GRE Prep, According to ETS
Hello,
I am planning to start studying for the GRE and According to the test  they linked the following to use for prep. I want to effectively plan out my studies and was curious about how long each course/subject was  please see the link below.
A huge thank you ahead of time for answering this post :)
ARITHMETIC
1.1 Integers
 Arithmetic: Multiplication and Division
 Arithmetic: Negative Numbers and Absolute Value
 PreAlgebra: Factors and Multiples
1.2 Fractions
1.3 Exponents and Roots
1.4 Decimals
 Arithmetic: Decimals

PreAlgebra: Arithmetic Properties
See "Rational and Irrational Numbers" subsection.
1.5 Real Numbers
 Arithmetic: Negative Numbers and Absolute Value

PreAlgebra: Equations, Expressions, and Inequalities
See "Inequalities: Greater Than and Less Than Basics" subsection.
1.6 Ratio
1.7 Percent
ALGEBRA
Sections 2.1 through 2.9
2.1 Operations with Algebraic Expressions
2.2 Rules of Exponents
2.3 Solving Linear Equations
2.4 Solving Quadratic Equations
2.5 Solving Linear Inequalities
2.6 Functions
2.7 Applications
 PreAlgebra: Applying Mathematical Reasoning
 Algebra I: Linear Equations and Functions Word Problems
2.8 Coordinate Geometry
 Algebra I: Twovariable Linear Equations
 Algebra I: Systems of Linear Equations
 Algebra I: Twovariable Linear Inequalities
 Algebra I: Quadratic Equations and Functions
2.9 Graphs of Functions
GEOMETRY
3.1 Lines and Angles
3.2 Polygons
3.3 Triangles
 Geometry: Congruence
 Geometry: Similarity
 Geometry: Right triangles and trigonometry
 Geometry: Perimeter, area, and volume
3.4 Quadrilaterals
3.5 Circles
3.6 ThreeDimensional Figures
DATA ANALYSIS
4.1 Graphical Methods for Describing Data

PreAlgebra: Applying mathematical reasoning
See "Reading and Interpreting Data" subsection. 
8th Grade (US): Data and modeling
See "Scatter Plots" subsections.
4.2 Numerical Methods for Describing Data
4.3 Counting Methods
4.4 Probability
4.5 Distributions of Data, Random Variables, and Probability Distributions
 Probability and Statistics: Random variables and probability distributions
 Statistics and Probability: Modeling distributions of data
4.6 Data Interpretation Examples

PreAlgebra: Applying mathematical reasoning
See "Reading and Interpreting Data" subsection.
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