DATA VISUALIZATION

Setting the stage for your journey into data viz! Dive into data visualization, mastering the key principles for crafting impactful data stories. You'll get hands-on with popular data visualization tools and explore a palette of visual types, laying the foundation for your expertise.

• Importance and benefits of data visualization & creativity
• Key principles of effective data visualization
• Introduction to popular data visualization tools
• Exploring different types of visualizations

Gain the skills to expertly manage diverse data sources. Master cleaning, preprocessing, and transforming it using Python. We’ll dig into data exploration, aggregation, and summarization for impactful visualization.

• Data sources and datasets
• Data cleaning and transformation in Python
• Variable selection for visualization
• Data aggregation and summarization
• Workshop: Taming messy datasets

Assignment #1: Cleaning & Analyzing Data with Python
Start working with Python and Pandas to journey through data cleaning, column transformations, and insights-driven sorting and filtering, all while getting ready to craft a data analysis report.

Craft compelling narratives within your visualizations, incorporating impactful titles, labels, and annotations. Elevate your data into a realm of relatability, memorability, and profound impact through storytelling.

• Data validation and verification techniques
• Narratives and context in visualizations
• Effective titles, labels, and annotations

Assignment #2: Visualizing Data with Python
Harness the power of Pandas, Matplotlib, and Seaborn. You’ll be working with Line Plots, Area Plots, Histograms, Bar Charts, Pies, and more, creating a narrative from your dataset.

Gain the expertise to confidently tackle extensive datasets in Python, leveraging advanced techniques like chunking, parallel processing, memory optimization, and data type refinement. Discover the secrets to effective data analysis, seamless transformations, and efficient filtering.

• Managing large datasets in Python
• Effective data analysis techniques
• Data transformations and filtering in Python

Elevate your data storytelling by seamlessly weaving statistical measures and significance tests into your visualizations. You’ll learn to create compelling data presentations that spotlight intricate patterns and correlations through engaging scatter plots, heatmaps, and parallel coordinate plots.

• Statistical techniques for data visualization
• Statistical measures in visualizations
• Workshop: Effective data pattern visualization

Assignment #3: Statistics for Data Science & Analytics
Utilize statistics to craft customer profiles, employing descriptive statistics, Python data manipulation, and conducting and interpreting t-tests and chi-square tests for a comprehensive data analytics experience.

In Class 6, embrace the secrets of visual encoding, craft illuminating data visuals with Python libraries, wield colors and shapes expertly, and perfect interactive, narrative-rich presentations.

• Visual encoding principles and techniques
• Demo: Creating data visualizations with Python libraries
• Utilizing colors, shapes, and visual elements
• Interactive presentations and cohesive Narrative Flow

Assignment #4: Building Stunning Visualizations

Elevate your dashboard design skills as you craft interactive, user-friendly dashboards using industry-standard tools. Implement dynamic features, including filters, sliders, and drill-down functionalities, while establishing reusable pattern libraries for seamless visual design consistency.

• Interactive dashboard design (Tableau, Power BI, Python)
• Filter, slider, and drill-down implementation
• Reusable visual design patterns
• Case study: Dynamic elements and interactivity

Class 8 is all about exploratory data analysis with Python visualizations. Learn to identify patterns, detect outliers, and analyze trends. You’ll be visualizing confidence intervals and P-values, gaining the power to reveal hidden insights in your data.

• Exploratory data analysis techniques in Python
• Identifying data patterns, outliers, and trends
• Performing hypothesis testing with Python: T-Tests
• Visualizing confidence intervals and P-values

Assignment #5: Discover, Test, & Visualize Patterns in Bike Share Data (Python/R)
Import and prepare the dataset, dive into visualizations with scatter plots and histograms, analyze bike rental preferences through T-tests and plots, and explore the correlation between evening rentals and ride duration, backed by statistical insights.

Magic of time and space in data! Craft dynamic visualizations that breathe life into your insights by animating data over time, and delve into an interactive journey through temporal and geospatial patterns, all through the power of Python.

• Visualizing time series data in Python
• Geospatial visualization with Python libraries
• Dynamic storytelling through data animation
• Exploring temporal and geospatial patterns interactively

Assignment #6: Process, Analyze, & Visualize Time Series Data with Python & Pandas
You'll read, clean, and process time series data from the wild world of CSVs, align diverse datasets, and bring the numbers to life with charts and visualizations, all while focusing profitability, volatility, and instrument correlations.

Unlock the future of data visualization by delving into the latest trends and AI-powered interfaces. Learn to wield cutting-edge visualization techniques, propelling your data presentations into the future.

• Advanced visualization techniques & emerging trends
• AI-driven data visualization tools & techniques
• Workshop: Cutting-edge visualizations with AI algorithms

Learn to craft compelling data narratives with interactive flair, harnessing the power of multimedia elements and engaging storytelling techniques. Tailor your data presentations for diverse audiences, ensuring impactful communication.

• Crafting interactive data stories
• Enriching data narratives with multimedia
• Tailoring data presentations for diverse audiences
• Mastering engaging storytelling for data communication

Elevate your data pipeline mastery by honing your strategies for maintaining and updating interdependent data pipelines with precision, all while keeping a watchful eye on key ethical considerations.

• Ethical considerations in data visualization
• Impact of data changes
• Maintaining data pipelines

Assignment #7: Project: Data Visualization with Python & Storytelling Presentation
Using provided or your own dataset, craft a presentation that tackles a business question, supports it with hypotheses and data analysis using various tools, and presents it using data visualization to provide clarity and a persuasive narrative that could guide high-impact decisions or demystify complex subjects.