Python-Introduction to Data Science and Machine learning A-Z

### Getting Started

*Python* basics Learn *Python* for *Data Science Python* For *Machine learning* and *Python* Tips and tricks.

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What you'll learn

- Uderstand the basics of python programming
- learning all the basic mathematical concepts
- Understand the basics of Data science and how to perform it using Python
- Learn to use different python tools specialisez for data science
- Improve your python programming by integrating new concepts
- Learning the basics of Machine learning
- Perform various analysis with sklearn
- Finish the course with a complete understand of all the core concepts of Data science and all the required tools to perform it with python

Requirements

- Strong motivation to learn new skills
- Basic python programming skills (can be helpful but not mandatory)

Description

Learning how to program in Python is not always easy especially if you want to use it for Data science. Indeed, there are many of different tools that have to be learned to be able to properly use Python for Data science and machine learning and each of those tools is not always easy to learn. But, this course will give all the basics you need no matter for what objective you want to use it so if you :

- - Are a student and want to improve your programming skills and want to learn new utilities on how to use Python
- - Need to learn basics of Data science
- - Have to understand basic Data science tools to improve your career
- - Simply acquire the skills for personal use

Then you will definitely love this course. Not only you will learn all the tools that are used for Data science but you will also improve your Python knowledge and learn to use those tools to be able to visualize your projects.

**The structure of the course**

This course is structured in a way that you will be able to to learn each tool separately and practice by programming in python directly with the use of those tools. Indeed, you will at first learn all the mathematics that are associated with Data science. This means that you will have a complete introduction to the majority of important statistical formulas and functions that exist. You will also learn how to set up and use Jupyter as well as Pycharm to write your Python code. After, you are going to learn different Python libraries that exist and how to use them properly. Here you will learn tools such as NumPy or SciPy and many others. Finally, you will have an introduction to machine learning and learn how a machine learning algorithm works. All this in just one course.

Another very interesting thing about this course it contains a lot of practice. Indeed, I build all my course on a concept of learning by practice. In other words, this course contains a lot of practice this way you will be able to be sure that you completely understand each concept by writing the code yourself.

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