Introductory Statistics - Data Science - Distance Calculus Information from Distance Calculus
Introductory Statistics can best be described as a "a cross between a mathematician/statistician and a programmer ".This topic has many names, all being equivalent:
- Introductory Statistics
- Elementary Statistics
- Baby Stats
- Basic Statistics
Distance Calculus @ Roger Williams University can help prepare you for a study of Data Science-related fields - which today includes MBA, Economics, Business, and related fields.
If you wish to understand the fields that are touched by Data Science, you will need to understand the basics of the language of statistics and probability.
If you are planning for a career in Data Science, you will need to look towards the higher courses above our Basic Statistics - Math 124 course. You will NEED a very strong mathematics background that includes ALL of the following courses:
- Math 213 - Calculus I - 4 credits
- Math 214 - Calculus II - 4 credits
- Math 351 - Multivariable Calculus - 4 credits
- Math 317 - Differential Equations - 3 credits
- Math 331 - Linear Algebra - 3 credits
- Math 315 - Probability Theory - 3 credits
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Distance Calculus - Student Reviews





Date Posted: Apr 10, 2020
Review by: Benjamin T.
Courses Completed: Calculus I
Review: This course provided an excellent chance to learn about Calculus...again. I took calculus in high school, but I learned so much more with this course! It does take a good amount of time to do all the lessons, so definitely keep on top of them, but all the exercises helped me to really understand the material. And the nice thing is you can do it on your own time at home.
Transferred Credits to: Western University of Health Sciences: College of Optometry




Date Posted: Jan 12, 2020
Review by:
Courses Completed: Calculus I, Calculus II
Review: I needed to brush up on my high school calculus and finally take Calc II before starting a graduate program that needed them as prereqs. This was perfect choice to fit in that summer. Got done at fast pace that I wanted and needed. Also had added bonus of one on one feedback and help when needed. Video lessons were better than many on campus instructors in large lecture settings. Recommend for anyone needing to satisfy prereqs at home institution.
Transferred Credits to: University of Michigan





Date Posted: Apr 30, 2020
Review by: Hannah J.
Courses Completed: Probability Theory
Review: Probability Theory was a great course. Very very thorough. I thought it would never end :). I was very prepared for my coursework in economics. Excellent refereshher of derivatives and integrals - really forced me to remember that stuff from freshman cal.
Transferred Credits to: Boston University