Data Science Math Preparation - Distance Calculus Fall 2023 Online Calculus Academic CreditsDistance 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 :)
If you wish to complete a 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
Honors Math Courses
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 Data Science from Distance Calculus @ Roger Williams University:
Earning Real Academic Credits for Calculus
Applied Calculus vs Calculus I
Data Science can best be described as a "a cross between a programmer and a mathematician/statistician".
This topic has many names, all being equivalent:
- Data Science
- Applied Statistics
- Big Data
If you wish to become a Data Scientist, you will need to develop both strong programming skills, and have a very strong mathematics background.
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.
There are no short-cuts you can do with going into Data Science. You just can't learn Python and then pretend you are a Data Scientist because you watch a few videos on running data sets through Python! You NEED a very strong mathematics background that includes ALL of the following courses:
- DMAT 253 - Calculus I - 4 credits
- DMAT 263 - Calculus II - 4 credits
- DMAT 355 - Multivariable Calculus - 4 credits
- DMAT 321 - Differential Equations - 3 credits
- DMAT 335 - Linear Algebra - 3 credits
- DMAT 311 - Probability Theory - 3 credits
Freshman Math Courses
Honors Math Courses
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- Data Science Summer 2023 Online Course
- Data Science Winter 2023 Online Course
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- Data Science Fall 2023 Online Course
Distance Calculus - Student Reviews
Date Posted: Jan 13, 2020
Review by: Anonymous
Courses Completed: Calculus II
Review: This is the most interactive and productive online course I have ever taken. I had taken calculus before but never understood some of the underlying concepts until I took this course. If you want to really learn calculus in a way that will stay with you for the rest of your life, take this course.
Transferred Credits to: The college of New Jersey
Date Posted: Apr 13, 2020
Review by: Jorgen M.
Courses Completed: Calculus I
Review: I really enjoyed this course, much more than I thought I would. I needed to finish this course very fast before starting my graduate degree program @ Kellogg. I was able to finish in 3 weeks. I liked the video lectures and the homework process. I highly recommend this course.
Transferred Credits to: Kellogg School of Business, Northwestern Univ
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.