Advanced Data Analysis, Dashboards and Visualization Using Tableau
Advanced Data Analysis, Dashboards and Visualization Using Tableau


In this training session you will learn to turn your data into interactive dashboards, how to create stories with data and share these dashboards with your audience. You will get hands on training on how to create stories with dashboards and share these dashboards with your audience. We will begin with a quick refresher of basics about design and information literacy and discussions about practices for creating charts and storytelling utilizing best visual practices. Whether your goal is to explain an insight or let your audience explore data insights, using Tableau Public’s (free to use tool) simple drag-and-drop user interface makes the task easy and enjoyable.

You will learn to create various Table Calculations, Sets, Filters, Level of Detail expressions, Animations, predictive analytics using forecast functions and understanding Clustering. You will learn to integrate R and Tableau and how to use R within Tableau. Learn advance charts such as Waterfall charts, Pareto charts, Gantt Charts, Control Charts and Box and Whisker’s plot. You will also learn mapping, using parameters and other visual functionalities. You will learn about data preparation – joins, blending, union.

You will gain skills to analyze and visualize complex data sets with ease with minimum programming. In short, you will be guided using couple of data sets and will be taught to build a compelling and convincing story. You will build those stories with best visual practices. This session is for anyone who works with data is interested in building dashboards and communicate insights about data with stories.


Nirav Shah is the Founder of OnPoint Insights, a data analytics, software services and staff augmentation consultancy based in Boston. He has 15 years of industry experience - mainly in consulting on data analytics, big data modeling, process analytics and real-time data solutions, and training customers in data analytics,dashboards and data visualization.

He consults and teaches in applying data analytics for manufacturing, operations, supply chain, process control strategies with clients to improve manufacturing process and operational efficiency. He has implemented real- time process monitoring data analytics and fault detection systems for leading bio-pharma customers and clients from other industries such as chemical, pulp and paper, food and beverages. He helps customers in providing better process insights using data driven solutions.

He is also an Adjunct Professor at University of Massachusetts in Boston where he teaches Engineering Process Analytics, a graduate level class in Engineering Department, teaches Business Analytics and Dashboard Visualization at a technical college and conducts BootCamps and Workshops at General Assembly Boston. He has taught courses and conducted workshops to industry clients on Multivariate Data Analysis for ten years. He has spoken at various conferences ( ODSC East Boston, ODSC India, Global AI).

He completed his dual Masters in Chemical and Computer Engineering from University of Massachusetts and an MBA in Entrepreneurship from Babson College.

Open Data Science




Open Data Science
One Broadway
Cambridge, MA 02142

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