Complete Numpy Mastery: From Basics To Advanced Data Science
in Data Science, Scientific Computing,...About this course
Set up your environment and learn the basics of NumPy for data science.
Before We Begin
1 Parts
- 0:05 Hr
Global Implementations
5 Min
Prerequisites & Readiness Check
2 Parts
- 1:00 Hr
Prerequisites for Complete NumPy Mastery
45 Min
NumPy Environment Setup Guide
15 Min
Chapter 1: Array Creation and Indexing
3 Parts
- 2:30 Hr
Creating Arrays
60 Min
Indexing and Slicing
60 Min
Exercise: Build and Access a Data Matrix
30 Min
Chapter 2: Data Types and Basic Operations
3 Parts
- 2:00 Hr
Data Types
45 Min
Arithmetic and Universal Functions
45 Min
Exercise: Data Types and Operations Practice
30 Min
Chapter 3: Broadcasting and Aggregation Functions
3 Parts
- 2:30 Hr
Broadcasting
60 Min
Aggregation Functions
60 Min
Exercise: Broadcasting and Aggregation Practice
30 Min
Assignment 1
2 Parts
- 0:45 Hr
NumPy Array Fundamentals and Data Manipulation
45 Min
Submit your Assignment here
Submit your Assignment here
Min Grade: 40
Chapter 4: Advanced Indexing and Visualization
3 Parts
- 2:15 Hr
Advanced Indexing
60 Min
Data Visualization
45 Min
Exercise: Plot Array Data with Customization
30 Min
Chapter 5: File I/O and Handling Missing Data
3 Parts
- 2:15 Hr
File Input/Output
60 Min
Managing Missing Data
45 Min
Exercise: Clean a Dataset with Missing Values
30 Min
Chapter 6: Array Manipulation
3 Parts
- 2:00 Hr
Reshaping and Transposing
45 Min
Stacking and Views
45 Min
Exercise: Transform a Dataset Structure
30 Min
Assignment 2
2 Parts
- 0:45 Hr
Advanced Numerical Processing and Random Data Simulation
45 Min
Submit your Assignment here
Submit your Assignment here
Min Grade: 40
Chapter 7: Random Numbers and Structured Arrays
3 Parts
- 2:00 Hr
Random Number Generation
45 Min
Structured Arrays
45 Min
Exercise: Random Numbers and Structured Arrays Practice
30 Min
Chapter 8: Linear Algebra and Performance Optimization
3 Parts
- 3:00 Hr
Linear Algebra
60 Min
Performance Optimization
60 Min
Exercise: Solve a Linear System and Optimize Computations
60 Min
Capstone Project 1
2 Parts
- 50:00 Hr
Linear Algebra Solver for Physics Simulations
3000 Min
Submit Your Project here
Submit Your Project
Min Grade: 40
Capstone Project 2
2 Parts
- 1:40 Hr
Data Cleaning and Analysis Pipeline
100 Min
Submit your Project here
Submit your Project here
Min Grade: 40
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