The ‘Data Visualization with Python for Beginners’ course will teach you how to start visualizing all your data directly in your code. The course helps to customize your plots by adding colour and changing line styles and also teach how to customize your axis by changing the tick labels.
The course starts with some basic setup, and then get into different types of plots that you can create as well customize them. The course is usually available for INR 2,299 on Udemy but you can click on the link and get the ‘Data Visualization with Python for Beginners’ for INR 499.
Who all can opt for this course?
- Anyone with an interest in data analysis
- Whoever requires data visualisation
- Individuals who want to add data visualisation to their coding
- Anyone who wants to increase their understanding of Python
Course Highlights
| Key Highlights | Details |
|---|---|
| Registration Link | Apply Now! |
| Price | INR 499 ( |
| Duration | 09 Hours |
| Rating | 4.3/5 |
| Student Enrollment | 15,058 students |
| Instructor | Maximilian Schallwig https://www.linkedin.com/in/maximilianschallwig |
| Topics Covered | Python, Data Visualization, 3D Graphing & Animating |
| Course Level | Intermediate |
| Total Student Reviews | 3,786 |
Learning Outcomes
- In Python, create line graphs
- Python is used to create scatter plots
- Create histogram charts in one and two dimensions
- Change the line styles and add colour to your plots to make them more unique
- By altering the tick labels, you may personalise your axis
- Customize the labels and titles on your plots
- Customize your plots using text
- Be able to store your data to your computer in the format of your choice
- To better graph logarithmic data, alter the axis’ scale
Course Content
| S.No. | Module (Duration) | Topics |
|---|---|---|
| 1. | Setup and Installation (28 minutes) | Introduction to Matplotlib and Installing Anaconda |
| Jupyter Notebooks Intro | ||
| Inline Plotting | ||
| 2. | Line and Scatter Plots (01 hour 33 minutes) | Making a Scatter Plot |
| Understanding Figures | ||
| Creating Axes | ||
| Making a Line Plot | ||
| Exercise Sheet 1 Intro | ||
| Reading the Data From Txt File | ||
| Reading the Data From CSV File | ||
| Data Visualization Sheet 1 Exercise 1 Solution | ||
| Data Visualization Sheet 1 Exercise 2 Solution | ||
| 3. | Graph Customization, Annotation, and Formatting (03 hours 15 minutes) | Changing the X and Y Limits |
| Adding a Title and Axis Labels | ||
| Adding in Equations Into Text | ||
| Adding and Formatting Axis Ticks | ||
| Customizing Tick Labels | ||
| Data Visualization Exercise Sheet 2 | ||
| Data Visualization Sheet 2 Exercise 1 Solution | ||
| Data Visualization Sheet 2 Exercise 2 Solution | ||
| Adding a Legend | ||
| Adding Text Annotations | ||
| Customizing our Graph Edges | ||
| Using Plot Styles | ||
| Saving Our Plots | ||
| Data Visualization Exercise Sheet 3 | ||
| Data Visualization Sheet 3 Datetime Intro | ||
| Data Visualization Sheet 3 Exercise 1 Solution | ||
| Data Visualization Sheet 3 Exercise 2 Solution Part 1 | ||
| Data Visualization Sheet 3 Exercise 2 Solution Part 2 | ||
| Data Visualization Sheet 3 Exercise 2 Solution Part 3 | ||
| Data Visualization Sheet 3 Exercise 3 Solution | ||
| 4. | Histograms, Bar Graphs, Pie Charts, and Additional Graphs (02 hours 28 minutes) | Histograms |
| Advanced Histograms and Patches | ||
| Bar Graphs | ||
| Error Bars on Bar Graphs | ||
| Box and Whisker Plots | ||
| Pie Charts | ||
| 2-Dimensional Histograms | ||
| Data Visualization Exercise Sheet 4 | ||
| Data Visualization Sheet 4 Exercise 1 Sample Solution | ||
| Data Visualization Sheet 4 Exercise 2 Sample Solution | ||
| Data Visualization Sheet 4 Exercise 3 Sample Solution | ||
| Data Visualization Sheet 4 Exercise 4 Sample Solution | ||
| Data Visualization Sheet 4 Exercise 5 Sample Solution | ||
| 5. | Images and Color Scales (01 hour 07 minutes) | Loading and Showing Images |
| Colormaps | ||
| Adding a Colorbar to Our Axis | ||
| Data Visualization Exercise Sheet 5 | ||
| Data Visualization Sheet 5 Exercise 1 Sample Solution | ||
| Data Visualization Sheet 5 Exercise 2 Sample Solution Part 1 | ||
| Data Visualization Sheet 5 Exercise 2 Sample Solution Part 2 | ||
| 6. | 3D Graphing & Animating (36 minutes) | 3D Line and Scatter Plots |
| Changing View Angles and Animating Our Graphs | ||
| Data Visualization Exercise Sheet 6 Intro | ||
| Data Visualization Sheet 6 Exercise 1 Sample Solution |
Resources Required
- Basic Python skills
- A Python 3 Programming Environment has to be installed
Featured Review
Kelly Dean (5/5) : Wonderful introduction with getting those files into Python, Then taking that information ad plotting the data.
Pros
- Kate Zapletina (5/5) : Great course to get a deeper understanding of Visualization in Pyton
- Leo Prem (5/5) : Great to learn the basics of plotting, doesn’t go into detail but lets you get a glimpse on how data is visualized using matplotlib.
- Krishna Amaravadi (5/5) : Liked the way the course is being run in structured manner and also using the code editor,
Cons
- Salvador A. (2/5) : I started watching… but did you not even notice that your recoding cut off the left side of the code. Had to guess what you were typing.
- Jackylou V. (2/5) : The Instructor should have provided a context of what the goal of the course is all about, since it is titled as for “Beginners”, he should have given introductions before he started off something from the lectures.
- Avijit G. (2.5/5) : can’t understand something
About the Author
The instructor of this course is Maximilian Schallwig who is a Data Engineer. With 4.3 Instructor Rating and 7,258 Reviews on Udemy, Instructor offers 8 Courses and has taught 66,743 Students so far.
- Maximilian Schallwig have a physics bachelor’s degree and an astronomy master’s degree
- Maximilian Schallwig has been working in the data industry for the past five years, first as a data scientist and later as a data engineer
- The first time he created a basic blackjack game in Python is when it really “clicked” for him
- Maximilian Schallwig entered the realm of programming and data entirely by accident
- Programming puts him in a state of “flow,” which is said to be a sign that you actually love what you are doing
Comparison Table
| Parameters | Data Visualization with Python for Beginners | PYTHON – A to Z Full Course for Beginners | Django Core | A Reference Guide to Core Django Concepts |
|---|---|---|---|
| Offers | INR 499 ( | INR 455 ( | INR 455 ( |
| Duration | 9.5 hours | 25 hours | 24 hours |
| Rating | 4.3/5 | 4.3/5 | 4.6/5 |
| Student Enrollments | 15,053 | 54,064 | 86,309 |
| Instructors | Maximilian Schallwig | Joydip Ghosh | Justin Mitchel |
| Register Here | Apply Now! | Apply Now! | Apply Now! |
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