Picture this: You’re lounging on your favorite couch with a hot cup of coffee, wrapped up in a cozy blanket, and ready to dive into the world of statistics. No, I’m not talking about your high school math class filled with terrifying formulas and mind-boggling theories. I’m referring to a more user-friendly and enjoyable side of statistics through the miracle of online courses! In today’s fast-paced digital world, it’s essential to be well-versed in data analysis, and what better way to learn than from the comfort of your own home?
Whether you’re a business professional looking to sharpen their analytical skills to make data-driven decisions or just someone curious about the field, you’ve come to the right place. In this blog post, we’re going to help you navigate the plethora of online statistical courses available at your fingertips. From the basics to advanced analysis, our curation covers it all so you can make a well-informed decision. Read on as we provide insights, reviews, and comparisons to fast-track your journey to statistical prowess!
Statistics Courses – Table of Contents
- Become a Probability & Statistics Master
- Statistics: A Step-by-step Introduction
- Statistics & Mathematics for Data Science & Data Analytics
- Probability and Statistics: Complete Course 2023
- Statistics for Data Science and Business Analysis
- Master statistics & machine learning: intuition, math, code
- Essential Statistics for Data Analysis
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Become a Probability & Statistics Master
Platform:
Udemy
Rating:
4.7 out of 5
Ready to rock Probability and Statistics? Become a Probability & Statistics Master is a comprehensive 163-lesson course designed just for you! Including videos and text explanations, this course offers everything from data visualization to regression analysis, alongside 45 quizzes (with solutions) and an additional 8 workbooks for extra practice. Topics covered include bar graphs, Venn diagrams, analyzing data, data distributions, probability, discrete random variables, sampling, hypothesis testing and more.
As you progress, enjoy step-by-step video guidance, concise notes, and quizzes to test your newfound knowledge. Once you’re confident in the material, tackle the workbooks for extra practice and solidify what you’ve learned. Students are loving the course, praising Krista’s teaching style and the thorough explanations provided. With lifetime access to Become a Probability & Statistics Master, friendly support in the Q&A section, a Udemy Certificate of Completion, and a 30-day money-back guarantee, there’s no better time to enroll. Dive into mastering probability and statistics today with Krista!
Skills you’ll learn in this course:
- Visualizing data with various graphs and charts
- Analyzing data using measures of central tendency and dispersion
- Understanding data distributions and their parameters
- Mastering probability concepts, including conditional probability and Bayes’ theorem
- Working with discrete random variables and their distributions
- Implementing sampling techniques and understanding sampling distributions
- Conducting hypothesis testing using inferential statistics
- Analyzing relationships between variables through regression and correlation
Statistics: A Step-by-step Introduction
Platform:
Udemy
Rating:
4.9 out of 5
Skills you’ll learn in this course:
- Understanding common terminology and data visualization techniques
- Mastering basic probability and probability distributions
- Utilizing normal distribution and z-scores for probability calculations
- Conducting hypothesis tests with z-tests and t-tests for proportions and means
- Identifying Type I errors, critical values, and interpreting p-values
- Building confidence intervals and understanding their connection to hypothesis testing
- Performing chi-square tests for goodness-of-fit, homogeneity, and independence
- Gaining a basic understanding of correlation and simple linear regression
Statistics & Mathematics for Data Science & Data Analytics
Platform:
Udemy
Rating:
4.6 out of 5
Are you looking to dive into the world of Data Science or Data Analytics but feel intimidated by the thought of having to know advanced math? Well, it turns out you don’t need a degree in Mathematics to understand the practical statistics required for the job. This online course offers the perfect chance for individuals interested in becoming Data Scientists or Data Analysts to develop a strong foundation in statistics and probability theory.
Taught by an experienced mathematician who also works as a data scientist, this course bridges both theory and real-life practical examples. It is designed to help you systematically master core concepts in probability, descriptive statistics, hypothesis testing, regression analysis, and even some advanced machine learning methods such as logistic regressions, decision trees, and more. By completing this course, you’ll possess the essential knowledge and confidence to conquer the fundamentals of statistics and probability required in data science and data analysis. Don’t let that lingering hesitation hold you back any longer. Enroll in this course today and take the first steps to advance your career!
Skills you’ll learn in this course:
- Core concepts in statistics and probability
- Descriptive statistics
- Hypothesis testing
- Regression analysis
- Analysis of variance
- Logistic regression
- Polynomial regression
- Decision trees and other advanced machine learning methods
Probability and Statistics: Complete Course 2023
Platform:
Udemy
Rating:
4.8 out of 5
Looking to dive into the world of probability and statistics? This beginner-friendly course is perfect for those who want to apply statistics in data science, business analytics, or any other field to make informed decisions. With a focus on practicality and hands-on learning, the course provides videos loaded with examples and explanations, ensuring you’re never left in the dark. Plus, all techniques are implemented in Microsoft Excel, so you can get started right away!
Throughout this comprehensive course, you’ll learn key concepts such as descriptive statistics, cleaning data, data visualization, probability, discrete and continuous distributions, hypothesis tests, regression, quality of tests, and chi-squared tests. Don’t sweat it if you’re new to the game—prior knowledge isn’t required (though, there are two optional videos in the continuous distribution chapter that will require knowledge of calculus). So why wait? Enhance your understanding of probability and statistics while gaining some valuable Excel experience!
Skills you’ll learn in this course:
- Descriptive Statistics: Understanding averages, measures of spread, correlation.
- Cleaning Data: Identifying and removing outliers.
- Data Visualization: Mastering standard techniques for visualizing data in Excel.
- Probability: Grasping independent events, conditional probability, and Bayesian statistics.
- Discrete Distributions: Learning binomial, Poisson, expectation, variance, and approximations.
- Continuous Distributions: Comprehending normal distribution, central limit theorem, and continuous random variables.
- Hypothesis Tests: Conducting tests using binomial, Poisson, normal distributions, T-tests, and confidence intervals.
- Regression: Implementing linear regression analysis, correlation testing, and non-linear regression models.
Statistics for Data Science and Business Analysis
Platform:
Udemy
Rating:
4.6 out of 5
Are you looking to work as a Marketing Analyst, Business Intelligence Analyst, Data Analyst, or Data Scientist? If so, the online course “Statistics for Data Science and Business Analysis” is perfect for you! With templates in Excel included, this comprehensive and easy-to-understand course will equip you with the fundamental skills to comprehend complex statistical analyses and their real-life applications.
This engaging course covers all major statistical topics and skills required for a successful career in data science, including data visualization, quant research, and more. High-quality animations, course materials, quiz questions, handouts, and a glossary are just a few of the perks subscribers can enjoy. Plus, the instructor provides excellent support, ensuring you receive a response within one business day if assistance is needed. With expert knowledge, dynamic pacing, and extensive case studies, this course stands out from the rest, setting you on the path to a secure, challenging, and potentially high-paying career in the data science field. Sign up today and take advantage of Udemy’s 30-day unconditional money-back guarantee. So why wait? Click ‘Buy now’ and start learning together today!
Skills you’ll learn in this course:
- Understanding complicated statistical analysis
- Data visualization techniques
- Quantitative research methodology
- Critical thinking abilities
- Interpretation of statistical results
- Application of statistical tests
- Use of data analytics software/tools
- Communication of quantitative findings
Master statistics & machine learning: intuition, math, code
Platform:
Udemy
Rating:
4.7 out of 5
Are you looking to boost your knowledge and skills in statistics, machine learning, and data science? Well then, this comprehensive course has got you covered! It delves into the fundamentals you need to future-proof yourself in various technical fields such as data science, engineering, and artificial intelligence. By the end of this course, you’ll be well-equipped to understand a wide range of statistical and machine-learning analyses with a solid foundation in mathematical concepts and hands-on coding explorations.
To get the most out of this course, it’s recommended to have high-school level maths knowledge and basic coding skills in Python or MATLAB. Don’t worry if you are a beginner; you don’t need any previous experience with statistics, machine learning, or data science. The course is maintained regularly and contains a Q&A section for any questions you may have along the way. So, go ahead and watch the preview videos, read the reviews, and invest in your brain by learning from this fantastic course!
Skills you’ll learn in this course:
- Understanding the fundamentals of statistics, machine learning, and data science.
- Gaining proficiency in probability theory, confidence intervals, k-means clustering, and PCA.
- Learning to apply statistical methods, such as Spearman correlation and logistic regression, in programming languages like Python and MATLAB.
- Developing a strong foundation in mathematical rigor and intuitive explanations.
- Gaining experience in hands-on coding exercises for better concept retention.
- Mastering the basics necessary to understand advanced statistical and machine-learning analyses.
- Enhancing problem-solving and critical thinking skills in various technical fields.
- Being able to effectively participate in discussions and learning from Q&A sections in the course.
Essential Statistics for Data Analysis
Platform:
Udemy
Rating:
4.7 out of 5
If you’re looking to dive into the world of statistics and data analysis using simple tools like Microsoft Excel, this hands-on, project-based course is perfect for you. You don’t need any background in math or stats to get started, as the course aims to simplify and demystify statistics for everyday people. The course begins by discussing the role of statistics in business intelligence, exploring descriptive statistics and probability distributions, delving into the central limit theorem, and touching on confidence intervals and hypothesis tests.
But there’s more! Throughout the course, you’ll take on the role of a Recruitment Analyst for Maven Business School, using the statistical techniques you’ve learned to explore student data and make predictions about future classes. Alongside, you’ll practice your skills through 5 real-world bonus projects, such as analyzing data from restaurants, medical centers, and airlines. With 7.5 hours of high-quality video, a 150+ page PDF ebook, downloadable Excel project files, expert support, and a 30-day satisfaction guarantee, you’ll be well-equipped to make smart, data-driven decisions in your professional life. Happy learning!
Skills you’ll learn in this course:
- Understanding and applying essential statistics concepts for data analysis and business intelligence.
- Using descriptive statistics and probability distributions to explore data.
- Applying the central limit theorem to make inferences about populations.
- Estimating with confidence intervals and using hypothesis tests to evaluate assumptions about population parameters.
- Introduction to regression analysis and differentiating between correlation and causation.
- Making predictions using basic linear regression models with Excel’s Analysis Toolpak.
- Exploring various real-world business data and applying statistical techniques.
- Enhancing decision-making skills using statistical tools for better business intelligence.
In conclusion, taking on statistics online courses offers an incredibly flexible and accessible way to upskill, grow your knowledge, and increase your value within your industry. No matter if you’re a student seeking additional support, a professional aiming for a promotion, or someone considering a career switch, there truly is a course out there that fits your needs and schedule. Don’t let a lack of time or location limit your potential – dive right in and enrich your skills with some of the best online learning platforms available.
Moreover, the digital nature of these courses doesn’t mean compromising on quality – many reputable institutions and expert instructors are now offering their statistical prowess via online platforms. From beginner courses to advanced topics, there’s something for everyone. So, do your research, explore the various options we’ve discussed in this blog post, and choose the one that aligns with your goals and situation. Set yourself up for a successful statistical journey and discover the wide-ranging benefits of acquiring these numerical skills online. Happy learning!