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Combine Excel, SQL, and Tableau to analyze business data, build interactive dashboards, and communicate insights for better decisions.
Use Microsoft Power BI to build and interpret regression, classification, clustering, and time-series forecasting models for business decisions.
Explore the business intelligence analyst role: types of analytics, the data analytics lifecycle framework, foundational project management skills for analysts, and data literacy.
Build data visualizations in Tableau Public: connect to data sources, preprocess and clean data, and combine multiple tables within and across sources.
Build charts, geographic maps, and interactive tables in Tableau Public, connecting and preparing data and formatting visualizations to communicate insights to business stakeholders.
Learn the business analysis process: assess a business problem, identify and analyze stakeholders, elicit and analyze requirements, build visual models, and write a business requirements document.
Compare data sources from spreadsheets to databases, data warehouses, data lakes, and ETLs, and apply data quality, data governance, and modern data architecture principles.
Prepare and explore data in Tableau Public: apply preprocessing and aggregation, then build histograms, box plots, and scatter plots with trend lines to report insights.
Build advanced Tableau charts — dual-axis, bar-in-bar, Gantt, donut, funnel, waterfall, sparkline — and spatial visualizations using maps, map customization, and polygon spatial data.
Build interactive dashboards and stories in Tableau Public with tooltips and annotations, and apply data storytelling principles to turn patterns into insights for stakeholders.
Learn to connect and preprocess data sources in Tableau, build advanced and spatial visualizations, and apply data storytelling to present business insights, preparing for the Desktop Specialist Exam.
Use financial analysis, cash flow management, Tableau, and financial models to support data-driven business decisions.
Build business analytics skills using fundamental statistics, Excel, and SQL to wrangle, transform, visualize, and query data.
Learn to turn business data into interactive visualisations, charts, dashboards, and stories with Tableau.
Build data visualisations in Python with Matplotlib, Seaborn, and Bokeh, progressing from visual analysis and scatter plots to advanced layouts.
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