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Jane Wall
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions.
Read more
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions.
Read more
Are you interested in Data Science but lack the math background for it? Has math always been a tough subject that you tend to avoid? This course will teach you the most fundamental Calculus concepts that you will need for a career in Data Science without a ton of unnecessary proofs and techniques that you may never use. Consider this an expressway to Data Science with approachable methods and friendly concepts that will guide you to truly understanding the most important ideas in Differential Calculus. We will review some algebra basics, talk about what a derivative is, compute some simple derivatives and apply the basics of derivatives to graphing and maximizing functions.
This course is designed to prepare learners to successfully complete Statistical Modeling for Data Science Application, which is part of CU Boulder's Master of Science in Data Science (MS-DS) program.
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Register for this course and see more details by visiting:
OpenCourser.com/course/kr4dkz/algebra
What's inside
Syllabus
Functions and Algebra Review
Review of algebra concepts including functions and logarithms
Induction Proofs, Limits and Continuity
Simple induction proofs and limits at infinity for functions
Read more
Syllabus
Functions and Algebra Review
Review of algebra concepts including functions and logarithms
Induction Proofs, Limits and Continuity
Simple induction proofs and limits at infinity for functions
Read more
Definition of a Derivative
What is a derivative? Calculate simple derivatives from the definition of a derivative.
Product and Chain Rule
Use the product and chain rules to calculate the derivatives of more complicated functions.
Using Derivatives to Graph Functions
Use where derivatives are positive and negative to help graph a function.
Finding Maximums and Minimums
Use derivatives to find the maximum and minimum values of functions.
Good to know
Good to know
Know what's good ,
what to watch for , and
possible dealbreakers
Teaches fundamental Calculus without unnecessary proofs and techniques
Designed for learners lacking math background, particularly for Data Science career
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Save Algebra and Differential Calculus for Data Science to your list so you can find it easily later:
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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 Algebra and Differential Calculus for Data Science with these
activities:
Review Calculus Textbook
Show steps
Review the concepts of Calculus and Algebra that are necessary for success in this course.
View
Notetaking Guide for Stewart's Calculus: Early...
on Amazon
Show steps
-
Review the chapters on functions and algebra.
-
Review the chapters on limits and continuity.
-
Review the chapters on derivatives.
Watch Video Lectures on Calculus
Show steps
Reinforce your understanding of Calculus concepts by watching video lectures.
Browse courses on
Calculus
Show steps
-
Find video lectures online or on platforms like YouTube.
-
Watch the lectures and take notes.
-
Review the lectures and try to understand the concepts.
Find a Calculus Tutor or Mentor
Show steps
Connect with a mentor who can provide guidance and support in your Calculus learning journey.
Browse courses on
Calculus
Show steps
-
Reach out to your professor or TAs.
-
Ask classmates for recommendations.
-
Search for tutors or mentors online.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Differentiation Problems
Show steps
Solve differentiation problems to reinforce your understanding of derivatives.
Browse courses on
Derivatives
Show steps
-
Find practice problems online or in textbooks.
-
Solve the problems and check your answers.
-
Review the problems you got wrong and try to understand why you made mistakes.
Join a Study Group
Show steps
Discuss Calculus concepts and work on problems with other students.
Browse courses on
Derivatives
Show steps
-
Find a study group or create one with your classmates.
-
Meet regularly to discuss the course material.
-
Work on problems together and help each other understand the concepts.
Build a Data Visualization Project
Show steps
Apply your Calculus knowledge to a real-world problem by building a data visualization project.
Browse courses on
Data Visualization
Show steps
-
Choose a dataset and a question you want to answer.
-
Clean and prepare the data.
-
Use Calculus concepts to analyze the data.
-
Create visualizations to present your findings.
Write a Blog Post on Calculus Concepts
Show steps
Reinforce your understanding of Calculus concepts by writing a blog post explaining them to others.
Browse courses on
Calculus
Show steps
-
Choose a Calculus concept to write about.
-
Research the concept and gather information.
-
Write a blog post explaining the concept in a clear and concise way.
-
Publish your blog post online.
Contribute to Open-Source Calculus Projects
Show steps
Gain practical experience and contribute to the Calculus community by contributing to open-source projects.
Browse courses on
Calculus
Show steps
-
Find open-source Calculus projects on platforms like GitHub.
-
Identify areas where you can contribute.
-
Fork the project and make your changes.
-
Submit a pull request to the project.
Review Calculus Textbook
Show steps
Review the concepts of Calculus and Algebra that are necessary for success in this course.
View
Notetaking Guide for Stewart's Calculus: Early...
on Amazon
Show steps
Show steps
Show steps
- Review the chapters on functions and algebra.
- Review the chapters on limits and continuity.
- Review the chapters on derivatives.
Watch Video Lectures on Calculus
Show steps
Reinforce your understanding of Calculus concepts by watching video lectures.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Find video lectures online or on platforms like YouTube.
- Watch the lectures and take notes.
- Review the lectures and try to understand the concepts.
Find a Calculus Tutor or Mentor
Show steps
Connect with a mentor who can provide guidance and support in your Calculus learning journey.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Reach out to your professor or TAs.
- Ask classmates for recommendations.
- Search for tutors or mentors online.
Five other activities
Expand to see all activities and additional details
Show all eight activities
Practice Differentiation Problems
Show steps
Solve differentiation problems to reinforce your understanding of derivatives.
Browse courses on
Derivatives
Show steps
Show steps
Show steps
- Find practice problems online or in textbooks.
- Solve the problems and check your answers.
- Review the problems you got wrong and try to understand why you made mistakes.
Join a Study Group
Show steps
Discuss Calculus concepts and work on problems with other students.
Browse courses on
Derivatives
Show steps
Show steps
Show steps
- Find a study group or create one with your classmates.
- Meet regularly to discuss the course material.
- Work on problems together and help each other understand the concepts.
Build a Data Visualization Project
Show steps
Apply your Calculus knowledge to a real-world problem by building a data visualization project.
Browse courses on
Data Visualization
Show steps
Show steps
Show steps
- Choose a dataset and a question you want to answer.
- Clean and prepare the data.
- Use Calculus concepts to analyze the data.
- Create visualizations to present your findings.
Write a Blog Post on Calculus Concepts
Show steps
Reinforce your understanding of Calculus concepts by writing a blog post explaining them to others.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Choose a Calculus concept to write about.
- Research the concept and gather information.
- Write a blog post explaining the concept in a clear and concise way.
- Publish your blog post online.
Contribute to Open-Source Calculus Projects
Show steps
Gain practical experience and contribute to the Calculus community by contributing to open-source projects.
Browse courses on
Calculus
Show steps
Show steps
Show steps
- Find open-source Calculus projects on platforms like GitHub.
- Identify areas where you can contribute.
- Fork the project and make your changes.
- Submit a pull request to the project.
Career center
Learners who complete Algebra and Differential Calculus for Data Science will develop knowledge and skills
that may be useful to these careers:
Machine Learning Engineer
Machine Learning Engineer
Machine Learning Engineers build and maintain machine learning models that can be used to automate tasks, make predictions, and improve decision-making. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with machine learning algorithms.
Quantitative Analyst
Quantitative Analyst
Quantitative Analysts develop and use mathematical and statistical models to analyze financial data and make investment decisions. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with financial data.
Actuary
Actuary
Actuaries use mathematical and statistical methods to assess risk and uncertainty. They develop and use models to predict future events and make recommendations about how to manage risk. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with actuarial models.
Data Scientist
Data Scientist
Data Scientists use scientific methods, processes, algorithms, and systems to extract knowledge and insights from data in various forms, both structured and unstructured. They develop and build models to analyze and solve complex problems, and they communicate the results of their work to a wide range of audiences.
Operations Research Analyst
Operations Research Analyst
Operations Research Analysts use mathematical and analytical methods to solve problems in a variety of industries, including manufacturing, transportation, and healthcare. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with operations research models.
Statistician
Statistician
Statisticians collect, analyze, interpret, and present data. They use statistical methods to develop and test hypotheses, and they make inferences about populations based on samples. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with statistical data.
Cloud Engineer
Cloud Engineer
Cloud Engineers design, build, and maintain cloud computing systems. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with cloud computing systems.
Market Researcher
Market Researcher
Market Researchers collect, analyze, and interpret data to understand consumer behavior and trends. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with market research data.
Big Data Engineer
Big Data Engineer
Big Data Engineers design, build, and maintain big data systems that can handle large volumes of data. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with big data systems.
Data Architect
Data Architect
Data Architects design, build, and maintain data systems. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with data systems.
Data Analyst
Data Analyst
Data Analysts collect, clean, and analyze data to help businesses make informed decisions. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with data.
Financial Analyst
Financial Analyst
Financial Analysts use financial data to make investment recommendations and provide advice to businesses and individuals. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with financial data.
Data Engineer
Data Engineer
Data Engineers build and maintain data pipelines that collect, clean, and process data. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with data pipelines.
Business Intelligence Analyst
Business Intelligence Analyst
Business Intelligence Analysts collect, analyze, and interpret data to help businesses make better decisions. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with data.
Software Engineer
Software Engineer
Software Engineers design, develop, and maintain software applications. This course can help you develop the skills necessary to succeed in this role by providing you with a strong foundation in algebra and differential calculus, which are essential for understanding and working with software algorithms and data structures.
For more career information including salaries, visit:
OpenCourser.com/course/kr4dkz/algebra
Reading list
We've selected 11 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
Algebra and Differential Calculus for Data Science.
Provides a comprehensive overview of the mathematical concepts used in machine learning. It valuable resource for students who want to learn more about the mathematical foundations of data science.
Provides an accessible introduction to the concepts of probability. It valuable resource for students who need to understand probability for data science.
Provides a comprehensive overview of linear algebra. It valuable resource for students who need to understand linear algebra for data science.
Save
Provides a comprehensive overview of numerical analysis. It valuable resource for students who need to understand numerical analysis for data science.
Save
Provides a practical overview of data mining techniques. It valuable resource for students who want to learn more about the practical applications of data science.
Provides a practical overview of machine learning techniques. It valuable resource for students who want to learn more about the practical applications of data science.
Provides a practical overview of data science techniques. It valuable resource for students who want to learn more about the practical applications of data science.
Provides a comprehensive overview of statistical learning methods. It valuable resource for students who want to learn more about the mathematical foundations of data science.
Save
Provides a comprehensive overview of machine learning methods. It valuable resource for students who want to learn more about the mathematical foundations of data science.
Provides a comprehensive overview of pattern recognition and machine learning methods. It valuable resource for students who want to learn more about the mathematical foundations of data science.
Save
Provides a comprehensive overview of deep learning methods. It valuable resource for students who want to learn more about the mathematical foundations of data science.
For more information about how these books relate to this course, visit:
OpenCourser.com/course/kr4dkz/algebra
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005: Calculus
Effort
6 Weeks of study
Level
Intermediate
Via
Coursera
Institution
University of Colorado Boulder
Instructor
Jane Wall
Language
English
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This course belongs to a
collection
called
Expressway to Data Science: Essential Math. It's comprised of three courses:
- Integral Calculus and Numerical Analysis for Data Science
- Algebra and Differential Calculus for Data Science (viewing)
- Essential Linear Algebra for Data Science
Good to know
Teaches fundamental Calculus without unnecessary proofs and techniques
Designed for learners lacking math background, particularly for Data Science career
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