Learn from Home Offer

Learn from Home Offer
This MatPlotLib Tutorials includes 5 Courses with 17+ hours of video tutorials and Lifetime access and several mock tests for practice. You get to learn how to create visualizations with Matplotlib. We start from the very fundamentals i.e. creating simple graphs, using PyPlot to legends and layout. The advanced tutorials will focus on transformation tool, colormaps, annotations, rendering, and toolkits.
Courses | You get access to all 5 courses, Projects bundle. You do not need to purchase each course separately. |
Hours | 17+ Video Hours |
Core Coverage | Learn how to create visualizations with Matplotlib |
Course Validity | Lifetime Access |
Eligibility | Anyone serious about learning Matplotlib and wants to make a career in this Field |
Pre-Requisites | Basic knowledge about data visualization would be preferable |
What do you get? | Certificate of Completion for each of the 5 courses, Projects |
Certification Type | Course Completion Certificates |
Verifiable Certificates? | Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills |
Type of Training | Video Course – Self Paced Learning |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Matplotlib for Python Data Visualization - Beginners | 4h 12m | ✔ | |
Matplotlib for Python Data Visualization - Intermediate | 2h 53m | ✔ | |
Matplotlib for Python Data Visualization - Advanced | 6h 37m | ✔ |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Logistic Regression & Supervised Machine Learning in Python | 2h 6m | ✔ | |
Matplotlib Case Study - E-commerce Data Analysis | 2h 03m | ✔ |
Courses | No. of Hours | Certificates | Details |
---|---|---|---|
Test - Matplotlib Mini Test 1 | |||
Test - Matplotlib Mini Test 2 | |||
Test - Matplotlib Mock Test |
The goal of this training is to help the trainees in learning all the aspects of MatPlotLib which is a python based plotting library. The trainees will be learning how to leverage Tkinter, QT python, etc as GUI to embed plots. The training will deliver an understanding of all the concepts that fall under the court of MatPlotLib.
The sole objective of this course is to train all the interested folks in MatPlotLib regardless of their expertise with these concepts. The course has been focused to help the trainees on achieving proficiency in working with MatPlotLib. Folks who complete the training will become able to work thoroughly using this library for plotting.
MatPlotLib may be defined as the python library that is used to implement the functionality of the graphical representation of data in the application developed in python. It consists of several components that help us to plot a two-dimensional graph using the python script. By using Numpy one can implement the multi-dimensional graph as well. In actual terms, it offers us the API which is further used together with python to get the graph generated using the data available. It is used in creating an enterprise-based application that helps in making the business decision.
To understand MatPlotLib, let go ahead with an illustration. Suppose we are required to develop a python based application that uses the data store in its backend to generate a graph dynamically. We always have an option to embed a static graph that doesn’t change following the data, but when it comes to having a dynamic graph generated, we leverage this library. We can use the various components of MatPlotLib which will help us to plot a two dimensional or multidimensional graph that will be used while graphically presenting the data. The application will be then ready to present all the collected data in an informative manner, making it very easy for the decision-makers to use it.
The application that is being developed these days is supposed to be more efficient and loaded with lots of functionalities as compared to traditional applications. To develop this kind of application, one should know how to bring graphical features in the application which can be done using this library. One should learn MatPlotLib, as it gives them an edge when it comes to developing a perfect application that can graphically present the data.
Depending upon how familiar you are with python, your learning time varies. If you are a python professional and have working experience in it, you will be able to learn it in a matter of a month. The beginners who have basic exposure to python or any other programming language may take two to four months to master using this. It’s also based on how many hours you give every day to learn this.
The course is well structured, The pace of the course is also very good and the instructor is well versed on the subject. All examples are clear and easy to understand and very applicable. I recommend taking this class if someone wants to be either familiar with data visualization.
During the initial part of the MatPlotLib Tutorials, which involves the study and creation of a visual representation of data is also an art and science of itself. then we studied the objective and understanding of data visualization which was very knowledgeable. Later the common techniques and the different types of graphs used to perform data visualization. All in all a valuable course on MatPlotLib.
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Cyber Monday Reloaded Price Drop!
Offer Ends inCourses | No. of Hours | |
---|---|---|
Matplotlib for Python Data Visualization - Beginners | 4h 12m | |
Matplotlib for Python Data Visualization - Intermediate | 2h 53m | |
Matplotlib for Python Data Visualization - Advanced | 6h 37m | |
Logistic Regression & Supervised Machine Learning in Python | 2h 6m | |
Matplotlib Case Study - E-commerce Data Analysis | 2h 03m |
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