In this lecture session we discuss about Bi concepts, examples and application of business intelligence and data analytics and also cover other concepts of BI.

In this lecture session we learn about basic concepts of BI and also cover factors of business intelligence in brief.

In this lecture session we learn about data warehouse data access and data dashboarding and also cover presentation in BI.

In this lecture session we learn about product database, advertise database and customer demographic database and also cover data analyst concepts.

In this lecture session we learn about basic introduction of business intelligence and also cover factors of business intelligence in brief.

In this lecture session we learn about introduction of predictive modeling and also cover functions of predictive modeling in brief.

In this lecture session we learn about data related to customer services and also talk about customer relation databases in brief.

In this lecture session we learn about introduction of NoSQL and also cover basic functions of NoSQL in business intelligence.

In this lecture session we learn about graph stores and also talk about the advantages and disadvantages of graph stores in BI.

In this lecture session we learn about hierarchical clustering in business intelligence and also talk about clustering factors in BI.

In this lecture session we learn about introduction of salesforce in business intelligence and also talk about some basic uses of salesforce.

In this lecture session we learn about introduction to NLP and also cover what is natural language processing in artificial intelligence.

In this lecture session we learn about natural language processing speech to text conversion and also cover the importance of natural language processing.

In this lecture session we learn about introduction of apache server in business intelligence and also talk about basics of apache server.

In this lecture session we learn about deep drive into business intelligence and also talk about factors or deep drive in business intelligence.

In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

In this lecture session we learn about types of data in business intelligence and also talk about different types of data in BI.

In this lecture session we learn about mobile BI and also talk about open source BI software replacing vendor offering.

In this lecture session we learn about real time BI in business intelligence and also talk about factors of real time BI in brief.

In this lecture session we learn about data analytics comprehensively and also talk about functions of data analytics.

In this lecture session we talk about data analytics vs business analytics and also talk about the importance of data analytics.

In this lecture session we learn about Embedded analytics and also talk about functions of Embedded analytics in data analytics.

In this lecture session we learn about collection analytics and also cover the importance of collection analytics.

In this lecture session we learn about survival analytics and also cover duration analytics in brief.

In this lecture session we learn about machine learning techniques and also cover the importance and factors of machine learning techniques in business intelligence.

In this lecture session we learn about geospatial predictive analytics and also talk about functions of geospatial predictive analytics in business intelligence.

In this lecture session we learn about cohort analysis in data analyst and we also cover functions and importance of cohort analysis.

In this lecture session we learn about data mining in business intelligence and also talk about data mining functions and why we need data mining in business intelligence.

In these lecture sessions we learn about anomaly detection and also talk about functions of anomaly detection in brief.

In these lecture sessions we learn about statistically sound association and also talk about factors of statistically sound association in business intelligence.

In this lecture session we learn about cluster analysis. We’ll cover all types of cluster analysis in brief and also cover the importance of cluster analysis in business analysis.

In this lecture session we learn about DBSCAN in business intelligence and also talk about DBSCAN functions and importance.

In this lecture session we learn about regression models in business intelligence and also talk about the function of regression models.

In this lecture session we learn about extraction based summarization in business intelligence and also cover all types of summarization in data analyst.

In this lecture session we learn about machine learning in BI and also talk about factors and importance of machine learning in brief.

In this lecture session we learn about machine learning vs BI we also discuss the basic difference between machine learning and business intelligence.

In this lecture session we learn about how ml can make BI better and also talk about ml basic functions.

In this lecture session we learn about data warehousing and also talk about how we manage data warehousing in business intelligence.

In this lecture session we learn about data warehousing in business intelligence and data analytics and also talk about factors and features of data warehousing.

In this lecture session we learn about data mart in business intelligence and also talk about data mart function.

In this lecture session we learn about data dimensions in business intelligence and also cover all types of data dimension in BI.

In this lecture session we learn about data dimension in business intelligence and also cover functions and importance of data dimension.

In this lecture session we learn about data vault modeling in business intelligence and also cover different types of vault modeling in brief.

In this lecture session we learn about links and satellites and also cover the importance and factors of links and satellites in business intelligence.

In this video lecture we learn basic about Tableau. Tableau is a business intelligent tool for visually analysing the data.

In this video we talk about Tableau Desktop Basics and also cover all the Basic topics of Tableau Desktop.

In this video we learn how to install Tableau business intelligent tool into your desktop and process of Tableau Desktop Installation.

In this video we about Tableau Desktop Workspace Navigation and cover all the importance of Tableau Desktop Workspace Navigation.

In this session we talk about Tableau Design Flow and also cover all the different types of Tableau Design Flows.

In this video we learn about Connections to Multiple Data Sources and cover all techniques of data sourcing.

In this video we talk about Hands-on - Tableau Data Connection and also cover different between live and exact Tableau Data Connection.

In this session we learn basic about Tableau Filters and different types of filters we can use in Tableau business tool.

Data can be organized and simplifies by using various techniques in Tableau. In this session we also cover types of filters and condition of filters in Tableau.

In this session we learn about Tableau Operators. Types of Tableau Operators and how to use these Tableau Operators.

In this video we talk about Bins - Groups - Sets – Parameters and also cover all the parameters we use in Tableau.

In this session we learn about Hands on - Tableau Sets and cover all different sets in Hands on - Tableau Sets..

In this session we talk about Basic Tableau Charts and learn about different types of charts.

In this video we talk about Hands on - Basic Tableau Charts how to make pie chart and importance of charts in Tableau business tool.

In this lecture we learn the Tableau Advanced Topics like Advance graphs, LODS and its usage and extensions etc.

In this video we talk about Tableau Extensions and cover all different types of extensions in a single video.

In this Lecture section we talk and overview the Tableau Dashboards and explore the Dashboards of Tableau.

In this lecture session we talk about the Tableau Story. In Tableau story is a sequence of visualization that work together to convey the information.

In this video we talk about Tableau LODs extension and importance of LODs extension in Tableau business tool.

In this lecture session we talk about Tableau Actions and also cover all Actions filters.

In this session you will learn about the Business intelligence (BI) which combines business analytics, data mining, data visualization, data tools and infrastructure, and best practices to help organizations to make more data-driven decisions

In this session we will introduce you about Tableau which is a widely used business intelligence (BI) and analytics software trusted by companies like Amazon, Experian, and Unilever to explore, visualize, and securely share data in the form of Workbooks and Dashboards. With its user-friendly drag-and-drop functionality it can be used by everyone to quickly clean, analyze, and visualize your team’s data.

This session is all about the history of Tableau which was founded by Pat Hanrahan, Christian Chabot, and Chris Stolte from Stanford University in 2003. The main idea behind its creation is to make the database industry interactive and comprehensive.

In this tutorial, we will discuss the Tableau interface and understand its functioning in detail. Followed by the general understanding of Tableau’s working. Along with this, we will learn the Components of Tableau Server.

In this session, you will get to know how to use Tableau Prep Builder to clean and prepare your data, start a new flow by connecting to your data, just like in Tableau Desktop. You can also open an existing flow and pick up where you left off.

In this video, once you have chosen the best Tableau product for you, it is time to start finding insights in your data! Much like Tableau’s suite of products, data connections come in many shapes and sizes. As of this writing, Tableau Desktop: Personal has four different types of data connections, and Tableau Desktop.

This session teaches you about the Data blending which is a method for combining data from multiple sources. Data blending brings in additional information from a secondary data source and displays it with data from the primary data source directly in the view.

If you are connected to a data source that has been modified, you can immediately update Tableau Desktop with the changes by selecting a data source on the Data menu and then selecting Refresh.

In this Tableau tutorial, we are going to study about what is sorting in Tableau. We will also discuss how to use Quick Sort in Tableau. At last, we will see why is my king broken and combined filed. Tableau sort is the process of arranging or ordering the data in Ascending Order or Descending Order.

In this video, we will show you How to perform sorting in Tableau reports with example. For this Tableau sort demo, we are going to use the report we created in our previous article.

In this tutorial, we will show you How to perform grouping in Tableau reports with example. For this Tableau Grouping demo, we are going to use the report we created in our previous article. Tableau Grouping is the process of merging or combining two or more values for further analysis.

In this video, we will show you How to perform grouping in Tableau reports with example? For this Tableau Grouping demo, we are going to use the report we created in our previous video.

In this video, we will show you how to create Tableau Set, Constant Sets, and Computed Sets. First, Drag and Drop the State Name from Dimension Region to Rows Shelf and Profit from Measures region to Columns Shelf.

In addition to a Set Action, you can also allow users to change the membership of a set by using a filter-like interface known as a Set Control, which makes it easy for you to designate inputs into calculations that drive interactive analysis. For details, see Show a set control in the video.

In this session you begin filtering data in Tableau, it's important to understand the order in which Tableau executes filters in your workbook. Filtering is an essential part of analyzing data. This article describes the many ways you can filter data from your view. It also describes how you can display interactive filters in the view, and format filters in the view.

In this video you will get to know about filtering which is an essential part of analyzing data. This article describes the many ways you can filter data from your view. It also describes how you can display interactive filters in the view, and format filters in the view.

In this tutorial, we will learn about another interesting and useful feature of Tableau that is Tableau parameters. Here, we will try and gain a good understanding of the parameters in Tableau and their use in Tableau. We will start by discussing the definition of parameters followed by learning how to create parameters and use them in Tableau.

In this session you will understand how to use parameter actions to let your audience change a parameter value through direct interaction with a viz, such as clicking or selecting a mark. You can use parameter actions with reference lines, calculations, filters, and SQL queries, and to customize how you display data in your visualizations.

In this Tableau tutorial, we will study What is Tableau Reference Lines, functions of Reference lines in Tableau and the steps involved in creating / Adding reference lines to the Tableau Bar Chart. At last, we will how to create reference lines in Tableau with example. So, let us start Tableau Reference Lines.

In the tutorial you will get to know how to show trend lines in a visualization to highlight trends in your data. You can publish a view that contains trend lines, and you add trend lines to a view as you edit it on the web. When you add trend lines to a view, you can specify how you want them to look and behave.

In this Tableau tutorial, you will learn about the story which is a sequence of visualizations that work together to convey information. You can create stories to tell a data narrative, provide context, demonstrate how decisions relate to outcomes, or to simply make a compelling case.

In this session you will understand how to Use stories to make your case more compelling by showing how facts are connected, and how decisions relate to outcomes. You can then publish your story to the web or present it to an audience. Each story point can be based on a different view or dashboard, or the entire story can be based on the same visualization seen at different stages, with different filters and annotations.

In this video, we will show you, How to Format Tableau Dashboard Layout with an example. For this, we are going to use the below-shown dashboard. Once you created your dashboard (added required Sheets), you can use the layout tab to format those Sheets or Items as per your requirements.

Tableau Layout Containers control the spacing between dashboard components. They allow you to format common elements and move multiple dashboard objects at the same time. 

In our last Tableau tutorial, we discuss How to Format Tableau Dashboard Layout. Here, in this tutorial, we are going to learn about How to Tableau Interactive Dashboard with Data Granularity, Interactivity, and Intuitiveness in Tableau. In other word or in general words we can call this playing with maps in a tableau. so, let us start with How to Create Tableau Interactive Dashboard.

This tutorial walks you through some of the most common tasks you might perform when creating maps in Tableau. You’ll learn how to connect to and join geographic data; format that data in Tableau; create location hierarchies; build and present a basic map view; and apply key mapping features along the way. If you're new to building maps in Tableau, this a great place to start.

This tutorial describes how to create and use calculated fields in Tableau using an example. You'll learn Tableau calculation concepts, as well as how to create and edit a calculated field. You will also learn how to work with the calculation editor, and use a calculated field in the view. If you're new to Tableau calculations or to creating calculated fields in Tableau, this is a good place to start.

You can build several different types of maps for your geographic analysis in Tableau. If you're new to maps, or simply want to take advantage of the built-in mapping capabilities that Tableau provides, you can create a simple point or filled (polygon) map.

You can always customize a table calculation by editing it in the Table Calculations dialog box, but there are other, more specialized ways to customize a table calculation.

This video introduces the basics of understanding calculations in Tableau. In this topic, you'll learn why and when to use calculations.

This session explains the types of LOD expressions you can use in Tableau, as well as when to use them, and how to format them. It also uses an example to demonstrate how to create a simple LOD expression. Level of Detail expressions (also known as LOD expressions) allow you to compute values at the data source level and the visualization level. However, LOD expressions give you even more control on the level of granularity you want to compute.

To edit a table calculation Right-click the measure in the view with the table calculation applied to it and select Edit Table Calculation. In the Table Calculation dialog box that appears, make your changes.

Tableau can create interactive visualizations customized for the target audience. In this tutorial, you will learn about the measures, chart types and its features.

When you save a level of detail expression, Tableau adds it to either the Dimensions or the Measures area in the Data pane. FIXED level of detail expressions can result in measures or dimensions, depending on the underlying field in the aggregate expression.

In this Tableau tutorial, we are going to learn about using a Histogram in Tableau. Here, we will find answers to questions like what is a histogram, and how do we create it in our Tableau software.

In this tutorial, 'Sample-Superstore.csv' is used for the demonstration. You can connect to the data source and follow the steps given in the tutorial. Tableau can create interactive visualizations customized for the target audience. In this tutorial, you will learn about the measures, chart types and its features.

In this Tableau Tutorial, we are going to learn about an interesting chart that is a bubble chart or packed bubble chart. Here, we will learn how to create a bubble chart in Tableau in a stepwise manner. You can create your first Tableau bubble chart with us on your own device. All you need, as of now is a sample data set and Tableau software in your device.

A histogram is a chart that displays the shape of a distribution. A histogram looks like a bar chart but groups values for a continuous measure into ranges, or bins.

Tableau Bubble Chart is used to display the data in circles. We can define each bubble using any of our Dimension members and size by Measure value.

In this tutorial we will learn about Tree maps which are the relatively simple data visualization that can provide insight in a visually attractive format. Use packed bubble charts to display data in a cluster of circles. Dimensions define the individual bubbles, and measures define the size and color of the individual circles.

In this Video we will get to know about the best practices which are key to developing informative visualizations that drive your audience to act. A dashboard is successful when people can easily use it to derive answers. Even a beautiful dashboard with an interesting data source could be rendered useless if your audience can’t use it to discover insights.

Tableau Tutorial provides basic and advanced concepts of Tableau. Our Tableau Tutorial is designed for beginners and professionals both. Tableau is a data visualization tool or business intelligence tool which analyzes and shows data in a chart or report fast. It is very easy to use, because it does not require any programming skill.

In this tutorial, we are going to learn about data sources or data connections in Tableau. We will start with the basics and explore in detail how to make connections with different types of data sources in Tableau. So, let’s get started.

In this tutorial, we will discuss about Dimensions and Measures, what they are and how we use them.

This tutorial walks you through the features and functions of Tableau Desktop. As you work through this tutorial, you will create multiple views in a Tableau workbook. The steps you'll take and the workbook you'll work in are based on a story about an employee who works at headquarters for a large retail chain. The story unfolds as you step through asking questions about your business and its performance.

Building Basic Views

In this session you will learn to combine dimensions if you want to encode a data view using multiple dimensions.

In this tutorial, Measures can share a single axis so that all the marks are shown in a single pane. To blend multiple measures, drag one measure or axis and drop it onto an existing axis.

Building a table of multiple measures in Tableau is straightforward. You can build the table using only two pills. Use the dimension Measure Names and the measure Values. This also works to compare multiple measures side by side in a Tableau bar chart. Building the multiple measures bar chart is covered towards the end of this video.

This tutorial walks you through some of the most common tasks you might perform when creating maps in Tableau.You'll learn how to connect to and join geographic data; format that data in Tableau; create location hierarchies; build and present a basic map view; and apply key mapping features along the way.

In this Tableau Tutorial, you will learn how to apply filters on data in a Tableau workbook. Here, you will learn about applying simple Tableau filters on data visuals as well as about some advanced types like extract filters, interactive filters, etc. So, open your Tableau Desktop and learn with us!

Tableau provides the ability to filter individual views or even entire data sources on dimensions, measures, or sets. What’s more, most of these filters can be put into the hands of you and your end users to change – a powerful tactic for finding stories in the data.

The filters can be applied in a worksheet to restrict the number of records present in a dataset. Various types of filters are used in Tableau Desktop based on different purposes. The different types of filters used in Tableau. The name of filter types is sorted based on the order of execution in Tableau.

Data joining is a very common requirement in any data analysis. You may need to join data from multiple sources or join data from different tables in a single source. Tableau provides the characteristics to join the table by using the data pane available under Edit Data Source in the Data menu.

Data Blending is a very powerful feature in Tableau. It is used when there is related data in multiple data sources, which you want to analyze together in a single view.

Hierarchies are logical relationships between categories such as Country, State, City. Groups are selections of attributes that you may want to examine because they are outliers or of a specific type.

This video puts together different Tableau Charts with the type of data you’re analyzing and questions you want to answer, to help you find the appropriate chart for your needs.

Cascading filters are filters in which the selections in the first filter can change the options in the second filter to limit them to only those values that are relevant to the first filter.

As tableau being a visual intelligence tool, we can display the output in the form of visuals. If you want to display the values associated in the form of image, then we can be able to perform the imaged processing in tableau.

Sorting of data is a very important feature of data analysis. Tableau allows the sorting of data of the fields, which are called dimensions.

This video describes how to create and use calculated fields in Tableau using an example. If you're new to Tableau calculations or to creating calculated fields in Tableau, this is a good place to start.

You'll learn Tableau calculation concepts, as well as how to create and edit a calculated field. You will also learn how to work with the calculation editor and use a calculated field in the view.

Table Calculations are basically a special type of field that computes on the local data. The following article is going to take you through all you need to know to start using Table Calculations in Tableau.

Table calculations in Tableau are basically transformations you apply to the values in a visualization. They are calculated based on what is currently in the visualization and do not consider any measures or dimensions that are filtered out of the visualization.

Tableau Table Calculations are the special type of calculated field. Unlike regular calculated fields, table calculations in Tableau are based on the data that is currently visualized in a report. This article shows how to create Tableau table calculations, and how to use their properties.

In this Tableau tutorial I will discuss a basic quick table calculation and try to demystify what is happening behind the scenes. All of the following will hopefully be made clearer in the video.

Data Blending is a very powerful feature in Tableau. It is used when there is related data in multiple data sources, which you want to analyze together in a single view. It is a method for combining data that supplements a table of data from one data source with columns of data from another data source.

You can show trend lines in a visualization to highlight trends in your data. You can publish a view that contains trend lines, and you add trend lines to a view as you edit it on the web.

Table calculations are among the most powerful features Tableau has to offer for answering your analytical questions. You can select from a collection of pre-defined calculations or create your own Table Calculation from scratch using Table Calculation functions.

A table calculation is a transformation we apply to the values of a single measure in our view, based on the dimensions in the level of detail.

Tableau provides a complete range of chart styles. You really don’t even have to understand why a particular chart is better. If you rely on the show me button, tableau will provide an appropriate chart based on the combination of measures and dimensions you’ve selected.

In this session you will learn about the next step of advanced chart which help you in creating the chart.

Level of Detail (LOD) expressions are used to run complex queries involving many dimensions at the data source level instead of bringing all the data to Tableau interface. A simple example is adding dimension to an already calculated aggregate value.