Data Science Math Preparation - Distance Calculus Enroll Now, Start Today, Finish Quick - Calculus Academic Credits

Our Survey of Calculus = Applied Calculus course is not a "canned" multiple choice course like those offered at many other schools and MOOCs (which usually do not offer the academic credits on academic transcript that you need). Applied Calculus has a wonderful curriculum, providing an excellent introductory study of Differential and Integral Calculus without the rigor (and trigonometry) found in the engineering-level Calculus I course.

Here is a video about earning real academic credits from Distance Calculus @ Roger Williams University:

Earning Real Academic Credits for Calculus

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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
• Programmer+Mathematician
• 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