Tableau is a business intelligence and data visualization tool to get insights from data, find hidden trends, and make business decisions. The Analytics segment is a fast changing domain in the IT industry and needs to be in pace with the current trends. At Radical we ensure to keep in pace with the top 3 Analytical tools in the market as per the Gartner study so that the niche availability of resources remain under your belt and the opportunities to explore the BI world remains open at any point of time.
Data Visualization And Analytics – Tableau
Best Tableau Training in Pune
The best thing about Tableau is that there is no prerequisite to learn this software. With zero technical or any programming skills, one can learn and master this tool suite
Learning Objectives: At the end of this class, the student will be able to:
7.2 Introduction and Getting Started
7.3 Filtering, Sorting & Grouping
Filtering, Sorting and Grouping are fundamental concepts
when working with and analyzing data. We will briefly review these topics as they apply to Tableau
7.4 Working with Data– In the Advanced class, we will understand the difference between joining and blending data, and when we should do each. We will also consider the implications of working with large data sets, and consider options for when and how to work with extracts and the data engine. We will also investigate best practices in “sharing” data sources for Tableau Server users.
7.5 Working with Calculated Data and Statistics– In the Fundamentals Class, we were introduced to some basic calculations: basic string and arithmetic calculations and ratios and quick table calculations. In the Advanced class, we will extend those concepts to understand the intricacies of manipulating data within Tableau
7.6 A Quick Review of Basic Calculations
Quick Table Calculations
Custom Calculated Fields
Logic and Conditional Calculations
7.7 Advanced Table Calculations
Understanding Scope and Direction
Calculate on Results of Table Calculations
Difference From Average
Index to Ratios
7.8 Working with Parameters– In the Fundamentals class, we were introduced to parameters – How to create a parameter and use it in a calculation. In the Advanced class, we will go into more details on how we can use parameters to modify our title, create What-If analysis, etc
Data types of parameters
Using parameters in calculated fields
Inputting parameter values and parameter control options
Advanced Usage of Parameters
Using parameters for titles, field selections, logic statements, Top X
7.9 Building Advanced Chart Types and Visualizations / Tips & Tricks– This topic covers how to create some of the chart types and visualizations that may be less obvious in Tableau. It also covers some of the more common tips & tricks / techniques that we use to assist customers in solving some of their more complex problems.
7.10 Best Practices in Formatting and Visualizing
Depending on the selection of the BI tool we train you to crack the first step of Data Analytics certification (Developer) with the guidance of the trainer and the most expected questions in the certification along with the tips and tricks to quickly make your answers by interpreting the questions asked in the certification.
The trainer has 10+ years of experience into Business Intelligence blended with Data Analytics and real time BI implementations of Banking,Retail and Pharma domain which implement BI on a very high scale. Along with the industrial experience he carries a suite of different use cases in the industry and their solutions as a part of the training. The past candidates have successfully been able to grasp the tool after being taught and keep receiving solutions for existing problems in the Real time experience and bond shared by the trainer.
Radical believes in giving Quality to their candidates by gelling up the real time industry experience shared by the trainers. We believe in taking the tour of the technology to a deep level assuming that it provides value in the long rum to its students and they keep up a good bond with the institute and the trainer in their long journey. Swift responses to queries, Alternate solutions to problems and real time use cases of business makes it unique as a training institute.
The next path after Tableau is to enter as a business Analyst role and start with the slice and dice reporting along with self driven reporting. Gradually we need to enter into Analytics by knowing the inbuilt K-means algorithm of Tableau and then proceed towards ‘R’ followed by machine learning and Artificial Intelligence.
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