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TDWI Data Visualization Principles and Practices
Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge.
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TDWI Analytics Principles and Practices: Delivering Business Insight from Data
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more.
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TDWI Predictive Analytics Principles and Practices
Analytics is a hot topic, but also a complex one. This continuously growing field now includes descriptive, diagnostic, predictive, and prescriptive analytics. Applied analytics including optimization, simulation, and automation expand the scope. Data growth also fuels the complexity—unstructured data, big data, social data, data streams, and more.
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TDWI BI and Analytics Executive Briefing
Business intelligence and analytics are at the heart of business management today. Everyone from executives to knowledge workers depends on information to maximize business effectiveness and efficiency.
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Hands-On: Advanced Analytics for Everyone with Excel–Logistic Regression Made Easy
In this hands-on class you will learn the fundamentals of applying logistic regression to business data using Excel.
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TDWI Information Dashboard Design: Dashboard Development and Performance Management
Information dashboards are an essential modern method for delivering information and intelligence. Dashboards range from local and individual dashboards developed using self-service BI tools to enterprise dashboards engineered, implemented, and supported by BI and IT organizations.
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Advanced Analytics: Leveraging Data Science and Machine Learning Techniques to Gain Data Insights
Analytics encompasses many skills and disciplines. Identifying the problem, choosing the modeling approach, selecting the correct features to model, and evaluating the result are at the heart of analytics. The tendency, however, is to focus primarily on the technology rather than the process.
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Hands-On: Applied Machine Learning in R
R is the one of the most popular machine learning tools in use today. This course focuses on taking concepts in machine learning and applying them in practical ways. Common algorithms such as regression, clustering, and classification are explained, applied, and evaluated using R.
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Data Storytelling for Business Impact
The explosion of data has made data visualization a core competency for organizations as insights can no longer be derived from rows and columns. Analytical insights start and end with the story and storytelling skills are essential for understanding the message and gaining value from the data.
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TDWI Data Visualization Principles and Practices
Data visualization has rapidly become a critical part of business analytics and business communications. Without visualization, the numbers and statistics of analytics are difficult to interpret and incomprehensible to many who need to turn data into knowledge.
more