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Calculus through Data & Modeling

Applying Differentiation

Joseph W. Cutrone, PhD

4.7

Based on 59 ratings

, see reviews

Joseph W. Cutrone, PhD

As rates of change, derivatives give us information about the shape of a graph. In this course, we will apply the derivative to find linear approximations for single-variable and multi-variable functions. This gives us a straightforward way to estimate functions that may be complicated or difficult to evaluate. We will also use the derivative to locate the maximum and minimum values of a function. These optimization techniques are important for all fields, including the natural sciences and data analysis. The topics in this course lend themselves to many real-world applications, such as machine learning, minimizing costs or maximizing profits.

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What's inside

Syllabus

Linear Approximations and Tangent Planes

In single variable calculus, the derivative computes the slope of the tangent line where defined. This is then used to create the equation of the tangent line at a point, which can be used as an accurate estimation tool for complicated functions. This theory generalizes to lines in space which are used to create tangent planes. In this module, we work through the formulas and applications of these notions, using our developed theory of derivatives and partial derivatives.

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Develops solid foundation in mathematical keystones, including limits and derivatives

Strengthens existing foundation in single-variable and multi-variable calculus

Provides a strong and useful foundation for both academia and industry roles

Teaches tools that are essential to all fields, including data analysis and the natural sciences

Builds a strong base for optimization techniques, which are crucial for decision making

Taught by an experienced and accomplished PhD holder

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Reviews summary

Applied calculus for data & optimization

According to learners, this course offers a highly relevant and practical application of calculus, particularly for those in data science and machine learning. Students frequently highlight how the curriculum, including modules on Lagrange Multipliers, effectively bridges the gap between theory and real-world problems. The instructor's explanations are consistently clear, making complex topics manageable. Many find the final optimization project rewarding and challenging, providing a hands-on opportunity to apply concepts. However, some reviewers caution that the course assumes a solid prerequisite math background, advising against it for those needing a comprehensive refresher, as the pacing can be uneven or too fast in parts.

The capstone project is practical and highly rewarding.

"The real-world examples, especially the optimization project, solidified my understanding."

"The final project was challenging but rewarding, making me think critically about real-world scenarios."

"The final project was a highlight – it was practical and really tested my ability to apply the concepts."

The instructor makes complex topics easy to grasp.

"I especially enjoyed how the instructor explained complex topics clearly."

"The explanations are crystal clear, and the real-world applications truly resonate. The instructor is phenomenal, breaking down complex ideas into manageable pieces."

"The instructor truly understands how to teach complex math in an applied way."

Excellent for applying calculus to data and optimization.

"This course was incredibly well-structured and highly relevant for anyone looking to apply calculus in a data science context."

"The emphasis on practical applications rather than just rote memorization was fantastic. The way concepts like derivatives are used for optimization in machine learning was eye-opening."

"As a data professional, I frequently use these concepts, but this course provided a much deeper and more intuitive understanding of the underlying calculus. The practical examples are gold."

Some felt the data aspect was not fully integrated.

"I felt the 'data & modeling' aspect was not as integrated as I hoped, it felt more like a traditional calculus course with some examples."

"The overall connection to data science wasn't always obvious without prior knowledge."

"While the idea of 'calculus through data' is appealing, the delivery was too fast for me to grasp the real world connection fully."

Requires a solid calculus foundation; not a beginner's course.

"The course has good intentions, linking calculus to data, but it assumes a stronger math background than I had. I struggled with some of the derivations..."

"I found this course quite difficult... It would be helpful if there were more foundational review material or simpler examples for beginners. I think it's better for those with a solid math background, not for a refresher."

"My only minor critique is that the pacing felt a bit uneven at times, with some sections moving very quickly through complex material."

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 Calculus through Data & Modeling: Applying Differentiation with these activities:

Review Calculus Fundamentals

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Understand the core concepts of calculus necessary for this course

Browse courses on Calculus

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Review the definition of a function
Practice finding the limit of a function
Review the definition of a derivative
Practice applying the derivative to find the slope of a function

Review 'Single Variable Calculus' by James Stewart

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Reinforce differentiation concepts through a comprehensive textbook

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Read the relevant chapters on differentiation
Solve the practice problems in the textbook

Watch Video Tutorials on Differentiation

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Gain a visual understanding of differentiation concepts

Browse courses on Differentiation

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Search for online video tutorials on differentiation
Choose a tutorial that aligns with your learning style
Take notes on the key concepts covered in the tutorial

Four other activities

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Solve Differentiation Practice Problems

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Apply and reinforce differentiation skills

Browse courses on Differentiation

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Find practice problems from textbooks or online resources
Solve the problems without using a calculator
Check your answers and identify areas for improvement

Create a Concept Map of Differentiation

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Visualize and connect different concepts related to differentiation

Browse courses on Differentiation

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Identify the main concepts of differentiation
Draw a mind map or diagram connecting these concepts
Add details and examples to illustrate each concept

Participate in a Study Group for Differentiation

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Collaborate with peers to clarify concepts and improve understanding

Browse courses on Differentiation

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Find a study group or create one with classmates
Discuss differentiation concepts, ask questions, and work on problems together

Contribute to an Open-Source Differentiation Project

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Develop practical skills and contribute to the community

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Identify open-source projects related to differentiation
Contribute code, documentation, or other resources to the project

Career center

Learners who complete Calculus through Data & Modeling: Applying Differentiation will develop knowledge and skills that may be useful to these careers:

Data Analyst

Data Analysts gather, organize, and interpret large amounts of data. As the data landscape rapidly changes, so does the need to develop new tools and techniques for collecting and understanding data. The methods and concepts covered in the course “Calculus through Data & Modeling: Applying Differentiation” will help provide a foundation for your work in this field. Specifically, the course’s emphasis on applying calculus through data and modeling will provide you with a strong foundation in the mathematical tools essential to the success of any Data Analyst, such as linear approximations, maxima and minima of single- and multivariable functions, and Lagrange multipliers.

See salaries and explore the career path for Data Analyst

Data Scientist

Data Scientists design, implement, and evaluate systems and algorithms that can be used to extract value from data. Calculus is an essential mathematical tool for data scientists, as it provides a way to model complex relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” aims to provide you with the necessary skills in applying calculus to data analysis and modeling. This includes understanding linear approximations, maxima and minima of single- and multivariable functions, and Lagrange multipliers. These concepts are essential for developing and analyzing data-driven models in various domains such as natural sciences, machine learning, and finance.

See salaries and explore the career path for Data Scientist

Machine Learning Engineer

Machine Learning Engineers design, build, and maintain machine learning models. Machine Learning is a subfield of Artificial Intelligence that gives computers the ability to learn without being explicitly programmed. Calculus plays a significant role in understanding and applying Machine Learning algorithms, particularly those that use gradient-based optimization techniques. The course “Calculus through Data & Modeling: Applying Differentiation” provides a strong foundation in calculus that will be essential for your success as a Machine Learning Engineer. This includes learning about linear approximations, maxima and minima of single- and multivariable functions, and Lagrange multipliers.

See salaries and explore the career path for Machine Learning Engineer

Operations Research Analyst

Operations Research Analysts use mathematical and analytical methods to solve complex problems in business and industry. Calculus is an essential tool for Operations Research Analysts in areas such as optimization, scheduling, and forecasting. The course “Calculus through Data & Modeling: Applying Differentiation” will help provide you with a strong foundation in the mathematical tools needed for success in this field. In particular, the course’s focus on applying calculus to data and modeling will be very valuable for understanding and solving real-world problems.

See salaries and explore the career path for Operations Research Analyst

Financial Analyst

Financial Analysts use mathematical and analytical skills to evaluate and make recommendations on investments. Calculus is an important tool for Financial Analysts, as it can be used to model and analyze financial data. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving financial problems.

See salaries and explore the career path for Financial Analyst

Quantitative Analyst

Quantitative Analysts use mathematical and statistical models to analyze and predict financial data. Calculus is an essential tool for Quantitative Analysts, as it provides a way to model complex financial relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” can help builda foundation in the mathematical tools that are essential for success in this field. The course’s focus on applying calculus to data and modeling will be particularly valuable for understanding and solving financial problems.

See salaries and explore the career path for Quantitative Analyst

Actuary

Actuaries use mathematical and statistical models to assess risk and uncertainty. Calculus is an essential tool for Actuaries, as it provides a way to model complex relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving problems related to risk and uncertainty.

See salaries and explore the career path for Actuary

Statistician

Statisticians use mathematical and statistical models to collect, analyze, and interpret data. Calculus is an essential tool for Statisticians, as it provides a way to model complex relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving statistical problems.

See salaries and explore the career path for Statistician

Economist

Economists use mathematical and statistical models to analyze economic data and make predictions about the economy. Calculus is an essential tool for Economists, as it provides a way to model complex economic relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving economic problems.

See salaries and explore the career path for Economist

Operations Manager

Operations Managers plan and oversee the operations of organizations. Calculus can be a valuable tool for Operations Managers, as it can be used to optimize processes and improve efficiency. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s focus on applying calculus to data and modeling will be particularly valuable for understanding and solving operational problems.

See salaries and explore the career path for Operations Manager

Business Analyst

Business Analysts use mathematical and analytical skills to solve business problems. Calculus can be a valuable tool for Business Analysts, as it can be used to model and analyze business data. The course “Calculus through Data & Modeling: Applying Differentiation” can help builda foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving business problems.

See salaries and explore the career path for Business Analyst

Market Researcher

Market Researchers use mathematical and statistical models to collect, analyze, and interpret market data. Calculus can be a valuable tool for Market Researchers, as it provides a way to model complex market relationships and solve optimization problems. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving market research problems.

See salaries and explore the career path for Market Researcher

Financial Planner

Financial Planners use mathematical and analytical skills to help clients plan for their financial future. Calculus can be a valuable tool for Financial Planners, as it can be used to model and analyze financial data. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving financial planning problems.

See salaries and explore the career path for Financial Planner

Software Engineer

Software Engineers design, develop, and maintain software systems. Calculus can be a valuable tool for Software Engineers, as it can be used to model and analyze software systems. The course “Calculus through Data & Modeling: Applying Differentiation” can help provide you with a strong foundation in the mathematical tools that are essential for success in this field. The course’s emphasis on applying calculus to data and modeling will be particularly valuable for understanding and solving software engineering problems.

See salaries and explore the career path for Software Engineer

Reading list

We've selected 14 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 Calculus through Data & Modeling: Applying Differentiation.

Mathematical Analysis, Second Edition

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Provides a rigorous treatment of calculus, making it a great choice for students who want to develop a deep understanding of the subject. It is particularly helpful for those who are planning to pursue a career in mathematics or a related field.

Classics of Russian Mathematics: Dzorich Course in...

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Essential Calculus

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Provides a comprehensive overview of calculus, covering topics such as limits, derivatives, integrals, and applications. It valuable resource for students who want to supplement their learning in this course.

Calculus through Data & Modeling

Applying Differentiation

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What's inside

Syllabus

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Reviews summary

Applied calculus for data & optimization

Activities

Career center

Reading list

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