Welcome to Python for Data Visualization: The Complete Masterclass! This comprehensive course is designed to transform your understanding of Python and its powerful data visualization capabilities.

We begin with a straightforward setup and installation process, ensuring you have a solid foundation to build on. You’ll then explore the art of plotting line plots with matplotlib, an essential skill for any data enthusiast. From there, we delve into creating histograms and bar charts, providing you with a clear visual representation of data distributions and categorical comparisons using Python.

Our journey continues with stack plots and stem plots, allowing you to understand and represent cumulative data and discrete events effectively. Scatter plots come next, showcasing relationships between variables in a visually compelling manner. Time series data visualization with matplotlib will equip you with the knowledge to analyse data trends over time using Python.

You’ll also learn to create multiple subplots, enhancing your ability to present complex data in a coherent and organised fashion. Additionally, we introduce you to seaborn, a Python library that makes creating attractive and informative statistical graphics easy.

Finally, we’ll cover Plotly and Cufflinks, bringing interactive data visualisation to your toolkit with Python. This course is your gateway to mastering data visualisation with Python, ensuring you can present data in the most insightful and impactful way possible. Join us and unlock the full potential of Python for data visualization!

Your Benefits by Learning with ‘Cambridge Open Academy’:

  • Accreditation: Showcase your ability with our accredited Python for Data Visualization: The Complete Masterclass to potential employers.
  • Free Certificate: Get a Free Digital Certificate upon successful completion of the Python for Data Visualization: The Complete Masterclass.
  • Flexibility: Learn virtually from anywhere, anytime at your own pace and convenience.
  • Advance Your Career: Upskill to impress your employers and land your dream job or long-awaited promotion.
  • Immediately Applicable Coursework: Keep up with the latest skill trend by putting your skillsets to work.
  • Affordability: Save big with our online Python for Data Visualization: The Complete Masterclass as it not only suits your professional needs but also fits within your budget.
  • Tutor Support: Get tutor support on weekdays, 9-5 am, and our dedicated 24/7 customer support.
  • Lifetime Access: Achieve lifetime access to the top-notch expertly crafted course materials.

Our Specialised Delivery Method:

  • Interactive Learning Materials: The course modules were created using an EdTech industry-recognised tool to keep you engaged at all times. With this tool, you get interactive, engaging and top-notch course content. In our courses, you can take advantage of features like—
    • Drop Down Menu
    • Drag and Drop
    • Flash Card
    • Label Graphic
    • Timeline View
  • Responsiveness: In light of contemporary mobile and point-of-need learning trends, our courses are designed to be intrinsically dynamic and provide you the ultimate eLearning solution. These courses will adapt to any gadget without any extra software.
  • Learner-Friendly Navigation: Our courses are also quite simple to navigate for any learner. These courses are designed with simplicity and a modern flow that appeals to a wide range of learning audiences, regardless of their technical background and gadgets.
  • Elegant Outline: Our courses are visually appealing, where you can —
    • Track your progress on the left-side navigation toolbar.
    • Engage in drag-and-drop sorting activities and use the multiple response question to test your understanding of course topics.

With your newly acquired skills from this course can help you

  • Increase Your Hireability.
  • Make Yourself a Valuable Asset
  • Get Your Long-awaited Promotion.
  • Boost Your Pay-scale
  • Better Your Productivity

Certification:

Once you have successfully completed the Python for Data Visualization: The Complete Masterclass course, you will receive a PDF certificate completely free of cost as a proof of your accomplishment. The hardcopy certificate is also available for the cost of £9.99. UK students are required to pay a £10 as a delivery fee, while international students have to pay £19.99 for the shipment of a hardcopy certificate to their designated address.

Who is this course for?

This Python for Data Visualization: The Complete Masterclass course is developed for people who wish to excel in their professional and personal life. Learn from industry leaders and interact with a global network of experts by enrolling in this Python for Data Visualization: The Complete Masterclass course.

Requirements

Enrolling in our Python for Data Visualization: The Complete Masterclass course does not require any prior knowledge or experience. All that is required is an internet-connected gadget and a passion to learn.

Career Path

Participants in the Python for Data Visualization: The Complete Masterclass course are revolutionizing the professional landscape, propelling their careers forward, and enhancing their livelihoods across the globe. This sought-after course is empowering learners to forge new employment opportunities, advance within their respective industries, and experience substantial personal growth.

Installing the Anaconda Navigator 00:07:00
Installing Matplotlib, seaborn & cufflinks 00:03:00
Reading data from a csv file with pandas 00:03:00
Explaining Matplotlib libraries apart 00:07:00
Changing the axis scales 00:06:00
Label Styling 00:04:00
Adding a legend 00:04:00
Changing colors, linestyles, linewidth and markers 00:09:00
Adding a grid to the chart 00:04:00
Filling only a specific area 00:07:00
Filling area on line plots and filling only specific area 00:04:00
Changing fill color of different areas (negative vs positive for example) 00:03:00
Changing edge color and adding shadow on the edge 00:04:00
Adding legends, titles, location and rotating pie chart 00:06:00
Histograms vs Bar charts (Part 1) 00:03:00
Histograms vs Bar charts (Part 2) 00:02:00
Changing edge colour of the histogram 00:03:00
Changing the axis scale to log scale 00:07:00
Adding median to histogram 00:04:00
Advanced Histograms and Patches (Part 1) 00:04:00
Advanced Histograms and Patches (Part 2) 00:05:00
Overlaying bar plots on top of each other (Part 1) 00:04:00
Overlaying bar plots on top of each other (Part 2) 00:01:00
Creating Box and Whisker Plots 00:11:00
Plotting a basic stack plot 00:13:00
Plotting a stem plot 00:05:00
Plotting a stack plot od data with constant total 00:04:00
Plotting a basic scatter plot 00:06:00
Changing the size of the dots 00:06:00
Changing colors of markers 00:05:00
Adding edges to dots 00:04:00
Using the Python datetime module 00:03:00
Connecting data points by line 00:04:00
Converting string dates using the .to_datetime() pandas method 00:05:00
Plotting live data using FuncAnimation in matplotlib 00:04:00
Setting up the number of rows and columns 00:04:00
Plotting multiple plots in one figure 00:02:00
Getting separate figures 00:03:00
Saving figures to your computer 00:03:00
Introduction to seaborn 00:02:00
Working on hue, style and size in seaborn 00:05:00
Subplots using seaborn 00:05:00
Line plots 00:02:00
Cat plots 00:03:00
Jointplot, pair plot and regression plot 00:02:00
Controlling Plotted Figure Aesthetics 00:03:00
Installation and Setup 00:02:00
Line, Scatter, Bar, box and area plot 00:07:00
3D plots, spread plot and hist plot, bubble plot, and heatmap 00:07:00

Certification:​

Once you have successfully completed this course, you will receive a PDF certificate as a proof of your accomplishment. The hardcopy certificate is also available for the cost of £9.99.
Note: Delivery of hardcopy certificate is free within the United Kingdom. However, to obtain a hardcopy certificate, International students will have to pay additional fees based on their location.

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A clear and concise course

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