This course introduces the fundamentals of probability theory and its application to data science. Learn how to use random variables, independence, Monte Carlo simulations, expected values, standard errors, and the Central Limit Theorem to analyze data affected by chance. Gain the skills to conduct statistical tests and understand the risk of securities sold by financial institutions. This course is essential for data scientists and online learners.
Statistics and R
3.5
Edx2,803 learners
Learn More
This course teaches the R programming language in the context of statistical data and statistical analysis in the life sciences. We will learn the basics of statistical inference, analyze data with R code, use visualization techniques, and describe robust statistical techniques. The course is divided into seven parts, with topics ranging from simple calculations and descriptive statistics to advanced software engineering skills. We provide R programming examples to help make the connection between concepts and implementation. This course is self-paced and is part of two Professional Certificates.
Combining and Analyzing Complex Data
2.5
Coursera0 learners
Learn More
This course will teach you how to combine and analyze complex data using survey weights, linear and logistic regressions, record linkage, and statistical matching. You will learn how to use R® software to estimate descriptive statistics and model parameters. Additionally, the course will cover ethical issues related to combining datasets, such as obtaining informed consent from individuals. By the end of the course, you will have the skills to effectively analyze complex data.
Data Analysis: Statistical Modeling and Computation in Applications
5.0
ThaiMOOC621 learners
Learn More
This course provides learners with the skills to analyze data and answer questions using real data. It covers foundational and practical skills such as hypothesis testing, regression, gradient descent methods, and domain knowledge. Learners will study common models and methods to analyze data in four different domain areas, and present their findings in written reports. This course is part of the MITx MicroMasters Program in Statistics and Data Science. Master the skills needed to be an effective practitioner of data science.
1. Programming Courses: These online courses cover a wide range of programming languages such as Python, Java, C++, and more. They also teach students web development, software engineering, and other technical skills.
2. Business Courses: These courses cover topics such as entrepreneurship, marketing, accounting, and financial management. Students can learn about business strategy, banking, investment, and more.
3. Language Courses: Online courses in languages such as Spanish, French, Mandarin, and more are available for students looking to improve their language skills or learn a new language.
4. Healthcare Courses: These courses cover topics such as nursing, medical coding, healthcare management, and more. Students can also learn about public health, nutrition, and other related topics.
5. Arts & Design Courses: Online courses in graphic design, animation, photography, and other artistic subjects are available for students interested in creative fields.
6. Personal Development Courses: These courses cover topics such as time management, communication skills, mindfulness, and more to help students improve their personal and professional lives.
7. STEM Courses: Science, Technology, Engineering, and Mathematics (STEM) courses cover subjects such as biology, physics, engineering, and more. Students can learn about cutting-edge technologies and scientific advancements.
Click Allow to get free Statistics & Probability courses!
Click Allow to get free Statistics & Probability courses!