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NumPy Complete Professional Bootcamp

Complete NumPy Bootcamp - Your Gateway to Data Science Careers!

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NumPy Complete Professional Bootcamp
6 Modules
March 2026
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Course Curriculum

6 Modules · 19 Chapters · 19 Topics · 142 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
Array Basics
3 Chapters · 3 Topics · 21 Sub-topics
Array Indexing and Slicing
1 Topics
Accessing Array Elements
9 Sub-topics
Basic Indexing in 1D Arrays
Basic Indexing in 2D Arrays
Basic Indexing in 3D Arrays
Negative Indexing
Slicing 1D Arrays
Slicing 2D Arrays - Rows and Columns
Slicing with Step Values
Slicing Multi-dimensional Arrays
Understanding Views vs Copies
Array Manipulation Part 1
1 Topics
Reshaping and Transforming Arrays
6 Sub-topics
Reshaping Arrays - reshape()
Flattening Arrays - flatten() and ravel()
Transposing Arrays
Swapping Axes
Adding Dimensions - np.newaxis
Squeezing Dimensions
Array Manipulation Part 2
1 Topics
Combining and Splitting Arrays
6 Sub-topics
Concatenating Arrays - concatenate()
Stacking Arrays - vstack and hstack
Stacking Arrays - dstack and stack
Splitting Arrays - split, vsplit, hsplit
Repeating Arrays - repeat and tile
Inserting and Deleting Elements
03
Mathematical Operations
3 Chapters · 3 Topics · 22 Sub-topics
Array Operations Part 1
1 Topics
Basic Array Operations
7 Sub-topics
Element-wise Addition
Element-wise Subtraction
Element-wise Multiplication
Element-wise Division
Floor Division and Modulo
Exponentiation
Square Root and Power Functions
Array Operations Part 2
1 Topics
Advanced Array Operations
5 Sub-topics
Comparison Operators
Logical Operations - AND, OR, NOT
Universal Functions (ufuncs) Overview
Unary ufuncs
Binary ufuncs
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
04
Linear Algebra and Statistics
3 Chapters · 3 Topics · 25 Sub-topics
Broadcasting
1 Topics
NumPy Broadcasting Mechanism
7 Sub-topics
Understanding Broadcasting Rules
Broadcasting with Scalars
Broadcasting 1D with 2D Arrays
Broadcasting Compatible Dimensions
Broadcasting Incompatible Arrays
Practical Broadcasting Examples
Broadcasting Best Practices
Linear Algebra with NumPy
1 Topics
Matrix Operations and Linear Algebra
10 Sub-topics
Matrix Multiplication - dot and matmul
Inner and Outer Products
Matrix Determinant
Matrix Inverse
Matrix Rank
Eigenvalues and Eigenvectors
Matrix Decomposition - SVD
Solving Linear Systems
Matrix Norms
Matrix Trace
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
05
Advanced Techniques
3 Chapters · 3 Topics · 22 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)
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
Advanced Indexing Part 2
1 Topics
Advanced Selection Techniques
6 Sub-topics
Using np.where()
Using np.select()
Using np.take() and np.put()
Using np.choose()
Index Arrays and Broadcasting
Advanced Indexing Performance
06
Professional Development
4 Chapters · 4 Topics · 31 Sub-topics
File IO Operations
1 Topics
Saving and Loading Arrays
8 Sub-topics
Saving Arrays - np.save()
Loading Arrays - np.load()
Saving Multiple Arrays - np.savez()
Saving Text Files - np.savetxt()
Loading Text Files - np.loadtxt()
Loading CSV Files - np.genfromtxt()
Handling Missing Data in Files
Binary File Operations
Memory Management and Optimization
1 Topics
Memory and Performance
8 Sub-topics
Understanding Memory Layout
C-contiguous vs F-contiguous
Memory Views and Strides
Copy vs View - Deep Dive
Memory-efficient Operations
Using np.may_share_memory()
Avoiding Unnecessary Copies
Optimizing Large Array Operations
Performance and Best Practices
1 Topics
Optimization and Best Practices
8 Sub-topics
Avoiding Python Loops
Preallocating Arrays
Using In-place Operations
Efficient Array Concatenation
Leveraging Broadcasting
Choosing Appropriate Data Types
Profiling NumPy Code
Common Performance Pitfalls
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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