Learn the gems of statistics to excel in the areas of data science, machine learning and artificial intelligence. The beauty of machine algorithms lie in statistics.
Financial Analyst, Statistician, Database Administrator
Statistics, a vital element of society since ancient times is being used in almost every domain of activity. The statistical methods play an important role in solving a problem & compiling the collected data, which can efficiently answer the questions relevant to the problem. Then, this data can be analyzed to effectively present the results or infer conclusions or make predictions.
In the modern days, disciplines like data science study the data generated by many resources. For instance, internet data such as browsing behavior, banking transaction details, etc. are used to predict different things about the user. Also, the data obtained from satellites is used to predict the weather. The prediction algorithms used in these fields are statistical in nature.
This course is presented with slides and videos to enhance your skills in statistical methods. There are section-wise quizzes to build your concepts. The projects would enable you to learn the real-life applications and usage of statistics on the grassroots level.
Internships, projects and practical teaching methods. Unschooling all the ways of traditional textbook knowledge.
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Professional M.S. in Computational Biosciences | Arizona State University
Shubhra Gupta is an independent professional. She has teaching and research experience of more than 10 years in statistics, biostatistics, mathematics, and bioinformatics at various universities in India and the USA. Her research interest includes statistical methods with R statistical programming, number theory, and its applications, computational science. She has a professional M.S. in computational biosciences from Arizona State University, the USA, and an M.Sc. in mathematics from the University of Kanpur, India.