Data Handling using NumPy | Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn

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Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn

By : Geek Bootcamp

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Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn

By: Geek Bootcamp

Buy this Video

Overview of this book

This course introduces you to Python programming and its applications in data analysis Starting with the fundamentals you will learn how to work with variables loops conditionals and different data structures like lists tuples sets and dictionaries This ensures you have the foundational skills needed before diving into data science tools. Next you will explore NumPy and Pandas to handle data efficiently You will learn how to create manipulate and analyze arrays and structured datasets performing operations like sorting filtering and statistical analysis Through practical exercises you will understand how these libraries simplify data processing making it easier to manage and analyze large datasets. In the final part of the course you will learn how to visualize data using Matplotlib and Seaborn You will create various types of graphs including line bar scatter and heatmaps to represent data in meaningful ways By the end of the course you will have the skills to work with Python and its data science libraries allowing you to analyze and present data effectively.

BONUS - Python Crash Course

Variables in Python

Conditionals & If Statement

Example for If Statement

If-Else Statement

Example of If-Else Statement

Nested If Statement

Example for Nested If Statement

Elif Statement

Example for Elif Statement

While Loop

While Loop - Count the Digits in a Number

While Loop - Cube of a Number

While Loop - Display Multiplication Table

While Loop - Sum of Digits in a Given Number

While Loop - Sum of First 10 Numbers

For Loop

Display Numbers from 1 to 10 Using For Loop

Factorial Using For Loop

Break & Continue Statement

Introduction to Containers

Creating and Accessing Lists in Python

Accessing Elements & Searching Element in a List

List Indexing and Slicing

Working with List Methods

Working with Operators on Lists

List Comprehension

Tuple - Definition

Tuples

Checking Element Inside a Tuple

Tuple Indexing & Slicing

Manipulating Tuples

Unpacking Tuples

Sets

Dictionaries

Basics of Dictionary

Accessing Dictionary

len, str & type Functions in Dictionary

Functions in Python

Example Program 1 on Functions

Example Program 2 on Functions

Data Handling using NumPy

Introduction to Modules in Python

Creating & Displaying 1D Array

Understanding 1D Array Index

Creating Array of 0's and Array of 1's

Sorting Elements in 1D Array

Slicing a 1D Array

Mathematical Operations on Array

Searching an Element in an Array

Filtering an Array

Checking Whether a Given Array is Empty or Not

Creating & Displaying 2D Array

ndim Attribute

Size Attribute

Shape and Reshape of Array

Creating an Identity Matrix

arange()

linspace()

Random Array

Random Matrix

Creating a Diagonal Matrix

Flatten a Matrix

Computing Trace of a Matrix

Finding Transpose of a Matrix

Negative Indexing to Access Elements in a 2D Array

Data Handling using Pandas

Introduction to Pandas

Working with Series in Pandas

Combining Series with NumPy

Finding Number of Elements in a Series

Computing Mean, Max, and Min in a Series

Sorting a Series

Displaying Unique Values in a Series

Summary of Series Statistics

Creating DataFrame from Series

Creating DataFrame from List of Dictionaries

DataFrame Access using Row-wise and Column-wise Indexing

Add, Rename and Delete Columns in a DataFrame

Deleting Rows and Columns using drop()

Boolean Indexing in DataFrames

Concatenating DataFrames

Data Visualization using Matplotlib in Python

Introduction to Matplotlib

Creating Line Graph

Creating Bar Graph

Creating Scatter Graph

Creating Histogram Graph

Creating Pie Chart

Creating 3D Plot

Creating 3D Line Graph

Data Visualization using Seaborn in Python

Understanding a Sample Dataset (Downloadable)

Introduction to Seaborn

Swarm Plot

Violin Plot

Facet Grids

Heatmap

Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn

By : Geek Bootcamp

Data Science Foundations with Python: Learn NumPy, Pandas, Matplotlib, and Seaborn

By: Geek Bootcamp

Overview of this book

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