Explore Data Science Domains and Roles

Data Science Tools

What is Data Science

Data Science Development Environments

What is Anaconda

Data Science Roles

The Data Science Roadmap

macOS Terminal, Git for Windows, and Linux Emulators

Introduction

Basic Linux Commands

What is a command-line, terminal, and Shell

Create Projects and Workflows

Install Anaconda macOS

Install Anaconda Windows

Closing a Jupyter Notebook Session

Virtual Environments with Conda

Install Jupyter Notebook

Starting a Jupyter Notebook and Session

Explore Visual Code for Data Science

Introduction -3

Primitive & Non-Primitive Data Types, Part 2 Data Types in Jupyter Notebook

Primitive & Non-Primitive Data Types, Part 1 Conda Environment and GitHub

Numbers Integers and Floats

Text Strings and Bools

Collections Lists

Collections Tuples, and Sets

Working with Variables

Leaving Comments

String Formatting

Working with Strings

Indexing

Slicing

Math Operators

Python and Math

Boolean Values

Built-in Python Functions

LaTex for Equations and Formulas

Scientific Notation

Writing Functions

If statements and Functions

Comparison and Logical Operators

Understanding Functions

Pseudocode

Asking for Input

Introduction - Loops to Automate Tasks

Functions Review

if Statements Part 2

for Loops

while Loops

if Statements Part 1

Challenge

Introduction Python Built-in Methods

List Methods

List Review

Dictionary Review

Dictionary Methods

Numpy and Pandas

EDA Dimensions

Programming Styles

EDA Summary Statistics

Python Class Objects

EDA Complete with Histograms

What is Pandas Part 2

What is Pandas Part 1

EDA (Exploratory Data Analysis)

Clean and Manipulate Data

Data Visualization with Pandas (it does that also!)

What is Numpy

Creating and Manipulating Arrays

Numpy Vs Pandas

Array Operations, Array Methods and Functions

Customizing Plots

Fields in the dataset from Kaggle

What is Matplotlib

Plotting with Seaborn

Real-world Notebook

Matplotlib vs Seaborn

How the Internet Works

HTML

Visual Studio Code

CSS

Web Scraping with BeautifulSoup

What is BeautifulSoup

The find() Method Part 1

The find all() Method Part 1

The find all() Method Part 2

The find() Method Part 2

Introduction -2

What is Git

What is GitHub

Create an Online Repo and Push Your Code to GitHub

Challenge

Hosting Datasets for use in Jupyter Notebook

What are Data Structures

Python Basic Data Structure Limitations

Social Network Analysis Use Case

Data Structures Deep Dive

Introduction - Programming for Data Science CBT Nuggets-3

Complexity Analysis and Memory

Algorithm Comparison

Pandas Data Types

Big O Notation

Big O Notation and Time Complexity Visualization

Quadratic time

Factorial time

Coffee Shop Complexity

R Data Types

Getting Started with R and Google Colab

What is R and Why Should I Learn it in 2023

R and Python Data Structures Part 3 Data Frames

R and Python Data Structures Part 1 Vectors

R and Python Data Structures Part 2 Arrays and Lists

Operations and Calculations

Matrix Calculations

Data Exploration

Perform Exploratory Data Analysis (EDA) Part I

Perform Exploratory Data Analysis (EDA) Part II

Load and Prepare the Dataset (EDA light)

Challenge

Introduction

OpenAI GPT-3 Language Models

What is ChatGPT and How Does it Work Under the Hood

What is AI

Prompts and Completions

API Authentication

Bare Bones Completion

Bonus Use Case White Paper Summarization

Time Complexity

Creating a Completion

What is Streamlit Community Cloud

What is Streamlit

HungryBear Production Code Part 1

Designing an AI Web App

HungryBear Non-production Code

HungryBear Production Code Part 2