Free online courseApplied Statistics
Duration of the online course: 16 hours and 31 minutes
New course
Enroll in a comprehensive free online course on Applied Statistics. Learn data classification, probability, confidence intervals, hypothesis testing, regression analysis, and more.
Course Description
Welcome to "Applied Statistics," an intensive 16-hour and 31-minute course designed to introduce you to the foundational concepts and practical applications of statistics. Although it currently has no reviews, this course is an essential starting point for anyone looking to build a solid understanding of statistical methods and their uses.
This course begins with an introduction to the fundamentals of statistics, covering topics such as classifying data and understanding different types of statistical studies, including experiments and observational studies. You will also learn how to critique published studies, ensuring you develop a critical eye for evaluating data and research findings.
Understanding data distribution is crucial, and this course delves into frequency distributions and various methods for displaying both qualitative and quantitative data. Additionally, you will learn how to analyze graphs to extract meaningful insights.
Measures of center and spread are essential concepts in statistics. You will explore how to calculate and interpret measures of center, such as mean and median, and measures of spread, including range, variance, and standard deviation. The course also introduces you to the Empirical Rule, Chebyshev's Theorem, and measures of relative position like z-scores and box plots.
Probability is a fundamental aspect of statistics, and this course provides a comprehensive introduction to probability rules, including the addition and multiplication rules, as well as permutations and combinations. You will practice calculating probabilities and learn about different probability distributions, such as binomial, Poisson, and hypergeometric distributions.
The normal distribution is a cornerstone of statistical analysis. This course covers the properties of the normal distribution, calculating areas under the curve, and determining probabilities. You will also learn how to approximate binomial distributions using the normal distribution and apply the Central Limit Theorem to means and proportions.
Confidence intervals are a key concept in inferential statistics. You will be introduced to constructing confidence intervals for population means and proportions, using both known and unknown standard deviations. The course also covers the Student's t-distribution, which is crucial for small sample sizes.
Comparing two populations is a common statistical task. This course guides you through comparing means and proportions for two populations, including cases with known and unknown variances, and dependent or paired samples.
Hypothesis testing is a critical skill in statistics. You will learn how to formulate and test hypotheses, interpret conclusions, and understand errors in testing. The course covers one-tailed and two-tailed tests for population means and proportions, as well as tests for two sample means with equal and unequal variances.
Finally, you will explore the relationship between variables through scatter plots, correlation, and linear regression. The course covers determining statistical significance for the Pearson correlation coefficient, creating and interpreting the Least Squares Regression Line (LSRL), and analyzing linear and multiple regression models, including prediction and confidence intervals.
Embark on this comprehensive journey through applied statistics and build the analytical skills you need to succeed in various fields requiring statistical expertise.
Conteúdo do Curso
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Video class: Statistics - 1.1 Intro to Statistics
0h13m
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Exercise: In the context of statistics, which of the following statements best describes a parameter?
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Video class: Statistics - 1.2 Classifying Data
0h14m
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Video class: Statistics - 1.3.1 Introduction to Statistical Studies
0h08m
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Exercise: In a statistical study aiming to analyze the impact of a new fertilizer on plant growth, what is the primary goal of the study?
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Video class: Statistics - 1.3.3 Experiments
0h12m
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Video class: Statistics - 1.3.2 Observational Studies
0h12m
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Exercise: Which of the following best describes a stratified sampling method?
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Video class: Statistics - 1.4 Critiquing a Published Study
0h06m
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Video class: Statistics - 2.1 Frequency Distributions
0h19m
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Exercise: Which of the following is true about frequency distributions?
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Video class: Statistics - 2.2.1 Displaying Qualitative Data
0h09m
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Video class: Statistics - 2.2.2 Displaying Quantitative Data
0h13m
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Exercise: What type of display shows quantitative data using a continuous number line and bars that represent frequency for each range of values?
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Video class: Statistics - 2.3 Analyzing Graphs
0h06m
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Video class: Statistics - 3.1 Measures of Center
0h20m
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Exercise: Which measure of center should be used when dealing with skewed data that contains outliers?
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Video class: Statistics - 3.2.1 Measures of Spread or Dispersion
0h16m
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Video class: Statistics - 3.2.2 Empirical Rule and Chebyshev's Theorem
0h10m
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Exercise: The empirical rule describes the distribution of values in a normal distribution. If a normal distribution has a mean of 500 and a standard deviation of 100, what percentage of data would fall between 400 and 600?
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Video class: Statistics - 3.3.1 Measures of Relative Position
0h16m
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Video class: Statistics - 3.3.2 Box Plots and the 5-Number Summary
0h13m
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Exercise: When interpreting a box plot, what does the interquartile range (IQR) represent?
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Video class: Statistics - 3.3.3 Intro to Z-Scores
0h12m
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Video class: Statistics - 4.1 Intro to Probability
0h20m
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Exercise: What is the probability that in two coin tosses, at least one of them comes up heads?
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Video class: Statistics - 4.2 Addition Rule for Probability
0h20m
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Video class: Statistics - 4.3 Multiplication Rule for Probability
0h16m
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Video class: Statistics - 4.4 Permutations and Combinations
0h19m
Applied Statistics
Free Applied Statistics Courses
Welcome to our curated list of free courses on Applied Statistics! Whether you're a student, professional, or simply someone with a keen interest in understanding data, these courses will equip you with the necessary skills to analyze and interpret statistical data effectively. Applied Statistics is a crucial subcategory of Statistics, focusing on practical application of statistical methods to real-world problems. Dive into our selection of free courses and start your journey in Applied Statistics today!
Why Study Applied Statistics?
Applied Statistics is essential for making informed decisions based on data. It is widely used in various fields such as business, healthcare, engineering, social sciences, and more. By mastering Applied Statistics, you can enhance your ability to understand trends, make predictions, and contribute to data-driven decision-making processes.
Top Free Applied Statistics Courses
- Introduction to Applied Statistics - This beginner-friendly course covers the basics of applied statistics, including data collection, analysis, and interpretation. Perfect for those new to the subject.
- Statistical Inference and Modeling - Learn about statistical inference, hypothesis testing, and modeling techniques with this comprehensive course. Ideal for intermediate learners.
- Regression Analysis and Statistical Modeling - Dive deeper into regression analysis and various statistical models used in applied statistics. Suitable for advanced learners.
- Applied Multivariate Analysis - Explore multivariate statistical methods and their applications in real-world scenarios. Recommended for those with a solid foundation in statistics.
- Time Series Analysis - Understand the principles of time series analysis and how to apply them to forecast data trends over time. Great for learners interested in temporal data analysis.
- Bayesian Statistics - Discover the concepts of Bayesian statistics and how they differ from traditional frequentist approaches. Perfect for those looking to expand their statistical toolkit.
Benefits of Enrolling in Free Applied Statistics Courses
Enrolling in free Applied Statistics courses offers numerous benefits:
- Cost-effective Learning: Access high-quality education without any financial burden.
- Flexibility: Learn at your own pace and schedule, making it convenient for busy professionals and students.
- Skill Enhancement: Gain practical skills that are highly valued in various industries.
- Career Advancement: Improve your job prospects and open up new career opportunities in data analysis and related fields.
Conclusion
Applied Statistics is a valuable skill set that can significantly enhance your ability to make data-driven decisions. Our selection of free courses provides an excellent opportunity to learn and master this important subject without any financial commitment. Start exploring our list of free Applied Statistics courses today and take the first step towards becoming proficient in statistical analysis and data interpretation.
Don't miss out on these free learning resources that can help you achieve your educational and career goals in the field of Applied Statistics!
This free course includes:
16 hours and 31 minutes of online video course
Exercises to train your knowledge
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