Overview
This Precalculus through Data and Modelling Specialization is offered by Coursera in partnership with Johns Hopkins University.
What you'll learn
Model data with both single and multivariable functions
Visualize and analyze data using different technologies.
Understand properties of different types of functions to apply them accordingly to model different situations.
Perform vector operations, such as addition, scalar multiplication, dot product, and cross product, to analyze geometry in space.
Skills you'll gain
- Mathematics
- Problem Solving
- Calculus
- Critical Thinking
- Mathematical Theory & Analysis
- Linear Algebra
- Regression
- Data Analysis
- Graph Theory
Programme Structure
Courses included:
- Precalculus: Relations and Functions
- Precalculus: Periodic Functions
- Precalculus: Mathematical Modeling
Key information
Duration
- Part-time
- 1 months
- 10 hrs/week
Start dates & application deadlines
Language
Delivered
Campus Location
- Mountain View, United States
Disciplines
Data Science & Big Data Data Analytics View 467 other Short Courses in Data Science & Big Data in United StatesWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- Beginner level
- Recommended experience: Some familiarity with algebraic expressions and function basics at the high school level.
Tuition Fees
-
International Applies to you
Applies to youNon-residentsFree - Out-of-StateFree
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Domestic
Applies to youIn-StateFree
Additional Details
This short course is included with Coursera Plus subscription
Funding
Coursera provides financial aid to learners who cannot afford the fee. Apply for it by clicking on the Financial Aid link beneath the "Enroll" button on the left. You'll be prompted to complete an application and will be notified if you are approved. You'll need to complete this step for each course in the Specialization, including the Capstone Project