What you'll 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 MatDescriptionlib library and start to journey in Data Visualization
Also, why you should learn Python and Pandas Library
Learn Data Science with Python

Description
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 MatDescriptionlib 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 MatDescriptionlib library such as

PyDescription, Pylab and MatDescriptionlb concepts

What Figure, SubDescription and Axes are

How to do figure and Description 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!

Who this course is for:
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

Screenshots

Citación :

https://rapidgator.net/file/77fa800b73e925f9fa7962f4910bccc0/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part1.rar.html
https://rapidgator.net/file/3c6a80f828b23746d11b7d566123d959/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part2.rar.html
https://rapidgator.net/file/c65c13bbab370fd6aff25841b576b45f/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part3.rar.html


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https://uploadgig.com/file/download/7391f107Cd3c65e4/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part2.rar
https://uploadgig.com/file/download/4d07BE406677a327/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part3.rar


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https://nitroflare.com/view/2511AE172806C58/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part2.rar
https://nitroflare.com/view/E437BCBEB3599B9/h4j2i.Python.for.Data.Science.Learn.Data.Science.From.Scratch.part3.rar