 00 minutes 00 seconds Date and Time Wednesday, 31 Dec, 1969 19:00 PM EST Monthly Subscription $15.00$20.00PER MONTH / BILLED MONTHLY Trial Now Yearly Subscription $180.00$200.00BILLED ANNUALY Trial Now Contact Us +1-800-543-5571 Request more information For Individual For Corporates Name Email Phone No. City Submit Name Email Phone No. Company Name City Submit