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Basic Descriptives using R Cmdr

In this 1-hour long project-based course, we will show you how to do basic descriptives using RCmdr .You will learn about measures of central tendency and dispersion. This project uses data about cereals that you eat and details about their sugar, fiber calorie content.

Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

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What's inside

Syllabus

Basic Descriptive statistics using Rcmdr

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Increases learners' descriptive statistics knowledge, which is foundational for most applications of data science and machine learning

Taught by Shalini Gopalkrishnan, who is recognized for their work in data science and statistics

Builds a strong foundation for beginners in descriptive statistics and data analysis

Uses a well-established data analysis tool (Rcmdr) that is widely used in industry

Focuses on practical applications of descriptive statistics using a real-world dataset

May not cover advanced topics in descriptive statistics that are needed for specialized applications (e.g., ANOVA, multivariate analysis)

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Activities

Be better prepared before your course. Deepen your understanding during and after it. Supplement your coursework and achieve mastery of the topics covered in Basic Descriptives using R Cmdr with these activities:

Review concepts of probability and data distribution

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Review concepts of probability and data distribution to strengthen foundational knowledge for further topics in the course.

Browse courses on Probability

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Recall basic concepts of probability (e.g., events, outcomes).
Review different types of data distributions (e.g., normal distribution).
Practice solving problems involving probability and distributions.

Review basic descriptive statistics

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Review basic descriptive statistics measures such as mean, median, mode, range, and standard deviation to strengthen foundational knowledge for this course.

Browse courses on Descriptive Statistics

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Review online tutorials on basic descriptive statistics.
Complete practice problems on calculating descriptive statistics.

Organize and review key concepts

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Organize and review course notes, assignments, and other materials to strengthen understanding of key concepts and reinforce learning.

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Review lecture notes and identify main concepts.
Organize notes into a logical structure.
Summarize key concepts in your own words.

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Explore online resources for descriptive statistics

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Explore online resources, such as tutorials, articles, and videos, to supplement understanding of descriptive statistics concepts.

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Search for online resources on descriptive statistics.
Review and take notes on the content.
Apply the knowledge gained to practice exercises.

Calculate descriptive statistics using R

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Practice using Rcmdr to calculate descriptive statistics on different datasets, reinforcing the concepts learned in the course.

Browse courses on RCmdr

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Load a dataset into Rcmdr.
Calculate measures of central tendency (mean, median, mode) using Rcmdr functions.
Calculate measures of dispersion (range, standard deviation, variance) using Rcmdr functions.

Solve practice problems on measures of dispersion

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Complete practice problems to improve understanding and proficiency in calculating and interpreting measures of dispersion.

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Review the concepts of range, standard deviation, and variance.
Solve practice problems involving the calculation of these measures.
Interpret the results and draw meaningful conclusions.

Participate in a study group or discussion forum

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Engage with peers in discussions or study groups to clarify concepts, exchange perspectives, and reinforce learning.

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Find a study group or discussion forum relevant to the course.
Participate actively in discussions.
Ask questions, share insights, and engage with others.

Create a visual representation of descriptive statistics

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Create a visual representation (e.g., infographic, chart, graph) of descriptive statistics from a given dataset to enhance understanding and retention of the concepts.

Browse courses on Descriptive Statistics

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Choose a relevant dataset.
Calculate descriptive statistics for the dataset.
Select an appropriate visual format (e.g., bar chart, scatter plot).
Create a visually appealing and informative representation of the data.

Develop a descriptive statistics project

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Design and execute a project that involves applying descriptive statistics techniques to analyze a dataset and draw meaningful conclusions.

Browse courses on Descriptive Statistics

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Identify a relevant dataset and research question.
Apply descriptive statistics techniques to analyze the data.
Interpret the results and draw conclusions.
Present the findings in a clear and concise manner.

Career center

Learners who complete Basic Descriptives using R Cmdr will develop knowledge and skills that may be useful to these careers:

Data Scientist

Data Scientists use statistical software to analyze trends, create models, and make predictions. Their goal is to help organizations solve complex problems and make better decisions. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Data Scientist

Data Analyst

Data Analysts use statistical software to analyze trends, collect data, and present information. Their goal is to provide useful insights to business stakeholders so that they can make data-driven decisions. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Data Analyst

Research Analyst

Research Analysts use statistical software to collect, analyze, and interpret data. Their goal is to provide insights on market trends, customer behavior, and product performance to help businesses make informed decisions. This course will help you develop the skills necessary for this role by teaching you how to use RCmdr to perform basic descriptive analyses.

See salaries and explore the career path for Research Analyst

Statistician

Statisticians use statistical software to collect, analyze, and interpret data. Their goal is to provide insights on trends, patterns, and relationships. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Statistician

Marketing Analyst

Marketing Analysts use statistical software to collect, analyze, and interpret data. Their goal is to help businesses understand their customers and develop effective marketing campaigns. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Marketing Analyst

Business Analyst

Business Analysts use statistical software to analyze trends, collect data, and present information. Their goal is to help businesses make informed decisions about their operations and strategies. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Business Analyst

Quality Assurance Analyst

Quality Assurance Analysts use statistical software to collect, analyze, and interpret data. Their goal is to help ensure that products and services meet quality standards. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Quality Assurance Analyst

Risk Manager

Risk Managers use statistical software to assess risk and uncertainty. Their goal is to help organizations identify and mitigate risks. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Risk Manager

Database Administrator

Database Administrators use statistical software to manage and maintain databases. Their goal is to help ensure that data is accurate, secure, and accessible. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Database Administrator

Financial Analyst

Financial Analysts use statistical software to analyze trends, create models, and make predictions. Their goal is to help organizations make informed decisions about their investments and financial strategies. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Financial Analyst

Operations Research Analyst

Operations Research Analysts use statistical software to analyze trends, identify problems, and develop solutions. Their goal is to help organizations improve their efficiency and effectiveness. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Operations Research Analyst

Data Engineer

Data Engineers use statistical software to design and develop data systems. Their goal is to help organizations collect, store, and analyze data. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Data Engineer

Actuary

Actuaries use statistical software to assess risk and uncertainty. Their goal is to help organizations make informed decisions about their insurance and financial strategies. This course will help prepare you for this role by providing you with a foundation in basic descriptive statistics using the RCmdr software.

See salaries and explore the career path for Actuary

Software Engineer

Software Engineers use statistical software to develop and test software applications. Their goal is to help organizations create reliable and efficient software. This course may provide a useful foundation in basic descriptive statistics using the RCmdr software for this role.

See salaries and explore the career path for Software Engineer

Web Developer

Web Developers use statistical software to design and develop websites. Their goal is to help organizations create user-friendly and effective websites. This course may provide a useful foundation in basic descriptive statistics using the RCmdr software for this role.

See salaries and explore the career path for Web Developer

Reading list

We've selected 15 books that we think will supplement your learning. Use these to develop background knowledge, enrich your coursework, and gain a deeper understanding of the topics covered in Basic Descriptives using R Cmdr.

Introduction to Probability and Statistics Using R

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Provides a comprehensive introduction to probability and statistics, with a focus on using R for data analysis. It covers the basics of probability, statistical inference, and regression analysis, and includes many examples and exercises.

Introduction to Probability and Statistics Using R

Paperback

The R Book

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Comprehensive guide to the R programming language. It covers all aspects of the language, from basic data manipulation to advanced statistical modeling. It valuable resource for both new and experienced R users.

Basic Descriptives using R Cmdr

What's inside

Syllabus

Good to know

Save this course

Activities

Career center

Reading list

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