Course description
The process of translating information into a visual environment, such as a map or graph, is known as data visualization. The goal of data visualization is to make it simpler for the human brain to comprehend data and derive insights from it. In the fast-paced corporate landscape, data visualization is one of the most impactful ways to communicate complex data and has the power to shape our understanding of the world around us.
What is the need for data visualization in a present business environment?
When used effectively, data visualization can tell complex stories and draw meaningful conclusions from data. It can be a starting point for more complex analysis, such as building a predictive model or performing an experiment. Data visualization coupled with Storytelling is a key skill for anyone hoping to communicate their data in a compelling and impactful way. The best data visualization tells a story and helps readers draw conclusions and insights. As data becomes increasingly available and sophisticated software tools become more accessible, the demand for data visualization has never been greater. It has enabled users to make sense of vast information with minimal effort.
Upcoming start dates
Suitability - Who should attend?
Who should attend?
Rcademy’s Data Visualisation and Storytelling course is ideal for any professional or student working with any data or aims to work in a data-driven field:
- Data analysts
- Data managers
- Department heads, managers, supervisors
- Marketing professionals
- Finance professionals
- Business analysts
- New graduates
- Research Scholars
Outcome / Qualification etc.
Rcademy’s Data Visualisation and Storytelling course aims to achieve the following objectives:
- Learn to choose the best visualization for your dataset
- Learn to convey the key points of a dataset quickly and clearly
- Understand how to interpret common plot types such as histograms, scatter plots, line plots, bar plots, etc.
- Discover hidden insights in the data that would otherwise be difficult to find
- Learn to search and analyze data in new ways
- Become adept at identifying trends and patterns that wouldn’t be as clear if the data were presented in raw form
- Discover the art of transforming information into Storytelling to derive deeper emotional responses from the audience
- Understand creating a powerful dashboard that allows users to quickly understand the key metrics they need to make decisions
- Deliver visually appealing reports and presentations
- Learn the art of presenting data in engaging story form
- Understand how data visualization and Storytelling can trigger a relevant response from the target audience
- Understand the functioning of the latest tools and software used for data visualization, such as Excel.
Training Course Content
Module 1: Data Visualisation Foundation
- Data Ecosystem
- Principles of data visualization
- Application and scope of data visualization
- Selecting the best visualization tools
- Users of data visualization
- Popular tools for data visualization
Module 2: Data visualization using Excel
- Steps in creating data visualization in Excel
- Conditional formatting
- Timelines, Gantt charts, highlight tables
- Creating combination charts
- Data labels
Module 3: Data visualization with R
- Types of data visualizations offered by R
- Fundamentals of R
- Advantages and disadvantages of data visualization in R
- Univariate and Bi-variate graphs
- Areas of Application
Module 4: Dashboarding
- Benefits of using a dashboard- visualizing KPIs, increased collaboration
- Creating a dynamic dashboard
- Design principles
- Process in the building: importing data, determining KPIs
- Types of dashboards
- Dashboard designs
Module 5: Preparation of Charts
- What type of chart should I use?
- Bar graphs- data suitable, types
- Pie charts- data suitable, types
- Histograms- data suitable, types
- Line graphs- data suitable, types
- Scatter plots- data suitable, types
Module 6: The Art of Storytelling
- Data Storytelling and Why is it essential
- Finding the story in the data
- Story components
- Mechanisms of the story
Module 7: Visualisation of spatial data
- Use of the mapping
- Types of maps: heat map, cluster map, dot map
- Visualization of trees and networks
- Methods Used for geospatial data visualization
Module 8: Significance of Color, Size, and Shape in data visualization
- Encoding data using color and size
- Encoding categorical data
- Making associations through colors
- Using colors to trigger emotions
Module 9: Interactive techniques
- Interactive data visualisation
- Interactive techniques: brushing, painting, scaling, linking
- Principles of interactive techniques: accessible, actionable, available
- Static Vs. Interactive
Module 10: Emerging Trends of Data Visualisation
- Video visualization
- Storytelling
- Real-time visualisation
- Data democratization
- Social media data visualization
Module 11: Working with the project
- Practicing data visualization
- Creating charts using given datasets
- Excel activity
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Rcademy is a global training and consultation organisation set out to bridge the gap between you now and what you can be in the near future. We are facilitators of knowledge impartation. Our team of established and experienced training enthusiasts...