In this first video tutorial on Data Visualization in Python course, you will get a brief introduction and overview on what is data visualization, its importance, benefits and the top python libraries for Data Visualization like Matplotlib, Plotly and Seaborn.

In this first part of the video on Matplotlib, you will learn both the theoretical and the practical knowledge on Matplotlib, which is one of the most popular and top python libraries for Data Visualization. You will get a complete introduction to Matplotlib, the installation of Matplotlib with pip, the basic plotting with Matplotlib and the Plotting of two or more lines in the same plot.

In this second part of the Matplotlib video tutorial, you will learn how to add labels and titles like plt.xlabel and plt.ylabel along with understanding how to create lists and insert functions onto it. All this can be seen explained it detail by the instructor by taking examples for it.

In this tutorial, you will learn about 2 important python libraries namely; Numpy and Pandas. Along with the theoretical concepts, you will also get practical implementation on various topics related to these two such as what is Numpy and what is its use, the installation of Numpy along with example, what is pandas and its key features, with the installation of Python Pandas and finally the Data Structure with examples of Pandas.

In this second part of the Numpy and Pandas tutorial, you will learn the complete overview of Pandas like its history, its key features, the installation process of Pandas, Pandas Data Structure and within it the Data Frame and syntax to create Data Frame. All this will be explained in detail by the instructor.

In this third part of the video tutorial on Numpy and Pandas, you will learn about creating Data Frame from Dictionary. Also, you will understand how to read CSV Files with Pandas using practical examples by the Instructor.

In this tutorial, you will learn about the different Data Visualization Tools such as Bar Chart, Histogram and the Pie Chart. You will get a complete understanding of what is these tools, why and how to use these 3 tools, the syntax for creating Bar Chart, Histogram and the Pie Chart and different programs for creating these data visualization tools. In the first part of the video, you will learn about the Bar Chart and in the subsequent videos, you will learn about the Histogram and the Pie Chart.

In this second part of the Data Visualization Tools video, you will learn about the complete overview of Histogram like what is Histogram, how to create Histogram and many others with the help of practical examples by the instructor.

In this third and final part of the Data Visualization Tools video, you will learn about the Pie Chart-what is Pie Chart, how to create the Pie Chart and how to create the syntax for Pie Chart? All these questions will be explained in detail by the instructor by taking practical examples. Further, you will understand the concept of Autoptic parameter in Pie Chart.

In this first part of the video tutorial on more data visualization tools, you will learn about some additional data visualization tools apart from Bar Chart, Histogram and Pie Chart such as Scatter Plot, Area Plot, STACKED Area Plot and the Box Plot. The first part of this tutorial consists of mainly the Scatter Plot, the theoretical concepts associated with it such as what is Scatter Plot, the syntax for creating Scatter Plot and creating Scatter Plot with examples.

In this second part of the video tutorial, you will learn and understand what is Area Plot, creating Area Plot with Function and Syntax and creating Area Plot with examples. All these will be seen explained in detail by the instructor. Further, you will also learn and understand the concept associated with the STACKED Area Plot.

In this final part of the video tutorial, you will learn about the Box Plot; which is also known as Whisker Plot, how to create Box Plot, its syntax and arguments used like Data & Notch, the parameters used in Box Plot such as vert, patch artist and widths. These will be seen explained in detail by the instructor.

In this first video tutorial on Advanced Data Visualization Tools, you will learn about the Waffle Chart – its definition, complete overview, the syntax and programs to create Waffle Chart and the step-by-step procedure to create the Waffle Chart. All these will be seen explained in detail by the instructor.

In this second part of the video tutorial on Advanced Data Visualization Tools, you will learn about the Word Cloud-its definition, the reason why Word Cloud is used, what are the modules needed in generating the Word Cloud in Python, how to install Word Cloud and how to create Word Cloud with the help of some examples.

In this tutorial, you will learn and understand about the concept of Heat Map and how one can create the Heat Map along with the help of the parameter camps. This will be seen explained in detail by the instructor.

In this first part of the video tutorial on Specialized Data Visualization Tools, you will learn about the Bubble Chart; its definition and how to create bubble charts with the help of different examples.

In this video, you will learn about the Contour Plots; which is also sometimes referred to as Level Plots. Along with understanding the whole theoretical concept of Contour Plots, you will also learn how to create Contour Plots with practical examples as will be seen explaining by the instructor in details.

In this third part of the video on Specialized Data Visualization Tools, you will learn about the Quiver Plot and how to create the Quiver Plot by taking different examples. This will be seen explained in complete details by the instructor.

In this video on Specialized Data Visualization Tools, you will learn about 3D plotting in Matplotlib and also the 3D Line Plot used in Data Visualization with the help of different practical examples and how to create it. This will be seen explained in detailed by the instructor throughout the tutorial.

In this tutorial, you will learn about the 3D Scatter Plot and how to create a 3D Scatter Plot. The instructor will be seen explaining this in complete details with the help of different examples.

In this tutorial, you will learn and understand the 3D Contour Plot, what is the function used in creating the 3D Contour Plot and how it can be created; which will be explained in detail by the instructor with the help of examples.

In this last part of the video tutorial on Specialized Data Visualization Tools, you will learn about the 3D Wireframe Plot and the 3D Surface Plot, along with creating the same with the help of different examples, seen explained in detail by the instructor.

In this tutorial, you will learn about Seaborn, which is another very important Python library. Through this video, you will get an introduction to Seaborn, along with some important features of it, functionalities of Seaborn, Installation of Seaborn, the different categories of plot in Seaborn and some basic type of plots one can create using Seaborn like Distribution Plot.

In this second part of the video on Seaborn Library, you will learn and understand some basic plots using Seaborn Library like the Line Plot. Here, the instructor will be seen explaining in detail the Seaborn Line Plot and with a detailed example of how to create Seaborn Line Plot with random data.

This is a continuation video of creating the Line Plot with some more examples using the Seaborn library. Along with this, you will also learn about the Lmplot and the function used for creating the Lmport. This can be seen explained in detailed by the instructor with practical examples.

In this tutorial, you will learn about Data Visualization using Seaborn library. Under this, you will learn the Strip Plot, how to create the strip plot and the program used to create the Strip Plot. This will be shown by the Instructor with detailed examples like Strip plot using inbuilt data-set given in Seaborn and others.

In this video, you will learn about the Swarm Plot; its definition, complete overview and how you can create the Swarm Plot. This can be seen explained in detail by the instructor with examples like visualization of “fmri” dataset using swarm plot().

In this tutorial, you will learn a complete overview on Plotting Bivariate Distribution along with the concepts of Hexbin Plot, Kernel Density Estimation (KDE) and the Reg Plots. You will understand many of the in-depth concepts on these, with detailed explanation by the instructor with examples.

In this tutorial, you will learn about the Pair Plot Function in Visualizing Pairwise Relationship under Seaborn library. You will understand the complete overview of Pair Plot Function, the syntax for using it, the parameters used like hue, palette, kind and diag kind. This will be seen explained in detail by the instructor with the help of examples.

In this tutorial, you will learn about the Box Plot, Violin Plots and the Point Plots – their definitions and how to create them which will be seen explained in detail by the instructor throughout the video.

In this introductory tutorial on Data Visualization in R Programming, you will learn about what is data visualization, the type of graph or chart one should select for data visualization, what is the importance and benefits of data visualization and finally what are the applications of data visualization.

In this video, you will learn how to work on the Histogram, which falls under different Chart types used in Data Visualization in R Programming; along with working on the bar chart, box plot and heat map. You will be seeing a detailed explanation by the instructor on the complete workaround of these by taking different examples.

In this video, you will learn what is density plot and how you can create the density plot by taking different examples for it. You will also learn about the different applications being used in the density plot under Data Visualization with R Programming.

In this tutorial, you will learn about Data Visualization with GGPLOT2 Package where inside it you will learn the overview of GGPLOT2, iteratively building plots, univariate distributions and bar plot, annotation with GGPLOT2, axis manipulation and the density plot. You will get a complete understanding of the theoretical concept along with the implementation of each of these.

In this second part of the video tutorial, you will learn about Plotting with GGPLOT2 and building your plots iteratively, along with the importance of the ‘+’ symbol and its use in the GGPLOT2 work process. You will be seeing a detailed explanation from the instructor by taking different examples.

In this video you will learn about the complete theoretical and practical implementation of Univariate Distribution and Bar Plot, which can be seen explained in complete details by the instructor throughout the tutorial.

In this tutorial, you will learn about annotation with ggplot2, along with geom text () and adding labels with geom label () with complete explanation on this by the instructor with the help of different examples.

In this tutorial, you will learn about Axis Manipulation with ggplot2, its complete overview and in-depth concepts along with the different functions used during the process. You will be seeing explaining the topic in complete details by the instructor by taking examples and working in R studio.

In this section, you will learn about Text Mining and Word Cloud, along with the Radar Chart, Waffle Chart, Area Chart and the Correlogram. In this first part of the video, you will learn about the Text Mining and Word Cloud, the different reasons behind using Word Cloud for text data, who is using Word Clouds and the various steps involved in creating word clouds.

In this video, you will learn how to execute data using redline function. Also, you will understand the usage of corpus function and content transformer function. Further, you will understand about the text stemming, Term Document Matrix function and the Max word’s function.

In this tutorial, you will learn about the Radar Chart, the function used in the Radar Chart which is gg Radar (), scales, mapping and the use label. Along with this, you will also learn how to create Radar Chart in R studio. Moreover, you will learn about the Waffle Chart in R and how to create vector data in Waffle Chart with the help of different examples.

In this last part of the session, you will learn about the Area Chart, its in-depth concepts and how to work on it. This will be seen explained in detail by the instructor. Moreover, you will also learn about the Correlogram in R, the correlation matrix, Mt cars and the work around on different visualization methods been used.

This is a project tutorial titled Visualizing COVID-19 where you will see the different scenarios being explained by the tutor on visualizing COVID-19 data and how it can be done through Data Visualization in R process. In this first part, you will understand the complete overview of the project, its description and the different tasks associated with it being done by the ggplot.

In this second part of the project video, you will learn about the “Annotate” process and the number of COVID cases being reported in China with the help of Data Visualization. You will be seeing the task performed on the dataset being provided by the WHO along with understanding the tribble function and how it will help during the entire work process.

In this last part of the session, you will understand the work around of the task being done with the help of plot. You will see a detailed explanation by the instructor seeking help of few examples to explain the complete process of plotting in respect to the COVID-19 project being implemented.

In this first tutorial, you will get the introduction to GUI, what are Tcl, Tk and Tkinter, what is Tkinter and the steps involved in creating the Tkinter app. You will also learn about the Tkinter Widgets, Python- Tkinter Button, Python-Tkinter Canvas and Python Tkinter Check Button.

In this tutorial, you will learn about the different widgets used in the Python – Tkinter like the Entry Widget, Text Widget and the Label Widget. Further, you will learn about the Frame Widget and its importance in Python Tkinter.

In this tutorial, you will learn about the List box Widget and the Menu Widget along with the options available for Menu Widget. You will see a detailed overview of the widgets being explained by the tutor.

In this tutorial, you will learn about the Message Widget; its complete overview like what it is used for and others along with the Radio Button, the options available for Radio Button and the functions supported by Radio Button.

In this tutorial, you will learn and understand about the Scrollbar Widget and the complete overview of Text Widget. You will see a detailed overview explanation by the tutor for both these widgets throughout the video.

In this tutorial, you will learn about the Spinbox Widget, which is a variant of the standard Tkinter Entry Widget, with its complete overview and use. Along with this, you learn about the Paned Window, the functions available for Paned Window and the label frame widget. Moreover, you will learn about the Message Box module; its different color options, Anchors, Python-Tkinter cursors, grid () method and the place () method.

In this tutorial, you will learn how to write simple GUI applications using Tkinter. This will be shown with detailed explanation by the tutor throughout the video.

In this video, you will learn about the main loop function, how and when it is used, along with creating a label widget and how to handle the Button Click Event for the Tkinter programming.

In this tutorial, you will learn how to get input through the “Entry” Class Widget in the Tkinter programming which will be seen explained in complete details by the tutor.

In this video, you will learn how to add a check button widget along with the complete explanation on what is it. You will be seeing a detailed and practical demonstration by the tutor throughout the video.

In this tutorial, you will learn about the scrolled text widget along with creating a message box with detailed explanation by the tutor for both these topics.

In this tutorial, you will learn how to use different functions that come under the message box package. Within this, you will learn how to work on the Warning and Error Messages along with the Ask Question Function.

In this video, you will learn how to create a spin box widget along with adding a progress bar widget. This will be seen explained in details by the instructor with practical demonstration.

This is a continuation video to the previous lecture topic where you will learn how to create a menu bar widget, what are the different types of menu bar and a complete program on how to use the menu widget.

In this tutorial, you will learn what is a notebook widget and how to add a notebook widget in Tkinter module. This will be shown in complete detail by the instructor throughout the video.

In this tutorial, you will learn how to create UI in Python-Tkinter. This will be shown in complete details by the instructor, with a briefing on GUI Python Library.

In this tutorial, you will learn and understand about the different Selection Widgets; such as creation of Radio Buttons, Check Buttons, Combo Box, List box etc. You will see a detailed explanation on each of these widgets used in the Python Tkinter library.

In this tutorial, you will learn about Event Handling; its complete overview and the different parameters associated with it such as modifiers, types and the qualifiers. Further, you will learn about the Bind Method used during the Event Handling in Tkinter Library.

In this tutorial, you will learn how to do simple arithmetic functions using OOP’s concept in Tkinter. This will be shown with a detailed explanation using an Object-Oriented Program.

In this tutorial, you will learn some more in-depth functionalities on OOP’s concept in Tkinter. Along with this, you will also learn about the implementation of Bind Function. All this will be shown in complete details by the instructor.

In this video, you will learn about Drawing in Tkinter with the help of Canvas widget. You will get a detailed explanation on this by the instructor and how to implement this with the help of a simple program.

This is a continuation to the previous video topic on how to do drawing in Tkinter using the Canvas widget. In this video, you will see how to give colors for the shapes that are being created and for this video, an example of a rectangle shape will be taken to demonstrate the whole process.

In this video, you will see some more examples of Tkinter shapes, how to create them and give colors. Here, shapes taken will be Oval, Rectangle, Arc, Polygon and Ellipse. All these will be shown in complete details by the instructor.

In this video, you will learn about the Geometry Manager used in Tkinter, along with an overview of Pack function and how to implement it using a detailed explanation by the tutor.

In this tutorial, you will learn about the Tkinter draw text. This will be illustrated in complete details by the instructor throughout the video.

In this video, you will learn about the Geometry Manager or the Layout Manager, what is its role in Tkinter, its 3 different types which are basically Pack, Grid and Place. You will be seeing a practical demonstration of Pack function by taking different examples of it.

This is a continuation video to the previous tutorial where you will learn how to place widgets side by side using Pack function. You will get a complete detailed explanation on this by the instructor in this tutorial.

In this tutorial, you will learn about the Grid Geometry Manager, its complete overview, advantages of it over the Pack Manager and how to implement with a simple demonstration by the instructor.

In this video, you will learn about the Pack function under which you will understand how to control the Tkinter application layout. This will be shown using an algorithm by the instructor throughout this video.

In this video, you will learn about the Absolute Positioning used in the Pack Geometry Manager in Tkinter. This will be shown with a detailed example by the instructor and how to implement it in Pack Manager.

This video will show you how to create windows of books and authors in Tkinter Pack Manager. This is a complete practical tutorial showing and explaining this topic by the tutor.

In this tutorial, you will learn how to create a button using different options available for the master widget. You will learn to create a root window along with different options available for creating buttons.

This is a continuation video to the previous topic where you will see how to work with the Wrap length option to create buttons from different options available for Tkinter GUI.

In this tutorial, you will learn about the Layout Management of Pack, Place & Grid method with the help of different examples. Further, you will be seeing an example of a Pack function where it will be shown to design and decide the oceans that can be filled on the main window. Along with this, you will be seeing Grid Layout example and the Place function example.

In this video, you will learn about the complete details on the Grid Manager; which is one of the most used Geometry Manager. Along with this, you will also learn about the Place Geometry Manager and these two will be seen explained in details by the instructor.

In this tutorial, you will learn about the Frame Widget, what and why it is used and practical explanations using some examples on frame widget.

In this first part of the video tutorial on Tkinter List box, you will learn about the basic overview, why it is used and how to create a list box in Tkinter GUI Programming with the help of some examples.

This is a continuation video to the previous topic on how to work with the Tkinter List box. Here, the instructor will be seen explaining the topic with the help of some more examples.

In this third part of the Tkinter List box tutorial, you will learn how to create a list box with variable and values. This complete video is a practical demonstration on working with list box with buttons, variables and labels.