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Statistics

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4.7 (1273 ratings)
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lifelong access

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Intermediate level

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1943+ learners

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Language: English

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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.

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Instructor Photo

Shubhra Gupta

Statistics
8 Hours

Chapters

Course Overview

Course Overview

This course will enable you to

  • List Item Know the Application, Scope and Historical Events of Statistics
  • List Item Get to know the Concept of Descriptive and Inferential Statistics
  • List Item Understand the Basic Concepts of Data Analysis
  • List Item Learn Sampling Methods and Test of Significance
  • List Item Learn How to Build Charts & Graphs and Perform Statistical Analysis in a spreadsheet

What’s included?

  • List Item2 project files
  • List ItemLearning groups
  • List ItemCertificate on completion
  • List ItemInternship opportunities
  • List ItemFlexible 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.

Learn the unschool way

Learn the unschool way

Experiential learning
Experiential learning

Internships, projects and practical teaching methods. Unschooling all the ways of traditional textbook knowledge.

Experiential learning
Weekly discussions and webinars

Get industry insights and updates by subject matter experts every week.

Experiential learning
Community

Become a part of an inspired community within and beyond your field of interest. Get access to unlimited opportunities.

About the instructor

About the instructor

Instructor Photo

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.

  • Courses1 course
  • Students1842 students
  • Ratings4.6 instructor ratings

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Student reviews

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Frequently asked questions

Frequently asked questions