The Complete Python Bootcamp From Zero to Master
What you'll 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
Requirements
- Some programming experience
- Everyone want to learnning Python
Description
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!
Who this course is for:
- Beginner Python
- This course is meant for people with at least some programming experience
Instructor
Hi, I’m Eslam Tarek! I’m a programmer. I love helping students learn to code and master software development. I founded The Udemy to bring software development to everyone—my objective is for you to truly understand everything that goes on behind the scenes.
Coding is extremely rewarding. As you learn, things start to click and make sense. You can join the dots of all the things that weren't quite clear before. I'm here to make that journey quick and painless!
I can help you with Python and JavaScript issues, particularly in web and backend development. I'm experienced with programming libraries.