PUBLISHER :- Uplatz Training
LANGUAGE :- English
PRIZE :-
117.43$0$
Data Visualization in Python with Covid-19 Analysis Project
WHO CAN ACCESS THIS COURSE :-
- Information Analysts and Consultants
- Python Programmers and Developers
- Business Analysts and Consultants
- Anybody wishing to make a vocation in Business Intelligence, Visualization and Analytics
- Information Visualization Managers
- Information Engineers and Data Scientists
- Information Visualization Developers
- Information Architects
- Information Visualization Leads
- Novices and learners trying to become BI and Visualization experts
- Information Analysts – Python, Tableau, SQL
- BI Solutions Manager
- Announcing Analysts
- AI Professionals
WHAT ARE YOUR REQUIREMENTS FOR THIS COURSE ?
- Enthusiasm and determination to make your mark on the world!
WHAT YOU ARE GOING TO LEARN FROM THIS COURSE ?
- Instructions to utilize Python for Data Visualization
- Undeniable active Project on Data Visualization with Python – “Imagining Covid-19”
- Instructions to create helpful, natural and enlightening representations utilizing Python programming
- Prologue to Data Visualization – what it is, its significance and advantages
- Top Python Libraries for Data Visualization
- Prologue to Matplotlib, Install Matplotlib with pip
- Fundamental Plotting with Matplotlib
- NumPy and Pandas
- Information Visualization devices – Bar outline, Histogram, Pie graph
- More Data Visualization devices – Scatter Plot, Area Plot, Stacked Area Plot, Box Plot
- Progressed information Visualization devices – Waffle Chart, Word Cloud, Heat map
- Particular information Visualization apparatuses (I) – Bubble outlines, Contour plots, Quiver Plot
- Particular information Visualization apparatuses (II) – 3D Plotting in Matplotlib
- 3D Line Plot, 3 D Scatter Plot, 3D Contour Plot, 3D Wireframe Plot, 3D Surface Plot
- Seaborn – Introduction to Seaborn, Seaborn functionalities, Installing Seaborn
- Various classifications of plot in Seaborn, Some essential plots utilizing seaborn
- Information Visualization utilizing Seaborn – Strip Plot, Swarm Plot, Plotting Bivariate Distribution
- Dissipate plot, Hexbin plot, KDE, Regplot, Visualizing Pairwise Relationship, Box plot, Violin Plots, Point Plot
DESCRIPTION
Information Visualization with Python – course schedule
- Prologue to Data Visualization
- What is information representation
- Advantages of information representation
- Significance of information representation
- Top Python Libraries for Data Visualization
- Matplotlib
- Prologue to Matplotlib
- Introduce Matplotlib with pip
- Essential Plotting with Matplotlib
- Plotting at least two lines on a similar plot
- Numpy and Pandas
- What is numpy?
- Why use numpy?
- Establishment of numpy
- Case of numpy
- What is a panda?
- Key highlights of pandas
- Python Pandas – Environment Setup
- Pandas – Data Structure with model
- Information Visualization apparatuses
- Bar outline
- Histogram
- Pie Chart
- More Data Visualization apparatuses
- Disperse Plot
- Region Plot
- STACKED Area Plot
- Box Plot
- Progressed information Visualization instruments
- Waffle Chart
- Word Cloud
- Warmth MAP
- Particular information Visualization devices (Part-I)
- Air pocket graphs
- Form plots
- Quiver Plot
- Particular information Visualization devices (Part-II)
- Three-Dimensional Plotting in Matplotlib
- 3D Line Plot
- 3D Scatter Plot
- 3D Contour Plot
- 3D Wireframe Plot
- 3D Surface Plot
- Seaborn
- Prologue to seaborn
- Seaborn Functionalities
- Introducing seaborn
- Various classifications of plot in Seaborn
- Some fundamental plots utilizing seaborn
- Information Visualization utilizing Seaborn
- Strip Plot
- Multitude Plot
- Plotting Bivariate Distribution
- Dissipate plot, Hexbin plot, KDE, Regplot
- Envisioning Pairwise Relationship
- Box plot, Violin Plots, Point Plot
- Undertaking on Data Visualization
COURSE CONTENT
- 11 sections • 36 lectures • 22h 53m total length
Introduction to Data Visualization1 lecture • 25min
- Introduction to Data VisualisationPreview25:25
Matplotlib2 lectures • 52min
- Matplotlib – part 130:44
- Matplotlib – part 221:14
NumPy and Pandas3 lectures • 2hr 6min
- NumPy and Pandas – part 154:10
- NumPy and Pandas – part 241:10
- NumPy and Pandas – part 330:19
Data Visualization Tools3 lectures • 2hr 14min
- Data Visualisation Tools – part 149:49
- Data Visualisation Tools – part 237:01
- Data Visualisation Tools – part 347:31
More Data Visualization Tools3 lectures • 1hr 53min
- More Data Visualisation Tools – part 135:33
- More Data Visualisation Tools – part 240:32
- More Data Visualisation Tools – part 336:46
Advanced Data Visualization Tools3 lectures • 2hr 10min
- Advanced Data Visualisation Tools – part 133:42
- Advanced Data Visualisation Tools – part 258:41
- Advanced Data Visualisation Tools – part 337:45
Specialized Data Visualization Tools (I)3 lectures • 1hr 49min
- Specialized Data Visualisation Tools (I) – part 135:55
- Specialized Data Visualisation Tools (I) – part 232:04
- Specialized Data Visualisation Tools (I) – part 340:49
Specialized Data Visualization Tools (II)4 lectures • 2hr 23min
- Specialized Data Visualisation Tools (II) – part 141:41
- Specialized Data Visualisation Tools (II) – part 227:58
- Specialized Data Visualisation Tools (II) – part 330:18
- Specialized Data Visualisation Tools (II) – part 443:06
Seaborn3 lectures • 1hr 39min
- Seaborn – part 150:52
- Seaborn – part 224:38
- Seaborn – part 323:34
Data Visualization using Seaborn5 lectures • 3hr 5min
- Data Visualisation using Seaborn – part 131:37
- Data Visualisation using Seaborn – part 230:05
- Data Visualisation using Seaborn – part 343:18
- Data Visualisation using Seaborn – part 434:31
- Data Visualisation using Seaborn – part 545:53
Project on Data Visualization with Python6 lectures • 4hr 17min
- Project on Data Visualisation with Python – part 148:42
- Project on Data Visualisation with Python – part 250:02
- Project on Data Visualisation with Python – part 333:00
- Project on Data Visualisation with Python – part 443:32
- Project on Data Visualisation with Python – part 538:47
- Project on Data Visualisation with Python – part 642:53