The Complete Python Bootcamp From Zero to Master

The Complete Python Bootcamp From Zero to Master, available at $59.99, has an average rating of 4.26, with 19 lectures, based on 82 reviews, and has 2347 subscribers.

You will learn about Use Python for Data Science and Machine Learning Learn to use NumPy for Numerical Data Use Plotly for interactive dynamic visualizations Learn to use Matplotlib for Python Plotting Learn to use Seaborn for statistical plots Learn to use Pandas for Data Analysis Implement Machine Learning Algorithms Use Spark for Big Data Analysis Neural Networks Use Scikit-Learn for Machine Learning Tasks Linear Regression Natural Language Processing and Spam Filters Support Vector Machines Logistic Regression This course is ideal for individuals who are Beginner Python or This course is meant for people with at least some programming experience It is particularly useful for Beginner Python or This course is meant for people with at least some programming experience.

Enroll now: The Complete Python Bootcamp From Zero to Master

Summary

Title: The Complete Python Bootcamp From Zero to Master

Price: $59.99

Average Rating: 4.26

Number of Lectures: 19

Number of Published Lectures: 19

Number of Curriculum Items: 19

Number of Published Curriculum Objects: 19

Original Price: $19.99

Quality Status: approved

Status: Live

What You Will Learn

Use Python for Data Science and Machine Learning
Learn to use NumPy for Numerical Data
Use Plotly for interactive dynamic visualizations
Learn to use Matplotlib for Python Plotting
Learn to use Seaborn for statistical plots
Learn to use Pandas for Data Analysis
Implement Machine Learning Algorithms
Use Spark for Big Data Analysis
Neural Networks
Use Scikit-Learn for Machine Learning Tasks
Linear Regression
Natural Language Processing and Spam Filters
Support Vector Machines
Logistic Regression

Who Should Attend

Beginner Python
This course is meant for people with at least some programming experience

Target Audiences

Beginner Python
This course is meant for people with at least some programming experience

Are you ready to start your path to becoming a Developer!! (Exclusively on Udemy)

This comprehensive course will be your guide to learning how to use the power of Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world’s most interesting problems!

This course is designed for both beginners with some programming experience or experienced developers looking to make the jump to Data Science!

This comprehensive course is comparable to other Data Science bootcamps that usually cost thousands of dollars, but now you can learn all that information at a fraction of the cost! this is one of the most comprehensive course for data science and machine learning on Udemy!

We’ll teach you how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python! Here a just a few of the topics we will be learning:

Programming with Python
NumPy with Python
Using pandas Data Frames to solve complex tasks
Use pandas to handle Excel Files
Web scraping with python
Connect Python to SQL
Use matplotlib and seaborn for data visualizations
Use plotly for interactive visualizations
Machine Learning with SciKit Learn, including:
Linear Regression
K Nearest Neighbors
K Means Clustering
Decision Trees
Random Forests
Natural Language Processing
Neural Nets and Deep Learning
Support Vector Machines
and much, much more!

Enroll in the course and become a data scientist today!

Course Curriculum

Chapter 1: Course Introduction

Lecture 1: Introduction to the Course

Lecture 2: Why Python ?

Chapter 2: The basics of Programming and Python

Lecture 1: The basics of Programming

Chapter 3: Install Python and anaconda and launch a Jupyter Notebook

Lecture 1: How to Install Anaconda and Python

Lecture 2: How to launch a Jupyter Notebook

Lecture 3: How to Code in the Python shell

Chapter 4: Variables, Operators, Booleans, Comparisons and Other Functions in Python

Lecture 1: Variables and Operators in Python

Lecture 2: Booleans and Comparisons in Python

Lecture 3: Other Functions in Python

Chapter 5: Control Flow, Modules and strings in Python

Lecture 1: Control Flow in Python

Lecture 2: Functions in Python

Lecture 3: Modules in Python

Lecture 4: Strings in Python

Chapter 6: Other Important Python Data Structures

Lecture 1: Lists, Tuples, Sets and Dictionaries

Chapter 7: The Numpy, Pandas and Matplotlib Python Data Science Library

Lecture 1: The Numpy Python Data Science Library

Lecture 2: The Pandas Python Data Science Library

Lecture 3: The Matplotlib Python Data Science Library

Chapter 8: Example Project

Lecture 1: A COVID-19 Trend Analysis Data Analysis Tool Built with Python Libraries

Chapter 9: Congratulations

Lecture 1: Congratulations

Instructors

Eslam Tarek Ghanam
Programmer & Graphic designer

Rating Distribution

1 stars: 1 votes
2 stars: 3 votes
3 stars: 4 votes
4 stars: 11 votes
5 stars: 63 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