Online statistics courses are now more accessible than ever before. All thanks to the Internet. Whether you want to start a new job, learn new abilities, or improve on the one you already have, there is an online statistic course that can help you.
This post has compiled a list of the Top Statistics Courses Online for students who wish to learn critical skills to help them grow in their statistics careers. Beginners and advanced students can take these classes.
As a result, studying any of the online statistics courses listed below is worth considering if you want to learn how to evaluate data all around you or pursue your ideal job as a student, statistician, or researcher.
Table of contents
- What is Statistics?
- Why take Online Statistics Courses?
- Why is Statistics Important?
- Top Statistics Courses Online in 2023
- #1. Statistics for Data Science and Business Analysis
- #2. Statistics for Business Analytics and Data Science A-Z
- #3. Data Science Tools – Statistical Hypothesis Testing-1
- #4. Learn how to Use Statistics Step-by-step
- #5. Jamovi: A Powerful R-based Statistical Analyses Tool
- #6. Probability and Statistics in Data Science using Python
- #7. Statistical Data Analysis with Java
- #8. Workshop in Probability and Statistics
- #9. Course & Practical SAS, Statistics & Data Analysis Course
- #10. Statistics with R Specialization
- Conclusion
- References
- Recommendations
What is Statistics?
The study of data is the subject of statistics, which is a branch of mathematics. Data sets can comprise population data derived from machine learning, sample distributions, survey results, data analysis, normal distribution, hypothesis testing, data from research, and much more.
Why take Online Statistics Courses?
There are a plethora of reasons you take online statistics courses. Besides being really adaptable, there are other advantages which I will list below.
- Statistics courses online will equip you with a thorough mathematical comprehension of the ideas and notions that are not always put into practice
- Online statistics course will noost your computer science skills
- These courses will help you overcome application obstacles by allowing you to use computer jargons
- They will help build your analytical, interpolation, data purification, and data crunching skills.
Why is Statistics Important?
Statistics is important because it allows you to understand a small group’s characteristics in relation to a larger population.
Through statistics, you can also learn about a large group of people without having to collect data from everyone.
Top Statistics Courses Online in 2023
#1. Statistics for Data Science and Business Analysis
Is statistics important in the industry you wish to work in? Are you interested in working as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist?
This Udemy statistics online course is all you need to get started. It will teach you the core skills you need to understand the complex statistical analysis that is directly applicable to real-life scenarios.
As one of the top statistics online courses available at a friendly rate on Udemy, it’ll give you really valuable stepping stones to take you on the right path.
#2. Statistics for Business Analytics and Data Science A-Z
While the journey to learning statistics may be a really daunting one to start, you find out that when you eventually start, it wasn’t as difficult as you envisaged.
This online statistics course will give you an important knowledge base on very practical courses.
Also, you’ll learn about distributions, the z-test, the Central Limit Theorem, hypothesis testing, confidence intervals, statistical significance, and lots more.
So, what’s keeping you from giving your career the boost it needs?
Read Also: 10 Free Online Finance Courses With Certificates In 2023
#3. Data Science Tools – Statistical Hypothesis Testing-1
Did you know hypothesis testing is one of the most important subjects in statistics especially inferential statistics?
In this online statistics course, you’ll learn to calculate the mean, proportion, differences in means.
You’ll also learn how to construct and test hypotheses step-by-step. They will learn how to perform a variety of statistical hypothesis tests. Then you can tell the difference between a t-test and a z-test.
In a word, this is one of the online courses in statistics you should take if you want to develop your career in data science and machine learning.
Yes, it goes for a fee of about $20 and requires about 4 hours.
#4. Learn how to Use Statistics Step-by-step
This course is the foundation of statistics since it will be beneficial throughout the statistical analysis if you grasp it.
A good deal of statistical metrics is covered in this free online course on Udemy including central tendency, deviation measure, variance, standard deviation, moment, skewness, and kurtosis.
However, using easy explanations and examples, these factors are used to completely understand a statistical variable and grasp diverse frequency distribution curves, their skewness, and kurtosis.
It also teaches students how to visualize and measure distribution inequalities using the Lorenz curve and Ginni’s index.
#5. Jamovi: A Powerful R-based Statistical Analyses Tool
If you’re looking for a tool to help you get started on your research and analysis and have used Jamovi, this is one of your online statistics courses.
This course will summarize how to use Jamovi and its most important features. This course is unique because it does not require you to be a statistician or a specific researcher to take part. It’s up to every one of you!
#6. Probability and Statistics in Data Science using Python
One of the free online statistics courses with credentials is Probability and Statistics in Data Science with Python.
It’s a high-level online course covering probability and statistics basics. This course will teach you both the mathematical theory and how to apply it to real-world data using Jupyter notebooks.
People who read this article also read: 10 Free Online Finance Courses With Certificates In 2023
#7. Statistical Data Analysis with Java
Do you want to learn Java to model and visualize your data efficiently? This is the course you’ve been looking for!
This comprehensive course will show you how to apply basic analysis to your business needs, create time-series predictions, and use Java APIs to conduct statistical data analysis methodologies. After that, you’ll learn how to get the text, comprehend it, and evaluate it.
You’ll also learn how to use analysis methodologies to gain valuable insights from software programs after they’ve processed the data and a variety of java tools for visualizing data in various forms.
#8. Workshop in Probability and Statistics
With easy-to-understand explanations of all the subject’s most fundamental topics, this session helps you make sense of basic probability and statistics.
This workshop was designed with you in mind, whether you are starting from scratch or are in a statistics class and are having trouble with your assigned textbook or lecture content.
#9. Course & Practical SAS, Statistics & Data Analysis Course
Your decision to take this online course is not dependent on whether you’re getting started in data science or job hunting.
So, it’s a course with a full package in the likes of SAS programming, intuitive statistical interpretation, data analysis, and predictive modelling.
This all-encompassing course comprises over 150 lectures and 11 real-world case studies in several fields.
The potent weapon you need for the most enticing data analytics career path is this online statistics course.
#10. Statistics with R Specialization
You’ll learn to analyze and visualize data in R and create reproducible data analysis reports, demonstrate a conceptual understanding of the unified nature of statistical inference, perform frequentist and Bayesian statistical inference and modelling.
This is just so you understand natural phenomena and make data-based decisions, communicate statistical results correctly and in context without relying on statistical jargon, and critique data-based claims in this Specialization.
You’ll create a portfolio of data analysis projects from the Specialization that shows mastery of statistical data analysis from exploratory analysis to inference to modelling, which you may use to apply for statistical analysis or data scientist jobs.
Conclusion
You can get the core understanding of statistics you need to develop a long-term career as a statistician or even a data analyst by taking any of the top statistics courses online listed above.
References
- https://www.udemy.com/topic/statistics/
- https://www.coursera.org/specializations/statistics
- https://www.straighterline.com/online-college-courses/mathematics/introduction-to-statistics/
