Data Science Math Preparation - Distance Calculus Enroll Today, Finish Quickly - Calculus Academic Credits

For many students with strong academic skills and backgrounds, some courses can be finished in as quickly as a few weeks!

Or, take a more relaxed approach - you can take up to 1 year to finish your course.

Why stress out with due dates and course structures that are incompatable with your life and work schedule? Why force yourself to attend classroom lectures on a weekly basis when you can take your calculus course online on your timeline!

Here is a video about how FAST you can potentially complete your Calculus course from Distance Calculus @ Roger Williams University:

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