Ready for the Data Science career?
In both cases, you are at the right place!
Welcome to Python for Data Science: Learn Data Science From Scratch course
Python is the most popular programming language for the data science process in recent years and also do not forget that data scientist has been ranked the number one job on several job search sites! With Python skills, you will encounter many businesses that use Python and its libraries for data science. Almost all companies working on machine learning and data science use Python’s Pandas library. Thanks to the large libraries provided, The number of companies and enterprises using Python is increasing day by day. The world we are in is experiencing the age of informatics. Python and its Pandas library will be the right choice for you to take part in this world and create your own opportunities,
In this course, we will open the door of the Data Science world and will move deeper. You will learn the fundamentals of Python and its beautiful libraries such as Numpy, Pandas, and Matplotlib step by step.
Throughout the course, we will teach you how to use the Python to analyze data, create beautiful visualizations, and use powerful machine learning algorithms and we will also do a variety of exercises to reinforce what we have learned in this Python for Data Science course.
In this course you will learn;
How to use Anaconda and Jupyter notebook,
Fundamentals of Python such as
Datatypes in Python,
Lots of datatype operators, methods and how to use them,
Conditional concept, if statements
The logic of Loops and control statements
Functions and how to use them
How to use modules and create your own modules
Data science and Data literacy concepts
Fundamentals of Numpy for Data manipulation such as
Numpy arrays and their features
How to do indexing and slicing on Arrays
Lots of stuff about Pandas for data manipulation such as
Pandas series and their features
Dataframes and their features
Hierarchical indexing concept and theory
The logic of Data Munging
How to deal effectively with missing data effectively
Combining the Data Frames
How to work with Dataset files
And also you will learn fundamentals thing about Matplotlib library such as
Pyplot, Pylab and Matplotlb concepts
What Figure, Subplot and Axes are
How to do figure and plot customization
And we will do many exercises. Finally, we will also have 4 different final projects covering all of these subjects.
Why would you want to take this course?
We have prepared this course in the simplest way for beginners and have prepared many different exercises to help them understand better.
No prior knowledge is needed!
In this course, you need no previous knowledge about Python, Pandas or Data Science.
This course will take you from a beginner to a more experienced level.
If you are new to data science or have no idea about what data science does no problem, you will learn anything you need to start data science.
If you are a software developer or familiar with other programming languages and you want to start a new world, you are also in the right place. You will learn step by step with hands-on examples.
You'll also get:
Lifetime Access to The Course
Fast & Friendly Support in the Q&A section
Udemy Certificate of Completion Ready for Download
Dive in now Python for Data Science: Learn Data Science From Scratch course
We offer full support, answering any questions.
See you in the course!
- No prior knowledge is required
- Free software and tools used during the course
- Basic computer knowledge
- Desire to learn data science
- Nothing else! It’s just you, your computer and your ambition to get started today
What you will learn
- Fundamentals of Pandas Library
- Installation of Anaconda and how to use
- Using Jupyter notebook
- Learn Fundamentals of Python for effectively using Data Science
- Numpy arrays
- Series and Features
- Combining Dataframes, Data Munging and how to deal with Missing Data
- How to use Matplotlib library and start to journey in Data Visualization
- Also, why you should learn Python and Pandas Library
- Learn Data Science with Python
TAKE THIS COURSE
Who should attend
- Anyone who wants to learn data science,
- Anyone who plans a career in data scientist,
- Software developer whom want to learn data science,
- Anyone eager to learn Data Science with no coding background