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Data Visualization with Python and Matplotlib

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Overview Data visualization refers to the process of enabling people understand the significance of data through visual communication. Data visualization …

Overview

Data visualization refers to the process of enabling people understand the significance of data through visual communication. Data visualization is the easiest and most powerful way to access and digest huge amounts of data. Python 3 and Matplotlib are the most easily accessible and efficient to use programs to produce easy to read, simple to understand graphs, charts and other visual representations of data. Python is a general purpose programming language which a focus on readability and concise code, making it a great language for new coders to learn. Whereas, Matplotlib is a plotting library that works with the Python programming language and its numerical mathematics extension ‘NumPy’.

Many people have started to realize the significance of analyzing huge amounts of data. However, the majority of people lack the skills and the time needed to understand this data in its original form. Therefore, this course in Data visualization with Python and Matplotlib will help you learn how data visualization allows you to create easy to read, simple to understand graphs, charts and other visual representations of data. This course could be that added qualification that helps you land an ideal job in the IT or programming field. You could also use this course to improve your knowledge and to progress further in your career. This course covers every major chart that Matplotlib is capable of providing. You will be taught on the basic functions like labels, titles, window buttons and legends, the most popular types of graph and how to import data from both a CSV and NumPy. This course will also help you master the more advanced features like customized spines, styles, annotations, averages and indicators, geographical plotting with Basemap and advanced wireframes.

  • Why consider learning at study 365?
  • Learning outcomes
  • Access duration
  • Who is this course aimed at?
  • Entry requirements
  • Method of assessment
  • Certification and awarding body
  • Tutor info
  • Progression and career path
  • Other benefits

With so many commitments in our lives, we may not have the time to learn new skills. The beauty of studying online is that you get to find this balance between your education and your daily commitments

Study 365 offers hundreds of online courses to students across the world. Gaining new skills has never been this easy as many of our courses are open to students with little or no qualifications or previous experience. All the courses are up-to-date, relevant, affordable, and will build on existing expertise or give you a jump-start to a new career. The courses are meticulously designed and equals what is offered in a classroom setting. With a solid reputation that has established and made us made us one of the most trusted and reliable online course providers we offer the most convenient path to gain recognised skills and training that will give you the opportunity to put into practice your knowledge and expertise in your chosen career. You can learn at your own pace at Study 365 and you will be provided with all the necessary material, tutorials, qualified course instructor, narrated e-learning modules, interactive quizzes and free resources which include Free CV writing pack, free career support and course demo to make your learning experience enriching and more rewarding.

  • Visualize multiple forms of 2D and 3D graphs; line graphs, scatter plots, bar charts, etc.
  • Load and organize data from various sources for visualization
  • Create and customize live graphs
  • Add finesse and style to make your graphs visually appealing

The course will be directly delivered to you, and you have 12 months access to the online learning platform from the date you joined the course.  The course is self-paced and you can complete it in stages, revisiting the lectures at any time.

  • IT students
  • Job seekers
  • IT professionals
  • Learners must be age 16 or over.
  • Should have a basic understanding of the English Language, numeracy, literacy, and ICT.
  • Should have knowledge about Python.

At the end of the course, you will have one assignment to be submitted (you need a mark of 65% to pass) and you can submit the assignment at any time. You will only need to pay £19 for assessment and certification when you submit the assignment. You will receive the results within 72 hours of submittal, and will be sent a certificate in 7-14 days if you have successfully passed.

Those who successfully complete the course will be awarded the Data visualization with Python and Matplotlib certificate by CPD & iAP. The qualification will make you valuable to employers, and your motivation at gaining new skills will be recognised.

Harrison Kinsley is a husband, runner, friend of all dogs, programmer, teacher, and entrepreneur.

Harrison utilized his love for learning and building with technology to start multiple businesses, all of which leverage the Python programming language. Python programming is a major part of his life and work. He believes programming is a super power, and the social impact of making this education easily accessible to anyone is one of the most important things he can do with his life.

This certificate in Data visualization with Python and Matplotlib can supplement your professional qualifications and help improve your qualifications to wave your way through to a reputable job position in the IT field. For IT professionals, this could be the qualification for you to progress further in your career by putting you in line to demand for job promotions and salary increments from your organization. The job positions you can get ahold of with this course, along with the average UK salary per annum according to https://www.payscale.com/career-path-planner, is given below,

  • Data manager – £29,946 per annum
  • Software developer – £30,661 per annum
  • Senior software engineer – £46,513 per annum
  • Software development manager – £53,222 per annum
  • Written and designed by the industry’s finest expert instructors with over 15 years of experience
  • Repeat and rewind all your lectures and enjoy a personalised learning experience
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  • Eligible for TOTUM discount card
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  • Free Access to Over 150 courses for 2 days (48 hours)
  • Free access to course before you purchase (For selected courses only)

Course Curriculum

1: COURSE INTRODUCTION
Introduction 00:00:00
Getting Matplotlib And Setting Up 00:00:00
2: DIFFERENT TYPES OF BASIC MATPLOTLIB CHARTS
Section Introduction 00:00:00
Basic matplotlib graph 00:00:00
Labels, titles and window buttons 00:00:00
Legends 00:00:00
Bar Charts 00:00:00
Histograms 00:00:00
Scatter Plots 00:00:00
Stack Plots 00:00:00
Pie Chart 00:00:00
Loading data from a CSV 00:00:00
Loading data with NumPy 00:00:00
Section Conclusion 00:00:00
3: BASIC CUSTOMIZATION OPTIONS
Section Introduction 00:00:00
Source for our Data 00:00:00
Parsing stock prices from the internet 00:00:00
Plotting basic stock data 00:00:00
Modifying labels and adding a grid 00:00:00
Converting from unix time and adjusting subplots 00:00:00
Customizing ticks 00:00:00
Fills and Alpha 00:00:00
Add, remove, and customize spines 00:00:00
Candlestick OHLC charts 00:00:00
Styles with Matplotlib 00:00:00
Creating our own Style 00:00:00
Live Graphs 00:00:00
Adding and placing text 00:00:00
Annotating a specific plot 00:00:00
Dynamic annotation of last price 00:00:00
Section Conclusion 00:00:00
4: ADVANCED CUSTOMIZATION OPTIONS
Section Introduction 00:00:00
Basic suplot additions 00:00:00
Subplot2grid 00:00:00
Incorporating changes to candlestick graph 00:00:00
Creating moving averages with our data 00:00:00
Adding a High minus Low indicator to graph 00:00:00
Customizing the dates that show 00:00:00
Label and Tick customizations 00:00:00
Share X axis 00:00:00
Multi Y axis 00:00:00
Customizing Legends 00:00:00
Section Conclusion 00:00:00
5: GEOGRAPHICAL PLOTTING WITH BASEMAP
Section Introduction 00:00:00
Downloading and installing Basemap 00:00:00
Basic basemap example 00:00:00
Customizing the projection 00:00:00
More customization, like colors, fills, and forms of boundaries 00:00:00
Plotting Coordinates 00:00:00
Connecting Coordinates 00:00:00
Section Conclusion 00:00:00
6: 3D GRAPHING
Section Introduction 00:00:00
Basic 3D graph example using wire_frame 00:00:00
3D scatter plots 00:00:00
3D Bar Charts 00:00:00
More advanced Wireframe example 00:00:00
Section Conclusion 00:00:00
7: COURSE CONCLUSION
Conclusion 00:00:00

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