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Finding Relationships in Data with R

Data Science and Machine Learning are rapidly growing fields that use scientific methods and processes to extract useful knowledge and insights from data. In this course, Finding Relationships in Data with R you will learn foundational knowledge of solving real world data science problems. First, you will learn the basics of discovering and visualizing relationships within data. Next, you will learn how correlation values and correlation matrices can be used to analyze relationships within data. Finally, you will explore how to understand and implement correlation matrices and dataframes using heatmaps and pairs plots. When you’re finished with this course, you will have the skills and knowledge of R needed to discover and understand relationships within data.

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Ideal for individuals seeking a solid foundation in data science and machine learning

Suitable for learners with an interest in extracting insights from data using scientific methods

Instructors Justin Flett bring valuable expertise in data science and machine learning

The course's emphasis on practical problem-solving equips learners with applicable skills

The focus on discovering relationships within data aligns closely with industry needs

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Career center

Learners who complete Finding Relationships in Data with R will develop knowledge and skills that may be useful to these careers:

Data Visualization Specialist

Data Visualization Specialists design and create visual representations of data to communicate insights and trends. Finding Relationships in Data with R can help build a foundation for this career by providing a basic understanding of data analysis and visualization techniques. The course will also teach you how to use correlation values and correlation matrices, which are commonly used by Data Visualization Specialists to analyze relationships within data.

See salaries and explore the career path for Data Visualization Specialist

Data Scientist

Data Scientists use scientific methods and processes to extract useful knowledge and insights from data for solving real-world problems. Finding Relationships in Data with R is a great starting point for those interested in data science. The course will teach you the basics of discovering and visualizing relationships within data. This is a foundational skill for Data Scientists, who often need to understand complex relationships within data to build predictive models or identify trends.

See salaries and explore the career path for Data Scientist

Statistician

Statisticians collect, analyze, interpret, and present data to help organizations make informed decisions. Finding Relationships in Data with R can help build a foundation for this career by providing a basic understanding of data analysis and visualization techniques. The course will also teach you how to use correlation values and correlation matrices, which are commonly used by Statisticians to analyze relationships within data.

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Machine Learning Engineer

Machine Learning Engineers build and maintain machine learning models to solve real-world problems. Finding Relationships in Data with R can help build a foundation for this career by providing a basic understanding of data analysis and visualization techniques. The course will also teach you how to use correlation values and correlation matrices, which are commonly used by Machine Learning Engineers to analyze relationships within data.

See salaries and explore the career path for Machine Learning Engineer

Market Researcher

Market Researchers collect and analyze data to understand market trends and consumer behavior. Finding Relationships in Data with R can help build a foundation for this career by providing a basic understanding of data analysis and visualization techniques. The course will also teach you how to use correlation values and correlation matrices, which are commonly used by Market Researchers to analyze relationships within data.

See salaries and explore the career path for Market Researcher

Business Analyst

Business Analysts help organizations understand their data to make informed decisions. Finding Relationships in Data with R can help build a foundation for this career by providing a basic understanding of data analysis and visualization techniques. The course will also teach you how to use correlation values and correlation matrices, which are commonly used by Business Analysts to analyze relationships within data.

See salaries and explore the career path for Business Analyst

Data Analyst

Data Analysts help organizations understand their data to make informed decisions. Finding Relationships in Data with R can help build a foundation for this career by teaching you how to discover and visualize relationships within data. Correlation values and correlation matrices, which are covered in the course, are used by Data Analysts to analyze relationships within data. This course may be particularly relevant for those interested in data analysis in the context of business or finance.

See salaries and explore the career path for Data Analyst

Financial Analyst

Financial Analysts help organizations make informed decisions about investments and financial planning. Finding Relationships in Data with R may be useful for those interested in financial analysis, as it provides a basic understanding of data analysis and visualization techniques.

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Epidemiologist

Epidemiologists study the distribution and patterns of health events and diseases in populations. Finding Relationships in Data with R may be useful for those interested in epidemiology, as it provides a basic understanding of data analysis and visualization techniques.

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Biostatistician

Biostatisticians apply statistical methods to solve problems in medicine and public health. Finding Relationships in Data with R may be useful for those interested in biostatistics, as it provides a basic understanding of data analysis and visualization techniques.

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Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve problems and improve decision-making in organizations. Finding Relationships in Data with R may be useful for those interested in operations research, as it provides a basic understanding of data analysis and visualization techniques.

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Actuary

Actuaries use mathematical and statistical methods to assess risk and uncertainty in insurance and finance. Finding Relationships in Data with R may be useful for those interested in actuarial science, as it provides a basic understanding of data analysis and visualization techniques.

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Data Engineer

Data Engineers design, build, and maintain data pipelines and infrastructure to support data analysis and machine learning. Finding Relationships in Data with R may be useful for those interested in data engineering, as it provides a basic understanding of data analysis and visualization techniques.

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Software Engineer

Software Engineers design, develop, and maintain software systems. Finding Relationships in Data with R may be useful for those interested in software engineering, as it provides a basic understanding of data analysis and visualization techniques. This course may be particularly relevant for those interested in software engineering in the context of data science or machine learning.

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Computer Scientist

Computer Scientists research and develop computer systems and software. Finding Relationships in Data with R may be useful for those interested in computer science, as it provides a basic understanding of data analysis and visualization techniques. This course may be particularly relevant for those interested in computer science in the context of data science or machine learning.

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The R Book

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Comprehensive reference guide to R, covering topics such as data manipulation, visualization, and modeling. It great resource for anyone who wants to learn more about the R language itself.