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NumPy Statistical Analysis

Transform data into insights with NumPy statistical power!

4.5
Intermediate

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NumPy Statistical Analysis
4 Modules

Course Curriculum

4 Modules · 10 Chapters · 10 Topics · 77 Sub-topics

01
Foundation
3 Chapters · 3 Topics · 21 Sub-topics
Introduction to NumPy
1 Topics
NumPy Fundamentals
5 Sub-topics
What is NumPy and Why Use It
Installing NumPy
Importing NumPy
NumPy vs Python Lists
Understanding ndarray Object
NumPy Array Fundamentals
1 Topics
Array Basics
6 Sub-topics
Creating 1D Arrays
Creating 2D Arrays
Creating 3D Arrays
Array Attributes - shape, size, ndim
Array Attributes - dtype and itemsize
Checking Array Type
Array Creation Methods
1 Topics
Array Creation Techniques
10 Sub-topics
Creating Arrays with np.array()
Creating Arrays with np.zeros()
Creating Arrays with np.ones()
Creating Arrays with np.empty()
Creating Arrays with np.full()
Creating Identity Matrices - np.eye() and np.identity()
Creating Arrays with np.arange()
Creating Arrays with np.linspace()
Creating Arrays with np.logspace()
Creating Arrays from Existing Data
02
Statistical Operations
2 Chapters · 2 Topics · 18 Sub-topics
Mathematical Functions
1 Topics
NumPy Math Functions
10 Sub-topics
Trigonometric Functions - sin, cos, tan
Inverse Trigonometric Functions
Hyperbolic Functions
Rounding Functions - round, floor, ceil
Exponential and Logarithmic Functions
Absolute and Sign Functions
Minimum and Maximum Functions
Sum and Product Functions
Cumulative Sum and Product
Difference Function
Statistical Operations
1 Topics
Statistical Analysis with NumPy
8 Sub-topics
Mean, Median, and Mode
Standard Deviation and Variance
Percentiles and Quantiles
Correlation Coefficient
Covariance
Histogram Functions
Statistical Aggregations with Axis
Weighted Averages
03
Random Numbers
2 Chapters · 2 Topics · 17 Sub-topics
Random Number Generation
1 Topics
Random Numbers and Distributions
10 Sub-topics
Understanding Random Seed
Random Integer Generation
Random Float Generation
Random Choice and Sampling
Random Permutations and Shuffling
Normal Distribution
Uniform Distribution
Binomial and Poisson Distributions
Custom Distribution Sampling
Random Generator Object (new API)
Working with NaN and Inf
1 Topics
Handling Special Values
7 Sub-topics
Understanding NaN and Inf
Detecting NaN Values - np.isnan()
Detecting Inf Values - np.isinf()
NaN-aware Aggregations
Removing NaN Values
Filling NaN Values
NaN Propagation Rules
04
Data Analysis
3 Chapters · 3 Topics · 21 Sub-topics
Advanced Indexing Part 1
1 Topics
Boolean and Integer Indexing
6 Sub-topics
Boolean Indexing Basics
Boolean Masks with Conditions
Multiple Boolean Conditions
Integer Array Indexing
Fancy Indexing with 1D Arrays
Fancy Indexing with 2D Arrays
Sorting and Searching
1 Topics
Sorting and Finding Elements
8 Sub-topics
Sorting Arrays - np.sort()
Sorting Along Axis
Indirect Sorting - np.argsort()
Partial Sorting - np.partition()
Searching Arrays - np.searchsorted()
Finding Unique Elements
Finding Non-zero Elements
Finding Maximum and Minimum Indices
Practical NumPy Applications
1 Topics
Real-world NumPy Usage
7 Sub-topics
Image Processing Basics
Signal Processing Operations
Time Series Analysis
Numerical Computing
Data Transformation Pipelines
Batch Processing
Scientific Computing Examples

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