Data Visualisation Training (One day Program)
What is Data Visualization?
Data visualization is the representation of data or information in a graph, chart, or other visual format. It communicates relationships of the data with images. This is important because it allows trends and patterns to be more easily seen/understandable.
Why do we need Data Visualization?
We need data visualization because a visual summary of information makes it easier to identify patterns and trends than looking through thousands of rows on a spreadsheet or read a 10 page document. It’s the way the human brain works.
How is data visualization used?
Data visualization has many uses. Each type of data visualization can be used in different ways. We’ll have hands on training on some of most commonly used charts as detailed below.
This one day training will give you enough confidence to adopt AI/ML approach and start working like a Data Scientist. No need to go for extensive training of AI/ML learning Python, R or Java programming languages( which is time taking)
Course Outline for one day training –
Pre-requisites:
- Python 3.7 or above must be already installed
- Jupyter (IDE) must be installed
Topics to be covered:
- Introduction to visualisation
- Packages used – Matplotlib, Seaborn, Heatmap
- Types of Plots
- Following Graphs will be discussed/hands on practised
- Bar chart
- Line plot
- Scatter plot
- Bubble Chart
- Pie Chart
- Histogram
- Box plot
- Boxen Plot
- Area Chart
- Stacked bar
- Heatmap
- Pair plot
- Ggplot
- Colour Palette
- Distribution plot
- Joint Plot
- RelPlot
- StripPlot
- Swarm Plot
- Catplot
- Violin plot
- Multiplot
- Factor Plot
- Funnel Plot
- LMPlot
- Dendogram
This one day training will infuse enough confidence in the participant, so that they can start using Visualization in their day to day working and will be in a position to take well informed decisions.
Those who want to learn AI/ML, can comfortably go either on a self-learning mode or can take further training to become a whole time Data Scientist.
