Foundational Matrices Matrix Algebra Introduction to Matrices () Adding and Subtracting Matrices Multiplying Matrices by a Scalar Matrix Multiplication Matrix Operations Determinants Cramer's Rule Matrix Equations Solving Matrix Equations Augmented Matrices Row Operations and Row Echelon Forms Writing and Solving a Matrix Equation for a Linear System Solving Linear Systems Using Matrices and Technology Inverse Matrices Applications of Matrices Partial Fraction Expansions
Statistics
Modeling Contexts Cause and Effect
Experimentation and A/B Models
Data Science Process CRISP Model
DATA For JSON,CSV,XML Data Types Data Structures Numpy [vector, matrix, tensor] Missing Data Matrix Manipulation Data Frames Pandas Filtering Data Joining Data Basic Missing Data - Advanced Missing Data (Data Imputation) - Visualizing data (Basic) - Distributions and histograms
FUNCTIONS - Basic Functions - List comprehension
Filtering Data Census Charts Histograms Functions Groups Joins Chance Sampling Statistics Simulation Hypothesis Testing Error Probabilities Confidence Intervals Interpreting Confidence Center and Spread The Normal Distribution Other Distributions Sample Means Correlation Linear Regression Regression Inference Classification Classifiers Comparing Samples A/B Testing Multiple Regression Decisions
DEEP LEARNING
TEXT MINING
ANALYZING IMAGE DATA
BIG DATA