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Development Data Science

Python for Data Science: Learn Data Science From Scratch

Data Science with Python. Use NumPy, Pandas, Matplotlib with hands-on projects and learn Python for Data Science with us
Rating: 4.6 out of 54.6 (9 ratings)
76 students
Created by Oak Academy
Last updated 2/2021
English
English [Auto]
30-Day Money-Back Guarantee

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 Matplotlib library and start to journey in Data Visualization
  • Also, why you should learn Python and Pandas Library
  • Learn Data Science with Python

Course content

10 sections • 51 lectures • 9h 22m total length

  • Preview04:51
  • Project Files and Course Documents
    00:05

  • Preview06:16
  • Installing Anaconda for Mac
    06:42
  • Let's Meet Jupyter Notebook for Windows
    02:21
  • Basics of Jupyter Notebook for Mac
    02:28

  • Data Types in Python
    12:42
  • Operators in Python
    10:31
  • Conditionals
    09:49
  • Loops
    13:07
  • Lists, Tuples, Dictionaries and Sets
    17:54
  • Data Type Operators and Methods
    11:20
  • Modules in Python
    05:15
  • Functions in Python
    08:06
  • Exercise Analyse
    01:46
  • Exercise Solution
    10:46

  • What Is Data Science?
    05:39
  • Data Literacy
    03:08
  • Quiz
    1 question

  • What is Numpy?
    06:49
  • Array and Features
    12:08
  • Array Operators
    04:53
  • Indexing and Slicing
    10:15
  • Numpy Exercises
    16:03

  • What is Pandas?
    05:48
  • Series and Features
    20:06

  • Data Frame Attributes and Methods
    18:14
  • Data Frame Attributes and Methods Part – II
    13:04
  • Data Frame Attributes and Methods Part – III
    11:38
  • Multi Index
    11:59
  • Groupby Operations
    13:30
  • Missing Data and Data Munging
    21:08
  • Missing Data and Data Munging Part II
    10:37
  • How We Deal with Missing Data?
    17:19
  • Combining Data Frames
    20:25
  • Combining Data Frames Part – II
    19:28
  • Work with Dataset Files
    11:29
  • Quiz
    2 questions

  • What is Matplotlib?
    03:02
  • Preview07:30
  • Pyplot – Pylab - Matplotlib
    07:19
  • Figure, Subplot and Axes
    17:28
  • Figure Customization
    14:47
  • Plot Customization
    06:44

  • Analyse Data With Different Data Sets: Titanic Project
    03:42
  • Titanic Project Answers
    19:54
  • Project II: Bike Sharing
    04:24
  • Bike Sharing Project Answers
    27:45
  • Project III: Housing and Property Sales
    03:18
  • Answer for Housing and Property Sales Project
    30:06
  • Project IV : English Premier League
    04:22
  • Answers for English Premier League Project
    29:46

  • BONUS
    04:21

Requirements

  • 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

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 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!

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

Instructor

Oak Academy
LONG LIVE TECH KNOWLEDGE
Oak Academy
  • 4.3 Instructor Rating
  • 3,647 Reviews
  • 25,231 Students
  • 152 Courses

Hi there,

By 2024, there will be more than 1 million unfilled computing jobs and the skills gap is a global problem. This was our starting point.

At OAK Academy, we are the tech experts who have been in the sector for years and years. We are deeply rooted in the tech world. We know the tech industry. And we know the tech industry's biggest problem is the “tech skills gap” and here is our solution.

OAK Academy will be the bridge between the tech industry and people who

-are planning a new career

-are thinking career transformation

-want career shift or reinvention,

-have the desire to learn new hobbies at their own pace

Because we know we can help this generation gain the skill to fill these jobs and enjoy happier, more fulfilling careers. And this is what motivates us every day.

We specialize in critical areas like cybersecurity, coding, IT, game development, app monetization, and mobile. Thanks to our practical alignment we are able to constantly translate industry insights into the most in-demand and up-to-date courses,

OAK Academy will provide you the information and support you need to move through your journey with confidence and ease.

Our courses are for everyone. Whether you are someone who has never programmed before, or an existing programmer seeking to learn another language, or even someone looking to switch careers we are here.

OAK Academy here to transforms passionate, enthusiastic people to reach their dream job positions.

If you need help or if you have any questions, please do not hesitate to contact our team.

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