Scaling Power BI Adoption Within Your Organization | Governance 101

DataCamp · Beginner ·📊 Data Analytics & Business Intelligence ·1y ago
Power BI is one of the most popular tools for business intelligence. Unfortunately, buying a tool is not the same thing as getting value from that tool. You need to think about who needs to use the what in what ways, how to train your colleagues to effectively use that tool, and how to build usage into your workflows. In this session, leading BI consultants Ginger Grant and Stephanie Bruno teach you how to update your processes, upskill your team, and align with business strategy in order to get to business intelligence success with Power BI. Key Takeaways: - Learn how to align business intelligence goals with those of your business. - Learn how to empower your colleagues to make effective use of Power BI. - Learn how to improve collaboration between data and commercial teams. Check out additional Power BI resources! https://bit.ly/3R9NOgw
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 8 R Tutorial: The prior model
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 10 R Tutorial: The posterior model
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 11 R Tutorial: An Introduction to plotly
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 13 R Tutorial: Bivariate graphics
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 14 Python Tutorial: Customer Segmentation in Python
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 15 Python Tutorial: Time cohorts
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 17 Python Tutorial: Cohort analysis visualization
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 21 R Tutorial: Advanced layouts
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 23 Python Tutorial: Correlation of Two Time Series
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 28 R Tutorial: The arrange verb
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 31 R Tutorial: Distance between two observations
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 32 R Tutorial: The importance of scale
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 33 R Tutorial: Measuring distance for categorical data
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 34 Python Tutorial: Plotting multiple graphs
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 35 Python Tutorial: Customizing axes
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 36 Python Tutorial: Legends, annotations, & styles
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 37 Python Tutorial: Introduction to iterators
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 38 Python Tutorial: Playing with iterators
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 39 Python Tutorial: Using iterators to load large files into memory
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 40 SQL Tutorial: Introduction to Relational Databases in SQL
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 41 SQL Tutorial: Tables: At the core of every database
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 42 SQL Tutorial: Update your database as the structure changes
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 43 Python Tutorial: Classification-Tree Learning
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 44 Python Tutorial: Decision-Tree for Classification
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 45 Python Tutorial: Decision-Tree for Regression
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 46 Python Tutorial: Census Subject Tables
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 47 Python Tutorial: Census Geography
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 48 Python Tutorial: Using the Census API
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 49 R Tutorial: A/B Testing in R
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 50 R Tutorial: Baseline Conversion Rates
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 52 R Tutorial: Introduction to qualitative data
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 53 R Tutorial: Understanding your qualitative variables
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 55 SQL Tutorial: OLTP and OLAP
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 59 Python Tutorial: Statistical Models
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 60 Python Tutorial: Rule-based Matching
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