Scratch Kodlama: Yeni Başlayanlar İçin Uygulamalı Scratch
( Turkish )Scratch ile programlamayı sıfırdan öğrenin. Hem keyifli oyunlar geliştirin hem Scratch ile programla öğrenmeye başlayın

Data Science with Python. Use NumPy, Pandas, Matplotlib with hands-on projects and learn Python for Data Science with us
Hello there,
Ready for the Data Science career?
Are you curious about Data Science and looking to start your self-learning journey into the world of data with Python?
Are you an experienced developer looking for a landing in Data Science!
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
Groupby operations
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!
It helped me clear my doubts.
Scratch ile programlamayı sıfırdan öğrenin. Hem keyifli oyunlar geliştirin hem Scratch ile programla öğrenmeye başlayın
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