Python for Data Visualization: The Complete Masterclass

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Meta Brains

3:30:49

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1. Setup & Installation

1. Installing the Anaconda Navigator.mp4

06:35

2. Installing Matplotlib, seaborn & cufflinks.mp4

03:01

3. Reading data from a csv file with pandas.mp4

02:40

4. Explaining Matplotlib libraries.mp4

06:43

2. Plotting Line Plots with matplotlib

1. Changing the axis scales.mp4

05:49

2. Label Styling.mp4

04:08

3. Adding a legend.mp4

04:12

4. Adding a grid to the chart.mp4

03:53

5. Filling only a specific area.mp4

06:37

6. Filling area on line plots and filling only specific area.mp4

03:53

7. Changing fill color of different areas (negative vs positive for example).mp4

02:53

3. Plotting Histograms & Bar Charts with matplotlib

1. Changing edge color and adding shadow on the edge.mp4

03:45

2. Adding legends, titles, location and rotating pie chart.mp4

05:46

3. Histograms vs Bar charts (Part 1).mp4

03:02

4. Histograms vs Bar charts (Part 2).mp4

01:38

5. Changing edge color of the histogram.mp4

02:48

6. Changing the axis scale to log scale.mp4

06:33

7. Adding median to histogram.mp4

03:46

8. Advanced Histograms and Patches (Part 1).mp4

03:37

9. Advanced Histograms and Patches (Part 2).mp4

04:39

10. Overlaying bar plots on top of each other (Part 1).mp4

04:09

11. Overlaying bar plots on top of each other (Part 2).mp4

01:22

12. Creating Box and Whisker Plots.mp4

11:18

4. Plotting Stack Plots & Stem Plots

1. Plotting a basic stack plot.mp4

12:54

2. Plotting a stem plot.mp4

04:43

3. Plotting a stack plot od data with constant total.mp4

04:24

5. Plotting Scatter Plots with matplotlib

1. Plotting a basic scatter plot.mp4

05:49

2. Changing the size of the dots.mp4

06:26

3. Changing colors of markers.mp4

05:16

4. Adding edges to dots.mp4

03:37

6. Time Series Data Visualization with matplotlib

1. Using the Python datetime module.mp4

03:10

2. Connecting data points by line.mp4

04:05

3. Converting string dates using the .to_datetime() pandas method.mp4

04:31

4. Plotting live data using FuncAnimation in matplotlib.mp4

03:47

7. Creating multiple subplots

1. Setting up the number of rows and columns.mp4

03:43

2. Plotting multiple plots in one figure.mp4

02:27

3. Getting separate figures.mp4

03:02

4. Saving figures to your computer.mp4

02:51

8. Plotting charts using seaborn

1. Introduction to seaborn.mp4

01:32

2. Working on hue, style and size in seaborn.mp4

05:11

3. Subplots using seaborn.mp4

04:54

4. Line plots.mp4

01:47

5. Cat plots.mp4

02:58

6. Jointplot, pair plot and regression plot.mp4

02:20

7. Controlling Plotted Figure Aesthetics.mp4

03:14

9. Plotly and Cufflinks

1. Installation and Setup.mp4

01:44

2. Line, Scatter, Bar, box and area plot.mp4

06:38

3. 3D plots, spread plot and hist plot, bubble plot, and heatmap.mp4

06:59

Description

Transforming Data into Insights: A Comprehensive Guide to Python-based Data Visualization

What You'll Learn?

Understanding the importance of data visualization, its role in data analysis, and the principles of effective visualization design.
Exploring popular Python libraries such as Matplotlib, and Seaborn, and learning how to leverage their functionalities to create a variety of visualizations.
Understanding how to customize and enhance visualizations by adjusting colors, labels, titles, legends, and other visual elements.
Understanding the principles of effective data storytelling and best practices for designing clear, impactful, and informative data visualizations.

Who is this for?

Individuals who are new to data visualization and have little or no prior experience with Python or programming.

Professionals working with data who want to enhance their data visualization skills to effectively communicate insights and findings.

Individuals with programming experience who wish to expand their knowledge and incorporate data visualization into their skill set.

Business Professionals: Managers, executives, and professionals from non-technical backgrounds who want to gain a practical understanding of data visualization to make informed decisions and effectively communicate data-driven insights.

Students and Researchers: Those studying data science, computer science, statistics, or related fields who want to strengthen their proficiency in visualizing and presenting data using Python.

Anyone Interested in Data Visualization: Enthusiasts, hobbyists, or curious learners who have an interest in data visualization and want to explore the capabilities of Python for creating impactful visualizations.

What You Need to Know?

The ability to do simple math

No programming experience needed

No prior data science knowledge required

Readiness, flexibility, and passion for learning

More details

Description
Use Python to build spectacular data visualisations and fascinate your audience. Join our transformativeÂ masterclass to master Python for data visualisation.
Visual storytelling is crucial in a data-driven environment. This comprehensive Python course will teach you how to turn raw data into stunning visualisations.
You'll learn how to maximise Matplotlib, Seaborn, andÂ PlotlyÂ via immersive hands-on activities and real-world examples. Python opens us a universe of data visualisation possibilities, from simple charts to heatmaps, time series visualisation, and geospatial mapping.
As you master every component of your visualisations, you may customise them to create stunning masterpieces that fascinate and engage your audience. Interactive dashboards will let people explore data and discover hidden insights.
This masterclass will teach data analysts, corporate leaders, researchers, and aspiring data enthusiasts how to use the most popular data visualisation programming language to have a lasting effect. Practical projects, real-world case studies, and industry experts will give you the confidence and skills to tackle any Python data visualisation challenge.
Avoid boring presentations that don't tell your data's story. Join us to use Python to visualise difficult data in beautiful, persuasive ways. Become a Python data visualisation expert and boost your career. Enrol today and unleash your creativity with Python.
Who this course is for:
Individuals who are new to data visualization and have little or no prior experience with Python or programming.
Professionals working with data who want to enhance their data visualization skills to effectively communicate insights and findings.
Individuals with programming experience who wish to expand their knowledge and incorporate data visualization into their skill set.
Business Professionals: Managers, executives, and professionals from non-technical backgrounds who want to gain a practical understanding of data visualization to make informed decisions and effectively communicate data-driven insights.
Students and Researchers: Those studying data science, computer science, statistics, or related fields who want to strengthen their proficiency in visualizing and presenting data using Python.
Anyone Interested in Data Visualization: Enthusiasts, hobbyists, or curious learners who have an interest in data visualization and want to explore the capabilities of Python for creating impactful visualizations.

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Data Visualization

Meta Brains

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Meta Brains is a professional training brand developed by a team of software developers and finance professionals who have a passion for Coding, Finance & Excel.We bring together both professional and educational experiences to create world-class training programs accessible to everyone.Currently, we're focused on the next great revolution in computing: The Metaverse. Our ultimate objective is to train the next generation of talent so we can code & build the metaverse together!

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