Data Science - Math Preparation - Distance Calculus Spring 2023 Online CourseDistance Calculus @ Roger Williams University offers Precalculus, Calculus I/II, Multivariable, Differential Equations, Linear Algebra, Probability Theory (Calculus-based Statistics) during every Spring term.
Freshman Math Courses
Honors Math Courses
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.
The free courses available from the MOOCs (Massive Open Online Courses) like edX, Coursera, Udacity, Khan Academy, MIT Open Courseware, etc. are really excellent courses, but they do 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
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
Honors Math Courses
- Preparation for Data Science Summer 2023 Online Course
- Preparation for Data Science Winter 2023 Online Course
- Preparation for Data Science Winter Course
- Preparation for Data Science Spring Course
- Preparation for Data Science Fall 2023 Online Course
Distance Calculus - Student Reviews
Date Posted: Jan 19, 2020
Review by: Dan P.
Courses Completed: Calculus I, Calculus II
Review: I found the courses to be informative, enjoyable, and most importantly, effective in helping me learn the concepts of calculus. My math skills were always very weak, and I had a great deal of difficulty passing my undergrad math courses. The pace of a traditional classroom setting was just too quick for the concepts to really sink in. With Distance Calculus, I had courses that were taught with the full rigor of an on-campus class, but where I could take my time and really learn the material...all while having access to top-tier instructional help for real math professors and assistants. DC gave me the tools and the confidence I needed, so after successfully passing my DC courses, I moved on and completed a master's degree in CS.
Date Posted: Feb 23, 2020
Review by: Carl Conners
Courses Completed: Multivariable Calculus, Differential Equations, Linear Algebra
Review: After a really rough first year of calculus, I completed all of the second year calculus courses with Distance Calculus. It was like night and day the difference. My first year was so boring and monotonous. Multivariable Calculus, Differential Equations, and Linear Algebra through Distance Calculus were just so much different - so not boring at all. I thoroughly enjoyed these courses. So engaging.
Transferred Credits to: Michigan State University
Date Posted: Jan 8, 2021
Review by: Cristian Mojica
Student Email: email@example.com
Courses Completed: Probability Theory
Review: A fantastic course! I was able to complete it in about half a year (with a few gaps) alongside other coursework I was completing. There are no deadlines except the one-year mark after registering, so you work at your own rate and schedule. Probability Theory is required for me to apply to Master's programs in Statistics, so I was glad when I found Distance Calculus. While the course was slightly less difficult than I originally expected, there were parts that definitely slowed me down and made me think. (Also, although calculus is not everywhere in the course, it is everywhere in normal and exponential variables and beyond, so make sure to review derivatives and integrals (single and double)!) I used Mathematica for my software, and it helped speed along calculations and proved to be the perfect stage and tool for this material. I think visual learners will absolutely revel in how the material is presented in this course. (I know I did!) As there is plenty of writing and calculation to do, you have many opportunities to develop and strengthen your voice as a mathematician. The modern format of 80% electronic notebook work and 20% handwritten work is an excellent mixture for studying probability theory and grasping its core ideas. Dr. Curtis is clear in his answers to any questions and concerns you may have and is highly responsive to email and chat, and to responses you leave in your notebooks. He truly wants to help you and to see you succeed, and he is always on your side. I highly recommend Probability Theory with Distance Calculus!