Python for Data Visualization: The Complete Masterclass

4.7( 1 REVIEWS )
Python for Data Visualization: The Complete Masterclass

Educational accomplishments and income are closely correlated. Education and skill with endorsed certificates from credible and renowned authorities typically lead to better jobs with attractive salaries. Educated and skilled workers also have lower rates of unemployment. Therefore, skills and endorsed certificates to showcase are essential for people early in their careers.

Imperial Academy offers this premium Python for Data Visualization: The Complete Masterclass course to ensure security in your career. In addition, this comprehensive Python for Data Visualization: The Complete Masterclass course will assist you in building relevant skills that will help you find a job in the related sectors. Also, the Certificate you’ll get after completing the Python for Data Visualization: The Complete Masterclass will put your head and shoulder above others in front of potential employers.

Become the person who would attract the results you seek. What you plant now, you will harvest later. So, grab this opportunity and start learning Python for Data Visualization: The Complete Masterclass!

Learn at your own pace from the comfort of your home, as the rich learning materials of this premium course is accessible from any place at any time. The advanced course curriculums are divided into tiny bite-sized audio-visual modules by industry specialists with years of experience behind them.

Course Curriculum

Setup & Installation
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
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
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
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 Scatter Plots with matplotlib
Plotting a basic scatter plot 00:07:00
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
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
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
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
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

Certificate of Achievement

Learners will get an certificate of achievement directly at their doorstep after successfully completing the course!

It should also be noted that international students must pay £10 for shipping cost.

CPD Accredited Certification

Upon successfully completing the course, you will be qualified for CPD Accredited Certificate. Certification is available –

Course Info

0 Enrolled
  • Development
  • Employability
  • IT & Software
  • £30
  • 1 year
  • Number of Units49
  • Number of Quizzes0
  • 3 hours, 45 minutes