Introduction to Data Science

About Course

In today’s data-driven world, Python has emerged as one of the most popular programming languages for data analysis, machine learning, and artificial intelligence. Whether you are a beginner or an experienced programmer looking to expand your skills, this course will equip you with the fundamental knowledge and practical techniques needed to leverage Python for data science tasks.

Course Content

Developer Enviromnent and Basics in Python Data Science
In this module, we will use a tool call Jupyter Notebook; which is a web application from the Anaconda distribution. It helps us have live execuition of our codes and visualizations in cell structures and markdowns for proper documentation

Jupyter Notebook

00:47
Introduction to Jupyter Notebook

00:00
Getting started with Jupyter Notebook

07:33

Variables, Datatypes and print formating
In this module, students will learn the foundational elements of programming through an exploration of variables, data types, and print formatting. They will understand how to declare and use variables to store information, recognize and work with different data types such as integers, floats, strings, and booleans, and apply print formatting techniques to display output in a structured and readable manner. The module aims to equip students with essential skills for managing and presenting data effectively in their programs.

Understanding Data Structures in Data Science
Data structures in Python are ways of organizing and storing data so that it can be accessed and modified efficiently. Python provides several built-in data structures, each serving different purposes and having different performance characteristics.

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Introduction to Data Science

About Course

What Will You Learn?

Course Content

Developer Enviromnent and Basics in Python Data Science
In this module, we will use a tool call Jupyter Notebook; which is a web application from the Anaconda distribution. It helps us have live execuition of our codes and visualizations in cell structures and markdowns for proper documentation

Jupyter Notebook

Introduction to Jupyter Notebook

Getting started with Jupyter Notebook

Introduction

Print Formatting

Quiz

Understanding Data Structures in Data Science
Data structures in Python are ways of organizing and storing data so that it can be accessed and modified efficiently. Python provides several built-in data structures, each serving different purposes and having different performance characteristics.

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Get in touch

Introduction to Data Science

About Course

What Will You Learn?

Course Content

Developer Enviromnent and Basics in Python Data Science In this module, we will use a tool call Jupyter Notebook; which is a web application from the Anaconda distribution. It helps us have live execuition of our codes and visualizations in cell structures and markdowns for proper documentation

Jupyter Notebook

Introduction to Jupyter Notebook

Getting started with Jupyter Notebook

Introduction

Print Formatting

Quiz

Understanding Data Structures in Data Science Data structures in Python are ways of organizing and storing data so that it can be accessed and modified efficiently. Python provides several built-in data structures, each serving different purposes and having different performance characteristics.

List

Student Ratings & Reviews

Company

Categories

Support

Get in touch

Developer Enviromnent and Basics in Python Data Science
In this module, we will use a tool call Jupyter Notebook; which is a web application from the Anaconda distribution. It helps us have live execuition of our codes and visualizations in cell structures and markdowns for proper documentation

Understanding Data Structures in Data Science
Data structures in Python are ways of organizing and storing data so that it can be accessed and modified efficiently. Python provides several built-in data structures, each serving different purposes and having different performance characteristics.