# Data Science - Math Preparation - Distance Calculus Winter 2024 Online Calculus Academic Credits

Distance Calculus @ Roger Williams University operates 24/7/365 with open enrollment outside of the traditional academic calendar. We offer all of our courses during the Summer, Fall, Winter, before semesters traditionally start, after semesters start, during vacation weeks ... I think you get the idea :)M

If you wish to complete a Preparation for Data Science course online, make sure you take this course from a

**regionally accredited college/university**so that the credits you earn from this course will actually transfer to your home college/university.

#### Freshman Math Courses

- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]

#### Sophomore Math Courses

- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]

#### Honors Math Courses

- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]

#### Lower Division Math Courses

- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]

#### Upper Division Math Courses

- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]

**NOT**result in transferrable academic credits from an accredited university!

There are more than a few actual colleges/universities offering Data Science - Math Preparation - Distance Calculus courses online. Be careful as you investigate these courses - they may not fit your needs for actual course instruction and timing. Most require you enroll and engage your course during their standard academic semesters. Most will have you use a publisher's "automated textbook" which is .... um .... well, if you like that kind of thing, then you have a few options over there at those schools.

Distance Calculus is all about real university-level calculus courses - that's all we do! We have been running these courses for 20+ years, so we know how to get students through the these courses fast fast fast!

Here is a video about earning real academic credits in Preparation for Data Science from Distance Calculus @ Roger Williams University:

## Earning Real Academic Credits for Calculus

## Applied Calculus vs Calculus I

Preparation for Data Science can best be described as a "a cross between a mathematician/statistician and a programmer ".

This topic has many names, all being equivalent:

- Applied Statistics
- Data Science
- Big Data
- Programmer+Mathematician

Distance Calculus @ Roger Williams University can help prepare you for a study of Data Science - either for a degree in Data Science or perhaps a certificate - by helping you complete the core mathematics courses necessary for starting a Data Science degree or certificate.

If you wish to become a Data Scientist, you will need to develop both strong programming skills, and have a very strong mathematics background.

There are no short-cuts for Data Science. You just can't learn Python and then pretend you are a Data Scientist because you watched a few videos on running data sets through Python! You NEED a very strong mathematics background that includes ALL of the following courses:

#### Freshman Math Courses

- Applied Calculus for Business [3 credits] [3CR]
- Applied Calculus for Life Science [3 credits] [3CR]
- Calculus I[4 credits] [4CR]
- Calculus II[4 credits] [4CR]

#### Sophomore Math Courses

- Multivariable Calculus III [4 credits] [4CR]
- Differential Equations [3 credits] [3CR]
- Linear Algebra [4 credits] [4CR]
- Probability Theory [3 credits] [3CR]

#### Honors Math Courses

- Honors Calculus I [5 credits] [5CR]
- Honors Calculus II [5 credits] [5CR]
- Honors Calculus I+II for Data Science [5 credits] [5CR]
- Honors Multivariable Calculus [5 credits] [5CR]
- Honors Differential Equations [4 credits] [4CR]
- Honors Linear Algebra [5 credits] [5CR]
- Honors Linear Algebra for Data Science [5 credits] [5CR]

#### Lower Division Math Courses

- Precalculus with Trigonometry [4 credits] [4CR]
- Introductory Statistics [4 credits] [4CR]
- Finite Mathematics [3 credits] [3CR]
- Discrete Mathematics [4 credits] [4CR]

#### Upper Division Math Courses

- Computational Abstract Algebra [4 credits] [4CR]
- Computational Differential Geometry [4 credits] [4CR]

- Preparation for Data Science Summer 2024 Online Course
- Preparation for Data Science Winter 2024 Online Course
- Preparation for Data Science Winter Course
- Preparation for Data Science Spring Course
- Preparation for Data Science Fall 2024 Online Course

## Distance Calculus - Student Reviews

*Date Posted: Jan 18, 2021*

Review by: Coury Gaffney

Student Email: courygaffney@gmail.com

Courses Completed: Linear Algebra

Review: The program used gives an amazing insight into everything that's happening, that you wouldn't get in a traditional course. All of the lessons are clear and clean, and the professor is very helpful along the way. I learned a lot and am happy with taking this course

Transferred Credits to: Virginia Tech

*Date Posted: Jan 12, 2020*

Review by: Mark Neiberg

Courses Completed: Calculus I, Calculus II, Multivariable Calculus

Review: Curriculum was high quality and allowed student to experiment with concepts which resulted in an enjoyable experience. Assignment Feedback was timely and meaningful.

*Date Posted: Jan 12, 2020*

Review by: Mark Neiberg

Courses Completed: Calculus I, Calculus II, Multivariable Calculus

Review: Curriculum was high quality and allowed student to experiment with concepts which resulted in an enjoyable experience. Assignment Feedback was timely and meaningful.