This article curated the Best Online Statistic Classes available for students who want to obtain vital knowledge that will help them advance in their statistics profession. These courses are available for beginners and advanced students. Therefore, if you want to learn how to analyze data all around you or pursue your ideal job either as a student, statistician, or researcher, taking any of the online statistics courses listed below is worth considering.
What is Statistics?
Statistics is a branch of mathematics concerned with the analysis of data. Population data using machine learning, sample distributions, survey findings, data analysis, normal distribution, hypothesis testing, data obtained from studies, and much more can all be included in data sets.
What are Statistics Online Classes?
Online statistic classes are online classes that teach statistics fundamental concepts and tools for analyzing data, which can be free or paid for. Unlike traditional teaching, online classes on statistics provide platforms for people to learn statistics in an engaging and effective online learning environment complete with video tutorials, quizzes, and more.
Why Should I take Statistics Online Classes?
Taking statistics classes online come with many benefits. Aside from its flexible nature, other benefits include:
Best Online Statistic Classes for Beginners and Advance
Below is a list of 19 Best statistic classes online for Beginners and Advance you can opt for this 2021:
Data Analysis: Statistical Modeling and Computation in ApplicationsFundamentals of StatisticsProbability and Statistics in Data Science using PythonBusiness Statistics and Analysis SpecializationBiostatistics in Public Health SpecializationProbability and Statistics: To p or not to p?Statistics with R SpecializationMathematics for Data Science SpecializatioNStatistical Data Analysis with JavaJamovi: A Powerful R-based Statistical Analyses ToolData science tools: Statistical Hypothesis Testing-1Intro to StatisticsStatistical Thinking for Data Science and AnalyticsLearn how to use statistics step by stepStatistics, Probability, and Cognitive Bias: An IntroductionBasic Statistics for EngineersStatistics 001 for Business Analytics and Data ScienceSPSS Statistics Essential TrainingMathTrackX: Statistics
#1. Data Analysis: Statistical Modeling and Computation in Applications
This is one of the best online statistics courses for advanced statisticians. During this course, you will learn common statistical and computational tools. These tools will include hypothesis testing, regression, and gradient descent methods. Also, you’ll be taught the models and methods on how to analyze specific types of data in different domain areas. Furthermore, this online class will give you the platform to combine foundational and practical skills. These skills include mathematics, statistics, machine learning, problem-solving to programming, visualization, and communication skills.
#2. Fundamentals of Statistics
Next on our list of best online statistics classes for advanced statisticians is Fundamentals of Statistics. Basically, Statistics is the science of transforming data into insights and decisions. Fundamental statistical principles underpin current developments in machine learning, data science, and artificial intelligence. The major goal of this online statistics course free is to explore and understand these fundamental notions on solid mathematical ground, beginning with the building of estimators and tests and ending with a study of their asymptotic performance. Furthermore, taking this class will help you to broaden your statistical knowledge. This will not only include a list of methods, but also the mathematical concepts that connect them.
#3. Probability and Statistics in Data Science using Python
Probability and Statistics in Data Science using Python is among the free online statistics courses with certificates. It’s an advanced online class that teaches the foundations of probability and statistics. During this course, you’ll learn both the mathematical theory and also get a hands-on experience of applying this theory to actual data using Jupyter notebooks. The only challenge with enrolling in this online statistics course is that you won’t be able to register for this course if you’re from Iran, Cuba, or the Crimea region of Ukraine.
#4. Business Statistics and Analysis Specialization
Business statistics and analysis specialization are one of the best online statistic classes accredited for Beginners. This course will provide you with a fundamental foundation of corporate data analysis tools and procedures. You’ll learn key spreadsheet functions, create descriptive business data metrics, and hone your data modelling skills. This course will also help you examine basic probability concepts, such as measuring and modelling uncertainty, and you will assess and inform business decisions using diverse data distributions and the Linear Regression Model.
#5. Biostatistics in Public Health Specialization
If you want to become a public health personal, data analyst, or social worker, this is one of the best online statistics courses you can take. During this statistic beginners’ course, you will assume the role of a biostatistical consultant helping research teams review and interpret the published scientific literature. However, being able to complete this course help you read and interpret scientific literature, including the methods and results sections.
#6. Probability and Statistics: To p or not to p?
Want to deal with the difficulties that come with uncertainty? this online Coursera course will help you out! This is one of the best statistics online classes designed for beginners that is worth going for. This course provides you with the important tools and strategies to deal with uncertainty in decision-making. Also, it provides essential skills for a lifetime of good decision-making. Note, during this easy online statistics course major topics such as quantifying uncertainty with probability, descriptive statistics, point and interval estimation of means and proportions, the basics of hypothesis testing, and a selection of multivariate applications of key terms and concepts seen throughout the course. will be covered.
#7. Statistics with R Specialization
Statistics with R Specialization is among the top online statistics classes accredited to be taken at Duke University. In this beginner course, you will learn to analyze and visualize data in R and construct repeatable data analysis reports. Also, you will demonstrate a conceptual knowledge of the unified nature of statistical inference. Furthermore, this online course will enable you you will execute frequentist and Bayesian statistical inference and modelling to comprehend natural events and make data-driven decisions, including correctly and effectively conveying statistical results.
#8. Mathematics for Data Science Specialization
Want to create a solid foundation for your data science skills? Want to learn a wide spectrum of the math behind Data Science and how to put it into practice? This online course is what you need! This is an online statistics course that teaches how to make use of mathematical tools that makes things work. During this course, topics that will be covered includes Discrete Mathematics, Calculus, Linear Algebra, and Probability.
#9. Statistical Data Analysis with Java
Are you eager to learn how to efficiently model and visualize your data with Java? This is the course for you! This thorough course will teach you how to apply basic analysis to your business needs, construct time-series predictions, and execute statistical data analysis approaches utilizing Java APIs. Then you’ll learn how to get the text, understand it, and assess it. Further, you’ll learn to employ analysis approaches to get valuable insights supplied by software programs after processing the data; you’ll also learn numerous java tools to visualize data in various forms.
#10. Jamovi: A Powerful R-based Statistical Analyses Tool
This is one of the online statistics courses that suits you if you’re looking for a tool to help you get started on your research and analyses and have opted to use Jamovi. This course provides you with an overview of how to utilize Jamovi and its primary features. One interesting thing about this course is that you don’t have to be a statistician or a particular researcher to be able to take it. It is on to everyone!
#11. Data science tools: Statistical Hypothesis Testing-1
One of the most essential topics in statistics, particularly inferential statistics, is hypothesis testing. In this course, the statistical hypothesis test and various terminologies (p-value, degree of significance, type 1 and type 2 mistakes) will be thoroughly discussed. You will be able to derive information on a population’s mean, proportion, differences in means or proportions, and the relationships. Also, you will learn about the process of developing and testing hypotheses step by step. They will get an understanding of many sorts of statistical hypothesis tests. And then will be able to differentiate between the t-test and the z-test. Furthermore, it will be extremely beneficial in understanding and inferring the various models and algorithms used in data science and machine learning. In a nutshell, if you want to advance your careers in data science and machine learning, this is one of the online statistics classes you should take.
#12. Intro to Statistics
Statistics is the process of deriving meaning from data. This is one of the free online statistics classes that present ways for visualizing relationships in data as well as systematic techniques for analyzing the relationships using mathematics in this class. This course will cover visualization, probability, regression, and other subjects to help you grasp the fundamentals of data analysis using statistics.
#13. Statistical Thinking for Data Science and Analytics
Do you want to learn how statistics plays a central role in the data science approach? take this free online course! This statistics and data analysis course will lay the statistical groundwork for our data science conversation. You will learn how data scientists use statistical reasoning to design data collection, draw insights from data visualization, get supporting evidence for data-driven decisions, and build models to forecast future trends from data. All you need is High School Math and some exposure to computer programming.
#14. Learn how to use statistics step by step
This course is the cornerstone of statistics, as understanding it will be useful throughout the statistical analysis. This free online course teaches many statistical parameters such as central tendency, deviation measure, variance, standard deviation, moment, skewness, and kurtosis. However, these parameters are used to completely explain a statistical variable as well as to grasp different frequency distribution curves, their skewness, and kurtosis with simple explanations and examples. It also teaches how to explore distribution inequalities graphically and how to measure them using the Lorenz curve and Ginni’s index.
#15. Statistics, Probability, and Cognitive Bias: An Introduction
Do you wish to be able to view the world more clearly? How about learning to think like a statistician and questioning the numbers all around you? Make better choices at work, in investments, and in life? Then this online course is for you! The online statistics course concentrates on statistics’ intuition and practical application in making better decisions and conclusions. You will learn how to avoid being duped by data visualizations and how understanding probability may transform your perspective on everything from criminal prosecution to financial disasters.
#16. Basic Statistics for Engineers
Basic Statistics for Engineers is one of the best online statistics classes for beginners. The course covers the fundamentals of statistics, statistical types, and descriptive statistics such as measures of central tendencies, statistical dispersion, and statistical form. While taking this course, you will learn about the normal distribution and how to standardize it as a learner. Moreso, you will also learn how to perform hypothesis testing for a population and a sample, for a two-tailed and a one-tailed test, and how to use p-values and confidence intervals. In a nutshell, this course will help you to be acquainted with statistics and able to apply what you’ve learned in the classroom to real-world situations.
#17. Statistics 001 for Business Analytics and Data Science
Statistics 001 for Business Analytics and Data Science is one of the best online statistics courses that can help anyone excel in the statistic world. This course is specifically designed for data analysts, business intelligence analysts, data scientists, and marketing analysts who need statistical knowledge for their business.
#18. SPSS Statistics Essential Training
SPSS Statistics Essential Training is one of the best online statistics classes right for or first-time researchers and those who want to use data effectively in their professional and academic activities. This course covers all of the fundamentals, with a focus on clarity, interpretation, communicability, and applicability At the completion of this course, you will be acquainted with statistics and able to apply what you’ve learned in the classroom to real-world situations.
#19. MathTrackX: Statistics
Do you want to understand fundamental concepts relating to statistical inference and how they can be applied to solve real-world problems? This free online course is right for you! Basically, this free statistic online class for beginners is part six of the MathTrackX XSeries Program, which is meant to provide you a firm foundation in mathematical foundations and how to apply them in the real world. It will supplement prior statistics classes online in the MathTrackX XSeries’ knowledge of probability and random variables with a study of statistical inference, one of the most essential aspects of statistics.
In Conclusion
With any of the best Online Statistics Classes listed above, you can gain that foundational knowledge of statistics you need to build a long-lasting career as a statistician or even a data analyst.
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