In this workshop, you will embark on a journey through the fascinating world of data visualization and ability to convey insights effectively through visuals is paramount. In this immersive workshop, we will empower you with the knowledge and skills to unleash the full potential of three powerhouse Python libraries: Pandas, Matplotlib, and Seaborn. Whether you’re a seasoned data scientist, a meticulous analyst, an inquisitive researcher, or anyone who grapples with data in their daily work, this workshop is meticulously crafted to provide you with the indispensable tools and techniques to elevate your data storytelling game.
Aim: To familiarize students with the stages of the visualization, mapping data attributes to graphical attributes, existing visualization paradigms, techniques, and tools, and evaluating the effectiveness of visualizations for specific data.
- Master Data Visualization Tools: The primary objective of this workshop is to empower participants with in-depth knowledge and practical expertise in using three of the most powerful Python libraries for data visualization: Pandas, Matplotlib, and Seaborn.
- Effective Data Storytelling: Equip participants with the skills to transform raw data into compelling and informative visual narratives that can be easily understood by diverse audiences.
- Hands-On Experience: Provide hands-on experience through practical exercises and real-world examples, ensuring that participants gain confidence in applying data visualization techniques in their own work.
- Data Exploration: Foster an understanding of data exploration techniques, including data cleaning, manipulation, and preprocessing using Pandas, as a crucial foundation for effective data visualization.
- Visualization Mastery: Enable participants to create a wide range of visualizations, from basic charts to complex interactive dashboards, using Matplotlib and Seaborn.
- Aesthetic and Insightful Visuals: Teach participants how to use Seaborn to enhance the visual appeal of their graphics while extracting meaningful insights from data.
- Cross-Domain Applications: Showcase the versatility of data visualization by exploring its applications in various domains, including business, research, healthcare, environmental science, social sciences, marketing, and more.
- Networking and Collaboration: Foster an environment for networking and collaboration among participants, encouraging the exchange of ideas and best practices in data visualization.
- Empower Diverse Professions: Tailor the workshop to cater to the specific needs and interests of participants from diverse professions, including students, educators, healthcare practitioners, entrepreneurs, government professionals, and more.
What you will learn?
- Knowing your Data
- Types of Data, Effectiveness of visualization across data types (categorical, ordinal and nominal),
- What is Data Visualization?
- Benefits of Data Visualization, univariate analysis, bivariate analysis, multivariate analysis.
- Introduction to numpy
- Visualization using pandas
- Concept of Dataframe, Setting up the environment.
- Line plot, bar plot, stacked plot, histogram, box plot, area plot, scatter plot, hex plot, pie plot
- Visualization using Matplotlib
- What is matplotlib? Setting up the environment.
- Line, scatter, hist, bar, pie subplot, box, doughnut, word clouds
- Visualization using Seaborn
- What is Seaborn? Setting up the environment.
- Customizing plots – background colour, grids, despine, scaling plots, scaling fonts and line widths Scatter plot – style and size, hue, jitter, swarm
- Plotting univariate distributions – histogram Plotting bivariate distributions – hexplot, kde plot
- Real life project
- Perform hands on Project using Kaggle Dataset
Intended For : Students Data Enthusiasts, Aspiring Data Analysts, Data Scientists, Researchers, Business Professionals, Educators, Healthcare Practitioners, Social Scientists, Environmentalists, Startups and Entrepreneurs, Government Professionals, Students and Academics, Marketing Professionals, Financial Analysts
Career Supporting Skills
- Proficiency in Data Visualization: Participants will gain a high level of proficiency in data visualization using Pandas, Matplotlib, and Seaborn, enabling them to create a wide range of informative and visually appealing graphics.
- Data Exploration Skills: Attendees will acquire the ability to explore and manipulate datasets effectively using Pandas, a crucial skill for data preprocessing and analysis.
- Visual Storytelling Mastery: Workshop participants will master the art of using data visualizations to tell compelling and insightful stories, making complex data more accessible to diverse audiences.
- Practical Application: Participants will be equipped with practical, real-world experience through hands-on exercises and case studies, allowing them to apply data visualization techniques immediately.
- Customization and Creativity: Attendees will develop the capability to customize and innovate with their visualizations, tailoring them to specific needs and audience preferences.
- Insights Extraction: Workshop attendees will learn how to extract meaningful insights from data through visualization, helping them make informed decisions and discoveries in their respective fields.
- Cross-Disciplinary Knowledge: The workshop will foster cross-disciplinary knowledge sharing and collaboration among participants, enriching their perspectives and expanding their horizons.
- Networking Opportunities: Participants will have the chance to network with peers, educators, professionals, and experts in the field, potentially leading to collaboration and future opportunities.
- Enhanced Communication Skills: The workshop will enhance participants’ ability to communicate complex data concepts effectively, benefiting their careers and educational pursuits.
- Versatility in Applications: Attendees will understand the versatility of data visualization, allowing them to apply these skills in a wide range of domains, including business, research, healthcare, environmental science, and more.
- Increased Confidence: Workshop participants will gain confidence in their data visualization capabilities, feeling well-prepared to tackle data-related challenges in their roles or academic endeavors.
- Valuable Resources: Participants will leave the workshop with valuable resources, reference materials, and a network of peers to support their continued growth in data visualization.
November 20, 2023,05:00 PM