Statistics with R – Beginner Level

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Statistics with R - Beginner Level

★★★★★

$49.99
$13.00  in stock

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Udemy.com

as of December 19, 2024 3:08 am

Basic statistical analyses using the R program

Created by: Bogdan Anastasiei
University Teacher and Consultant

Rating:4.46 (1579reviews)     122700students enrolled

What Will I Learn?

• manipulate data in R (filter and sort data sets, recode and compute variables)
• compute statistical indicators (mean, median, mode etc.)
• determine skewness and kurtosis
• get statistical indicators by subgroups of the population
• build frequency tables
• build cross-tables
• create histograms and cumulative frequency charts
• build column charts, mean plot charts and scatterplot charts
• build boxplot diagrams
• check the normality assumption for a data series
• detect the outliers in a data series
• perform univariate analyses (one-sample t test, binomial test, chi-square test for goodness-of-fit)

Requirements

• R and R studio
• knowledge of basic statistics

Target audience

• students
• PhD candidates
• academic researchers
• business researchers
• University teachers
• anyone looking for a job in the statistical analysis field
• anyone who is passionate about quantitative analysis

If you’ve ever wanted to harness the power of R for statistical analysis but found yourself daunted by complex formulas and data manipulation, “Statistics with R – Beginner Level” is the course you need. Designed for beginners and taught in a straightforward, approachable way, this course will have you running statistical analyses and creating compelling visualizations in no time. Whether you’re a student, researcher, or simply curious about data, this course provides everything you need to get started.

Key Features and Benefits

“Statistics with R – Beginner Level” is packed with essential features for a hands-on understanding of R. Here’s what you can expect to gain from it:

• Data Manipulation Skills: Learn to filter, sort, and recode data, ensuring you’re working with the most relevant data for your needs. With just a few lines of code, you’ll be able to transform datasets to fit any analysis.
• Comprehensive Statistical Tools: The course covers a range of statistical indicators, from basics like mean and median to advanced calculations like skewness and kurtosis. You’ll be able to summarize data both across entire datasets and within specific subgroups.
• Data Visualization Techniques: Understanding your data is much easier with visual aids, and this course teaches you how to create histograms, scatterplots, boxplots, and frequency tables in R. These visuals are invaluable for conveying insights and patterns to stakeholders.
• Univariate Analysis: Master essential statistical tests like the one-sample t-test, binomial test, and chi-square goodness-of-fit test, helping you conduct rigorous analyses even with limited data.

With 46 lectures divided into eight sections, each around five minutes long, the course is easily digestible and allows for quick progress through complex material. The course duration is a concise 2 hours and 48 minutes, making it manageable yet comprehensive for beginners.

Real User Experience

Pros and Cons

Alternatives

Compared to other beginner R courses, “Statistics with R – Beginner Level” is particularly well-suited for those who prioritize statistical applications over general programming in R. Some other courses, like “Data Science and Machine Learning with R,” offer broader coverage, including predictive modeling and machine learning, but they can be overwhelming for beginners who only need fundamental statistical analysis. If your primary goal is statistical analysis and visualization, this course will be more targeted and time-efficient.

Ideal User Profile

This course is a perfect fit for:

• Students and PhD Candidates: Those needing a quick but effective overview of R for data manipulation and analysis in academic settings.
• Business Researchers: Professionals looking to incorporate statistical insights into business decisions without an extensive data science background.
• University Teachers and Aspiring Analysts: Anyone looking to gain a foundational understanding of R to enhance their quantitative skills.
• Passionate Data Enthusiasts: If you love working with data and want to develop practical analysis skills, this course is for you.

Final Verdict

“Statistics with R – Beginner Level” is an excellent introductory course, offering a clear and concise path for beginners to grasp the essentials of statistical analysis in R. While it may not delve into advanced statistical techniques, it offers a strong foundation for anyone aiming to work with data in R. The course is available for around $12.99 on Udemy (prices can vary due to discounts), and considering the skills and knowledge you’ll gain, it’s a worthwhile investment.

For those looking to break into data analysis or enhance their research capabilities, “Statistics with R – Beginner Level” is a reliable starting point.