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- × Python for Data Visualization: The Complete Masterclass 1 × Original price was: £125.Current price is: £19.99.
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Python for Data Visualization: The Complete Masterclass

Python for Data Visualization: The Complete Masterclass

Python for Data Visualization equips you with the skills to create insightful, dynamic visuals from data, helping you make informed decisions and communicate trends effectively.

(9 Reviews)

Students

GET THIS COURSE AND 3000+ OTHERS FOR ONLY £49 PER YEAR. FIND OUT MORE

Python for Data Visualization: The Complete Masterclass is designed to equip learners with the essential tools to master the art of data visualization using Python. This comprehensive course covers popular libraries like Matplotlib, Seaborn, and Plotly, helping you transform raw data into visually compelling insights.

With the rise in data-driven decision-making across industries, this course is designed to meet the increasing demand for skilled professionals in the UK. Recent reports show that 67% of UK businesses now rely on data analytics to drive operational improvements and strategy. This course ensures you can stay ahead in this growing field.

In this “Python for Data Visualization: The Complete Masterclass,” course, you’ll start by learning setup and installation techniques, followed by detailed modules on creating line plots, scatter plots, histograms, and bar charts. You’ll also dive deep into advanced visualizations, such as 3D plots, box-and-whisker plots, and time series data.

Our Python for Data Visualization course is perfect for learners who want to streamline their Python visualization workflow and effectively communicate data-driven decisions. Enroll in “Python for Data Visualization: The Complete Masterclass” and unlock your potential to become a data visualization expert.

Learning Outcomes

By completing Python for Data Visualization: The Complete Masterclass, you will:

Master Python’s key visualization libraries like Matplotlib, Seaborn, and Plotly.
Handle real-world data by reading, cleaning, and visualizing datasets from CSV files.
Create various charts and plots such as line plots, histograms, and 3D plots.
Develop advanced techniques to overlay plots, create subplots, and enhance chart aesthetics.
Visualize time series and live data to interpret trends and real-time information effectively.

Why should you choose this course

Study at your own pace
Full Tutor support on weekdays (Monday – Friday)
CPD Qualification Standards and accredited
Efficient exam system, assessment, and instant results
Gain professional skills and better earning potential
No hidden fees or exam charges
Our customer support team is always ready to help you

Entry requirements

To enrol in Python for Data Visualization: The Complete Masterclass, you must be at least 16 years old with a basic understanding of Python. No prior experience in data visualization is required, but familiarity with data analysis concepts will be beneficial. This course is designed for beginners and professionals alike.

Assessment

To assess your learning, you will take an automated multiple-choice exam, requiring a minimum score of 60% to pass and qualify for CPD accredited certificates. Upon passing, you can apply for your certificate.

Additionally, to deepen your understanding and further evaluate your progress, you are encouraged to complete the assignment questions at the end of the course. These can be done at your convenience, and once submitted, an expert tutor will review your assignment and provide feedback on your performance.

Accredited Certification

After successfully completing the Python for Data Visualization: The Complete Masterclass course, you will be able to get the internationally accepted certificate to share your achievement with potential employers or include it in your CV.

Career path

Data Analyst
Business Intelligence Analyst
Data Scientist
Financial Analyst
Research Analyst

Course content

10 Sections 49 lectures 4 hours 40 mins in total

Python for Data Visualization: The Complete Masterclass

0 lectures • 0 m: 0 s

Setup & Installation

4 lectures • 20 m: 0 s

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

Plotting Line Plots with matplotlib

8 lectures • 41 m: 0 s

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

Plotting Histograms & Bar Charts with matplotlib

12 lectures • 54 m: 0 s

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 Stack Plots & Stem Plots

3 lectures • 1 hour 18 mins

Plotting a basic stack plot

00:13:00
Plotting a stem plot

00:05:00
Psychological Disorders

01:00:00

Plotting Scatter Plots with matplotlib

4 lectures • 21 m: 0 s

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

Time Series Data Visualization with matplotlib

4 lectures • 16 m: 0 s

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

Creating multiple subplots

4 lectures • 12 m: 0 s

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

Plotting charts using seaborn

7 lectures • 22 m: 0 s

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

Plotly and Cufflinks

3 lectures • 16 m: 0 s

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

After successfully completing the course, you will be able to get the and internationally accepted certificate to share your achievement with potential employers or include it in your CV.

Student Reviews

Excellent

4.5 Average 9 Reviews

Reviews

Great learning experience with iStudy. Clear lessons and easy to follow. Really impressed.

Loved the flexibility. Studied at my own pace and finished quickly.

Excellent course quality. I feel more confident in my skills now.

iStudy delivered exactly what I needed. Very smooth process.

Customer support was fast and helpful. Got answers straight away.

Great platform. Well-structured lessons and simple navigation.

Really happy with the experience. The certificate arrived quickly.

Clear teaching style and easy to understand. Highly recommend.

Self-paced learning was a huge benefit. Finished around my schedule.

Great value for money. Quality courses and helpful support.

I enjoyed learning with iStudy. Everything was straightforward.

Quick, simple and informative. Made studying stress-free.

Fantastic support team. They resolved my issue in minutes.

Course material was clear and engaging. Very happy overall.

Loved the layout and simple step-by-step lessons.

Prompt certificate delivery. Really impressed with the service.

Good quality courses and easy platform to use.

Very convenient. Learned at my own pace without pressure.

Great experience from start to finish. Worth every penny.

Clear content, supportive team and fast responses. Highly recommend iStudy.

Frequently Asked Question

Are there any prerequisites for taking the course?

There are no specific prerequisites for this course, nor are there any formal entry requirements. All you need is an internet connection, a good understanding of English and a passion for learning for this course.

Can I access the course at any time, or is there a set schedule?

You have the flexibility to access the course at any time that suits your schedule. Our courses are self-paced, allowing you to study at your own pace and convenience.

How long will I have access to the course?

For this course, you will have access to the course materials for 1 year only. This means you can review the content as often as you like within the year, even after you've completed the course. However, if you buy Lifetime Access for the course, you will be able to access the course for a lifetime.

Is there a certificate of completion provided after completing the course?

Yes, upon successfully completing the course, you will receive a certificate of completion. This certificate can be a valuable addition to your professional portfolio and can be shared on your various social networks.

Can I switch courses or get a refund if I'm not satisfied with the course?

We want you to have a positive learning experience. If you're not satisfied with the course, you can request a course transfer or refund within 14 days of the initial purchase.

How do I track my progress in the course?

Our platform provides tracking tools and progress indicators for each course. You can monitor your progress, completed lessons, and assessments through your learner dashboard for the course.

What if I have technical issues or difficulties with the course?

If you encounter technical issues or content-related difficulties with the course, our support team is available to assist you. You can reach out to them for prompt resolution.