Master Data Visualization
Unlock the power of data storytelling with our comprehensive training course designed for analysts and professionals.
This Course Includes
- 10 Sessions
- 30 Hours of Hands-on Training
- Tools like Tableau, Power BI, and Python
- Online Practical Training
- Learn Data Visualization Skills
- Practical Tasks, Lectures, and More
- Data Storytelling and Dashboard Design with Hands-on Training
Things You'll Learn
- Principles of effective data visualization
- Creating charts and dashboards with Tableau and Power BI
- Data wrangling and preparation for visualization
- Storytelling with data for business insights
- Advanced visualization with Python libraries
Course Content
Introduction to Data Visualization
- Overview of data visualization and its importance.
- Key principles: clarity, accuracy, and aesthetics.
- Types of visualizations: bar, line, pie, scatter, and more.
- Hands-on exercise: Creating a basic chart with Excel.
- Understanding data types: categorical, numerical, and temporal.
- Real-world examples: Visualizing sales trends and demographics.
- Tools overview: Tableau, Power BI, and open-source options.
- Best practices for choosing the right visualization.
- Introduction to color theory and design principles.
Data Preparation and Wrangling
- Fundamentals of data cleaning and preprocessing.
- Using Excel and Python (Pandas) for data wrangling.
- Hands-on lab: Cleaning a messy dataset in Python.
- Handling missing data, outliers, and duplicates.
- Data transformation: aggregation, filtering, and pivoting.
- Connecting to data sources (CSV, SQL, APIs).
- Hands-on exercise: Preparing data for visualization in Tableau.
- Real-world scenario: Prepping customer data for analysis.
- Ensuring data quality and consistency.
Visualization with Tableau and Power BI
- Introduction to Tableau: interface and workflow.
- Creating bar charts, line graphs, and heatmaps in Tableau.
- Hands-on lab: Building a sales dashboard in Tableau.
- Power BI basics: data import and visualization.
- Designing interactive reports in Power BI.
- Hands-on exercise: Creating a KPI dashboard in Power BI.
- Adding filters, slicers, and drill-downs.
- Real-world example: Visualizing financial performance.
- Sharing and publishing dashboards online.
Advanced Visualization with Python
- Introduction to Python libraries: Matplotlib, Seaborn, and Plotly.
- Creating static charts with Matplotlib.
- Hands-on lab: Plotting trends with Seaborn.
- Building interactive visualizations with Plotly.
- Customizing charts: colors, labels, and annotations.
- Hands-on exercise: Visualizing a dataset with Plotly Dash.
- Combining multiple visualizations into a single view.
- Real-world case study: Visualizing climate data.
- Exporting visualizations for reports and presentations.
Storytelling with Data
- Principles of data storytelling and narrative building.
- Designing visualizations for specific audiences.
- Hands-on lab: Crafting a story with Tableau dashboards.
- Using annotations and highlights effectively.
- Combining text and visuals for impact.
- Hands-on exercise: Presenting insights from a dataset.
- Real-world example: Telling a sales story for stakeholders.
- Best practices for data-driven decision-making.
- Final project: Building a complete visualization portfolio.
Why Choose This Course?
- Expert-led sessions by data visualization professionals
- Hands-on labs with real-world datasets
- Flexible online delivery to suit your schedule
- Comprehensive case studies and practical tasks
- Prepares you for data visualization certifications (e.g., Tableau Desktop)