This course offers a complete journey through the modern data analyst’s toolset, covering Excel PivotTables, Power BI, Power Query, Python, Alteryx, Tableau, Qlik Sense, and R. Start with advanced Excel techniques—from data importing and cleaning to dashboards and charts—then move into Power Query and DAX to automate and model data. Python is introduced step by step, guiding learners through basic programming, error handling, and scripting for data tasks.
Next, explore Alteryx for workflow automation and predictive analytics, build interactive dashboards in Power BI, and use DAX measures for dynamic reporting. Learn Qlik Sense for associative data modeling and storytelling, and R programming for data science basics and mini-projects. Visual storytelling is reinforced through Tableau, teaching data blending, expressions, and dashboard design.
With practical exercises and real-world scenarios, this course ensures learners build cross-platform fluency and confidence in transforming raw data into meaningful insights across industries.
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