Statistics
4.7 (1273 ratings)
lifelong access
Intermediate level
1943+ learners
Language: English
8 Hours
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.
Shubhra Gupta
Statistics
8 Hours
Chapters
Course Overview
Course Overview
This course will enable you to
Know the Application, Scope and Historical Events of Statistics - Get to know the Concept of Descriptive and Inferential Statistics
- Understand the Basic Concepts of Data Analysis
- Learn Sampling Methods and Test of Significance
- Learn How to Build Charts & Graphs and Perform Statistical Analysis in a spreadsheet
What’s included?
2 project files
Learning groups
Certificate on completion
Internship opportunities
Flexible learning & lifelong access
Learner’s from this course got opportunities at
+142 more
Careers ahead
Financial Analyst, Statistician, Database Administrator
More details
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.
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Learn the unschool way
Experiential learning
Internships, projects and practical teaching methods. Unschooling all the ways of traditional textbook knowledge.
Weekly discussions and webinars
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Community
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About the instructor
About the instructor
Shubhra Gupta
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.
1 course 
1842 students
4.6 instructor ratings
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Student reviews
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