100% OFF Data Visualization in Python with Covid-19 Analysis Project

100% OFF | Data Visualization in Python with Covid-19 Analysis Project

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Data Visualization with Python – course syllabus

1. Introduction to Data Visualization

  • What’s data visualization
  • Benefits of information visualization
  • Significance of information visualization
  • Prime Python Libraries for Data Visualization

2. Matplotlib

  • Introduction to Matplotlib
  • Arrange Matplotlib with pip
  • Elementary Plotting with Matplotlib
  • Plotting two or further strains on the equivalent plot

3. Numpy and Pandas

  • What’s numpy?
  • Why use numpy?
  • Arrange of numpy
  • Occasion of numpy
  • What’s a panda?
  • Key choices of pandas
  • Python Pandas – Environment Setup
  • Pandas – Data Development with occasion

4. Data Visualization devices

  • Bar chart
  • Histogram
  • Pie Chart

5. Additional Data Visualization devices

  • Scatter Plot
  • Area Plot
  • STACKED Area Plot
  • Discipline Plot

6. Superior data Visualization devices

  • Waffle Chart
  • Phrase Cloud
  • HEAT MAP

7. Specialised data Visualization devices (Half-I)

  • Bubble charts
  • Contour plots
  • Quiver Plot

8. Specialised data Visualization devices (Half-II)

Three-Dimensional Plotting in Matplotlib

  • 3D Line Plot
  • 3D Scatter Plot
  • 3D Contour Plot
  • 3D Wireframe Plot
  • 3D Ground Plot

9. Seaborn

  • Introduction to seaborn
  • Seaborn Functionalities
  • Placing in seaborn
  • Utterly completely different courses of plot in Seaborn
  • Some elementary plots using seaborn

10. Data Visualization using Seaborn

  • Strip Plot
  • Swarm Plot
  • Plotting Bivariate Distribution
  • Scatter plot, Hexbin plot, KDE, Regplot
  • Visualizing Pairwise Relationship
  • Discipline plot, Violin Plots, Stage Plot

11. Project on Data Visualization

Who this course is for:

  • Data Analysts & Consultants
  • Python Programmers & Builders
  • Enterprise Analysts & Consultants
  • Anyone wishing to make a career in Enterprise Intelligence, Visualization and Analytics
  • Data Visualization Managers
  • Data Engineers & Data Scientists
  • Data Visualization Builders
  • Data Architects
  • Data Visualization Leads
  • Newbies and learners aspiring to turn into BI & Visualization professionals
  • Data Analysts – Python, Tableau, SQL
  • BI Choices Supervisor
  • Reporting Analysts
  • Machine Learning Professionals

WHAT WILL YOU LEARN IN THIS COURSE:

  • Strategies to make use of Python for Data Visualization
  • Full-fledged hands-on Project on Data Visualization with Python – “Visualizing Covid-19”
  • Strategies to develop useful, intuitive and informative visualizations using Python programming
  • Introduction to Data Visualization – what it is, its significance & benefits
  • Prime Python Libraries for Data Visualization
  • Introduction to Matplotlib, Arrange Matplotlib with pip
  • Elementary Plotting with Matplotlib
  • NumPy and Pandas
  • Data Visualization devices – Bar chart, Histogram, Pie chart
  • Additional Data Visualization devices – Scatter Plot, Area Plot, Stacked Area Plot, Discipline Plot
  • Superior data Visualization devices – Waffle Chart, Phrase Cloud, Heat map
  • Specialised data Visualization devices (I) – Bubble charts, Contour plots, Quiver Plot
  • Specialised data Visualization devices (II) – 3D Plotting in Matplotlib
  • 3D Line Plot, Three D Scatter Plot, 3D Contour Plot, 3D Wireframe Plot, 3D Ground Plot
  • Seaborn – Introduction to Seaborn, Seaborn functionalities, Placing in Seaborn
  • Utterly completely different courses of plot in Seaborn, Some elementary plots using seaborn
  • Data Visualization using Seaborn – Strip Plot, Swarm Plot, Plotting Bivariate Distribution
  • Scatter plot, Hexbin plot, KDE, Regplot, Visualizing Pairwise Relationship, Discipline plot, Violin Plots, Stage Plot

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