Data Visualization with Python Masterclass | Python A-Z

Hello dear friends

Data visualization, data analysis, and visualization, python data analysis and visualization, tableau data visualization, data visualization, data visualization expert

Welcome to the "Data Visualization with Python Masterclass | Python A-Z" course.

Learn python and how to use it for data analysis and visualization, present data. Includes codes of data visualization.

In this course, we will learn what is data visualization and how does it work with python.

Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate.

This course has suitable for everybody who interested in data visualisation concept.

First of all, in this course, we will learn some fundamentals of pyhton, and object oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take our journey to the Data Science world. Here we will take a look at data literacy and data science concepts. Then we will arrive at our next stop. Numpylibrary. Here we learn what is numpy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we'll enter the Matplotlib world then we exit the Seaborn world. Then we'll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.

Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.

In this course, you will learn data analysis and visualization in detail.

Also during the course, you will learn:

1. Fundamental stuff of pyhton and OOP, Overview of Jupyter Notebook and Google Colab.

2. What is the Data Science and Data Literacy

3. Fundamental stuff of Numpy and Pandas library in data analysis.

4. What is Data Visualization

5. Python data analysis and visualization

6. Python data analysis

7. Data visualization

8. Advanced excel for data analysis

9. The Logic of Matplotlib

   • What is Matplotlib

   • Using Matplotlib

   • Pyplot – Pylab - Matplotlib - Excel

   • Figure, Subplot, Multiplot, Axes,

   • Figure Customization

   • Plot Customization

   • Grid, Spines, Ticks

   • Basic Plots in Matplotlib

   • Overview of Jupyter Notebook and Google Colab

10. Seaborn library with these topics

    • What is Seaborn

    • Controlling Figure Aesthetics

    • Color Palettes

    • Basic Plots in Seaborn

    • Multi-Plots in Seaborn

    • Regression Plots and Squarify

11. Geoplotlib with these topics

    • What is Geoplotlib

    • Tile Providers and Custom Layers

And of course, we enhanced all of it lots of examples with different concept and level. I bet you will like it.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.

When you enroll, you will feel the OAK Academy`s seasoned developers' expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.

Fresh Content

It’s no secret how technology is advancing at a rapid rate. New tools are released every day, and it’s crucial to stay on top of the latest knowledge for being a better Python developer. You will always have up-to-date content for this course at no extra charge.

Video and Audio Production Quality

All our content is created/produced as high-quality video/audio to provide you the best learning experience.

You will be,

• Seeing clearly

• Hearing clearly

• Moving through the course without distractions

You'll also get:

• Lifetime Access to The Course

• Fast & Friendly Support in the Q&A section

Dive in now!

We offer full support, answering any questions.

See you in the Data Visualization with Python Masterclass | Python A-Z class!

• Course Intro 01:42

  • 1: Course Intro Preview 01:42

• Code Files And Resources: Python data analysis and visualization 03:00

  • 2: Data Visualisation - Matplotlib Files 01:00
  • 3: Data Visualisation - Seaborn Files 01:00
  • 4: Data Visualisation - Geoplotlib 01:00

• Introduction to Data Visualization with Python 06:29

  • 5: Introduction to Data Visualization with Python 03:29
  • 6: FAQ regarding Data Visualization 03:00

• Python Setup 37:07

  • 7: Installing Anaconda Distribution For Windows 10:35
  • 8: Installing Anaconda Distribution For Mac 06:17
  • 9: Installing Anaconda Distribution For Linux 14:43
  • 10: Overview of Jupyter Notebook and Google Colab 05:32

• Fundamentals of Python 3 1:42:21

  • 11: Data Types in Python 12:43
  • 12: Operators in Python 10:32
  • 13: Conditionals 09:50
  • 14: Loops 13:07
  • 15: Lists, Tuples, Dictionaries and Sets 17:54
  • 16: Data Type Operators and Methods 11:21
  • 17: Modules in Python 05:15
  • 18: Functions in Python 08:06
  • 19: Exercise Analyse 01:46
  • 20: Exercise Solution 10:47
  • 21: quiz 01:00

• Object Oriented Programming (OOP) 34:50

  • 22: Logic of OOP 04:59
  • 23: Constructor 06:53
  • 24: Methods 04:42
  • 25: Inheritance 06:42
  • 26: Overriding and Overloading 10:34
  • 27: quiz 01:00

• Fundamentals of Data Science 3:34:20

  • 28: What is Data Science 05:39
  • 29: Data Literacy 03:09
  • 30: What is Numpy_ 06:49
  • 31: Why Numpy_ 04:23
  • 32: Array and Features 12:08
  • 33: Array Operators 04:53
  • 34: 28 - Numpy Functions 18:25
  • 35: Indexing and Slicing 10:15
  • 36: Numpy Exercises 16:04
  • 37: What is Pandas 05:48
  • 38: Series and Features 20:06
  • 39: Data Frame attributes and Methods 40:47
  • 40: Groupby Operations 13:31
  • 41: Combining Data Frames - I 20:26
  • 42: Combining Data Frames II 19:28
  • 43: Work with Dataset Files 11:29
  • 44: quiz 01:00

• Matplotlib 1:53:06

  • 45: What is Data Visualization 07:53
  • 46: What is Matplotlib 03:02
  • 47: Using Pyplot 07:30
  • 48: Using Pyplot - Pylab - Matplotlib 07:19
  • 49: Figure Subplot Multiplot Axes 17:28
  • 50: Figure Customization 14:48
  • 51: Plot Customization 06:45
  • 52: Grid, Spines, Ticks 07:06
  • 53: Basic Plots in Matplotlib I 26:47
  • 54: Basic Plots in Matplotlib II 13:28
  • 55: quiz 01:00

• Seaborn 1:21:16

  • 56: What is Seaborn 04:09
  • 57: Controlling Figure Aesthetics 10:21
  • 58: Example 09:08
  • 59: Color Palette 13:00
  • 60: Basic Plots in Seabornlib 19:57
  • 61: Multi-Plots in Seaborn 09:19
  • 62: Regression Plots and Squarify 14:22
  • 63: quiz 01:00

• Geoplotlib 43:49

  • 64: What is Geoplotlib 08:43
  • 65: Example - I 08:17
  • 66: Example - II 16:09
  • 67: Example - III 09:40
  • 68: quiz 01:00

Hello dear friends

Data visualization, data analysis, and visualization, python data analysis and visualization, tableau data visualization, data visualization, data visualization expert

Welcome to the "Data Visualization with Python Masterclass | Python A-Z" course.

Learn python and how to use it for data analysis and visualization, present data. Includes codes of data visualization.

In this course, we will learn what is data visualization and how does it work with python.

Data science is everywhere. Better data science practices are allowing corporations to cut unnecessary costs, automate computing, and analyze markets. Essentially, data science is the key to getting ahead in a competitive global climate.

This course has suitable for everybody who interested in data visualisation concept.

First of all, in this course, we will learn some fundamentals of pyhton, and object oriented programming ( OOP ). These are our first steps in our Data Visualisation journey. After then we take our journey to the Data Science world. Here we will take a look at data literacy and data science concepts. Then we will arrive at our next stop. Numpylibrary. Here we learn what is numpy and how we can use it. After then we arrive at our next stop. Pandas library. And now our journey becomes an adventure. In this adventure we'll enter the Matplotlib world then we exit the Seaborn world. Then we'll try to understand how we can visualize our data, data viz. But our journey won’t be over. Then we will arrive our final destination. Geographical drawing or best known as Geoplotlib in tableau data visualization.

Learn python and how to use it to python data analysis and visualization, present data. Includes tons of code data vizualisation.

Whether you work in machine learning or finance, or are pursuing a career in web development or data science, Python is one of the most important skills you can learn. Python's simple syntax is especially suited for desktop, web, and business applications. Python's design philosophy emphasizes readability and usability. Python was developed upon the premise that there should be only one way (and preferably one obvious way) to do things, a philosophy that has resulted in a strict level of code standardization. The core programming language is quite small and the standard library is also large. In fact, Python's large library is one of its greatest benefits, providing a variety of different tools for programmers suited for many different tasks.

In this course, you will learn data analysis and visualization in detail.

Also during the course, you will learn:

1. Fundamental stuff of pyhton and OOP, Overview of Jupyter Notebook and Google Colab.

2. What is the Data Science and Data Literacy

3. Fundamental stuff of Numpy and Pandas library in data analysis.

4. What is Data Visualization

5. Python data analysis and visualization

6. Python data analysis

7. Data visualization

8. Advanced excel for data analysis

9. The Logic of Matplotlib

   • What is Matplotlib

   • Using Matplotlib

   • Pyplot – Pylab - Matplotlib - Excel

   • Figure, Subplot, Multiplot, Axes,

   • Figure Customization

   • Plot Customization

   • Grid, Spines, Ticks

   • Basic Plots in Matplotlib

   • Overview of Jupyter Notebook and Google Colab

10. Seaborn library with these topics

    • What is Seaborn

    • Controlling Figure Aesthetics

    • Color Palettes

    • Basic Plots in Seaborn

    • Multi-Plots in Seaborn

    • Regression Plots and Squarify

11. Geoplotlib with these topics

    • What is Geoplotlib

    • Tile Providers and Custom Layers

And of course, we enhanced all of it lots of examples with different concept and level. I bet you will like it.

What is data visualization?
Data visualization is the graphical representation of information and data. It is a storytelling tool that provides a way to communicate the meaning behind a data set. Simply put, data visualization helps users — the individuals or teams who generate the data, and in many cases, their audience — make sense of data and make the best data-driven decisions. Good visualizations can magically transform complex data analysis into appealing and easily understood representations that, in turn, inform smarter, more calculated business moves. Using visual elements like charts, graphs, and maps, data visualization tools provide an accessible way to see and understand trends, outliers, and patterns in data

What is data science?

We have more data than ever before. But data alone cannot tell us much about the world around us. We need to interpret the information and discover hidden patterns. This is where data science comes in. Data science uses algorithms to understand raw data. The main difference between data science and traditional data analysis is its focus on prediction. Data science seeks to find patterns in data and use those patterns to predict future data. It draws on machine learning to process large amounts of data, discover patterns, and predict trends. Data science includes preparing, analyzing, and processing data. It draws from many scientific fields, and as a science, it progresses by creating new algorithms to analyze data and validate current methods.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

OAK Academy based in London is an online education company. OAK Academy gives education in the field of IT, Software, Design, development in English, Portuguese, Spanish, Turkish, and a lot of different languages on the Udemy platform where it has over 1000 hours of video education lessons. OAK Academy both increases its education series number by publishing new courses, and it makes students aware of all the innovations of already published courses by upgrading.

When you enroll, you will feel the OAK Academy`s seasoned developers' expertise. Questions sent by students to our instructors are answered by our instructors within 48 hours at the latest.

Fresh Content

It’s no secret how technology is advancing at a rapid rate. New tools are released every day, and it’s crucial to stay on top of the latest knowledge for being a better Python developer. You will always have up-to-date content for this course at no extra charge.

Video and Audio Production Quality

All our content is created/produced as high-quality video/audio to provide you the best learning experience.

You will be,

• Seeing clearly

• Hearing clearly

• Moving through the course without distractions

You'll also get:

• Lifetime Access to The Course

• Fast & Friendly Support in the Q&A section

Dive in now!

We offer full support, answering any questions.

See you in the Data Visualization with Python Masterclass | Python A-Z class!

• Anyone who has programming experience and wants to learn data visualization and improve the skills.
• Statisticians and mathematicians who want to data visualization.
• Data analysts who want to learn data visualization.
• If you are one of these, you are in the right place. But please don't forget. You must know a little bit of coding and scripting.
• Tech geeks who curious with Data Visualization
• Data analysts who want to learn python data analysis
• Anyone who need a job transition
• Anyone eager to learn python for data vizualisation with no coding background
• People who want to learn data visualization, data analysis, python data visualization

• You'll need a desktop computer (Windows, Mac) capable of running Anaconda 3 or newer. We will show you how to install the necessary free software.
• A little bit of coding experience for data visualization using python
• At least high school level math skills will be required for data vizualisation.
• Python Coding skills are a plus
• Desire to learn Seaborn
• Desire to work on Geoplotlib
• Desire to learn data analysis and visualization
• Desire to learn numpy, python numpy
• Desire to learn pandas, python pandas
• Desire to learn data analysis, python, data visualization

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Reed courses certificate of completion

Digital certificate - Included