Python and Data Science for beginners

Python and Data Science for beginners, available at $54.99, has an average rating of 4.15, with 40 lectures, based on 457 reviews, and has 41691 subscribers.

You will learn about How to set up environment to explore using Jupyter Notebook How to import Python Libraries into your environment How to work with Tabular data How to explore a Pandas DataFrame How to explore a Pandas Series How to Manipulate a Pandas DataFrame How to clean data How to visualize data This course is ideal for individuals who are Beginners to Data Science or Beginners to Python It is particularly useful for Beginners to Data Science or Beginners to Python.

Enroll now: Python and Data Science for beginners

Summary

Title: Python and Data Science for beginners

Price: $54.99

Average Rating: 4.15

Number of Lectures: 40

Number of Published Lectures: 40

Number of Curriculum Items: 40

Number of Published Curriculum Objects: 40

Original Price: $69.99

Quality Status: approved

Status: Live

What You Will Learn

How to set up environment to explore using Jupyter Notebook
How to import Python Libraries into your environment
How to work with Tabular data
How to explore a Pandas DataFrame
How to explore a Pandas Series
How to Manipulate a Pandas DataFrame
How to clean data
How to visualize data

Who Should Attend

Beginners to Data Science
Beginners to Python

Target Audiences

Beginners to Data Science
Beginners to Python

Data science is the study of data. It involves developing methods of recording, storing, and analyzing data to effectively extract useful information

Data is a fundamental part of our everyday work, whether it be in the form of valuable insights about our customers, or information to guide product,policy or systems development. Big business, social media, finance and the public sector all rely on data scientists to analyse their data and draw out business-boosting insights.

Python is a dynamic modern object -oriented programming language that is easy to learn and can be used to do a lot of things both big and small. Python is what is referred to as a high level language. That means it is a language that is closer to humans than computer.It is also known as a general purpose programming language due to it’s flexibility. Python is used a lot in data science.

This course is a beginners course that will introduce you to some basics of data science using Python.

What You Will Learn

How to set up environment to explore using Jupyter Notebook
How to import Python Libraries into your environment
How to work with Tabular data
How to explore a Pandas DataFrame
How to explore a Pandas Series
How to Manipulate a Pandas DataFrame
How to clean data
How to visualize data

Course Curriculum

Chapter 1: Setting Up The Environment

Lecture 1: Introduction

Lecture 2: What is Jupyter Notebook

Lecture 3: Installing Jupyter Notebook Server

Lecture 4: Running Jupyter Notebook Server

Lecture 5: Common Jupyter Notebook Commands

Lecture 6: Jupyter Notebook Components

Lecture 7: Jupyter Notebook Dashboard

Lecture 8: Jupyter Notebook User Interface

Lecture 9: Creating a new notebook

Chapter 2: Introduction to Python: Crash course for beginners

Lecture 1: What is Python

Lecture 2: High and low level programming languages

Lecture 3: Compilers and interpreters

Lecture 4: Python Expressions

Lecture 5: Python Statements

Lecture 6: Python Comments

Lecture 7: Python Data Types

Lecture 8: Casting Data Types

Lecture 9: Python Variables

Lecture 10: Python List

Lecture 11: Python Tuple

Lecture 12: Python Dictionaries

Lecture 13: Python Operators

Lecture 14: Python Conditional Statements

Lecture 15: Python Loops

Lecture 16: Python Functions

Chapter 3: Introduction to Data Science

Lecture 1: What is data science

Lecture 2: Impact of data science

Lecture 3: Data science life cycle

Lecture 4: Terminology

Lecture 5: Kaggle Data Sets

Lecture 6: Probability Sampling

Lecture 7: Tabular Data

Lecture 8: Exploring Pandas DataFrame

Lecture 9: Manipulating a Pandas DataFrame

Lecture 10: What is data cleaning

Lecture 11: Basic data cleaning process

Lecture 12: What is data visualization

Lecture 13: Visualizing Qualitative Data

Lecture 14: Visualizing Quantitative Data

Lecture 15: Thank You

Instructors

Bluelime Learning Solutions
Making Learning Simple

Rating Distribution

1 stars: 5 votes
2 stars: 16 votes
3 stars: 85 votes
4 stars: 174 votes
5 stars: 177 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

Menu