Preparing for Data ScienceData Science is a very hot area of employment right now. Being a Data Scientist basically means you are a programmer and a statistician/mathematician, and you can apply the knowledge of both worlds to tasks involving large amounts of data.
In order to start on a career path towards Data Science, you need all of the courses in the first two years of university calculus.
Yeah, you need all of them! Calculus I, Calculus II, Multivariable Calculus, Differential Equations, Linear Algebra, and Probability Theory (Calculus-Based Statistics). There are no short-cuts available if you really want to be a data scientist. You need to be both a serious mathematician and a master programmer.
There are many websites around that suggest you can get all of this mathematics knowledge just from the free MOOC courses available around the internet. This recommendation seems unrealistic - there are also lots of mathematics books available at the library and at used book stores, but trying to make your way through those math books by yourself .... that is a tall order.
Plus, if you do take the MOOC route and then you wish to actually complete a Data Science certificate or academic degree, proving that you have the requisite mathematics knowledge is ... not as convincing as having these academic courses completed and showing on a university transcript!
Here is a video on Data Science and our Distance Calculus courses course:
Preparing for Data Science with Distance Calculus
MOOCs, Academic Credits, and Distance Calculus
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: May 21, 2020
Review by: Chester F.
Courses Completed: Calculus I, Calculus II
Review: I did not enjoy Calculus I at my school. I retook Calculus I, and then Calculus II, over the summer via Distance Calculus and it was awesome. I started my sophomore year back on track and ready for my physics classes. I struggled with the MathLive software but I guess it was alright.
Transferred Credits to: University of North Carolina
Date Posted: Jun 21, 2020
Review by: Abdul J.
Courses Completed: Applied Calculus
Review: This was the best class! So much more interesting doing the computer math than a boring lecture class. Diane was so responsive and helpful. I recommend this course.
Transferred Credits to: Villanova University
Distance Calculus - Curriculum Exploration
- P5: Polynomial Functions:
- P5.1: Algebraic Development
- P5.1.a: Cubic Functions
- P5.1.b: Quartic Functions
- P5.1.c: Power Functions
- P5.1.d: General Polynomial Functions
- P5.1.e: Graph Identification
- P5.1.f: Homework Problems
- P5.2: Polynomial Data
- P5.2.a: Generate Data from Algebraic Formula
- P5.2.b: Roots
- P5.2.c: Factored Form
- P5.2.d: Given Data, Match Formula
- P5.2.e: Best Fit Formula
- P5.2.f: Homework Problems
- P5.3: Polynomial Equations
- P5.3.a: Solve By Guessing
- P5.3.b: Solve Graphically
- P5.3.c: Solve By Polynomial Division
- P5.3.d: Solve by Factoring
- P5.3.e: Solve Numerically
- P5.3.f: Homework Problems
- P5.3.g: Homework Problems
- P5.4: Polynomial Graphs
- P5.4.a: Vertical Translations
- P5.4.b: Horizontal Translations
- P5.4.c: Roots are Key
- P5.4.d: Given Graph, Match Formula
- P5.4.e: Complex Roots and Graphs
- P5.4.f: Homework Problems
- P5.5: Fundamental Theorem of Algebra
- P5.6: Polynomial Functions Revisited