Introduction Visualization Design and Data Types Tableau and Data Connections Data Organization Formatting and Annotations Chart Types Calculations Parameters Mapping and Locations Dashboards and Work Sharing

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good data science requires experts that combine substantive knowledge with data analytical skills, which makes it a prime area for social scientists with an interest in quantitative methods.

Manual Testing in method used in the current scenario to get the information regarding the performance and operation of all the software related products. Over recent years, companies are strongly reliant on the ability to test ever more complex IT systems therefore there is a huge push in the need for trained software testers around the world. Training in software testing can lead to a range of roles such as testers, test analysts, test engineers, test consultants, test managers, user acceptance testers and software developers. Automation testing is a Software testing technique to test and compare the actual outcome with the expected outcome. This can be achieved by writing test scripts or using any automation testing tool. Test automation is used to automate repetitive tasks and other testing tasks which are difficult to perform manually.

This course provides students with hands on experience using Visual Studio to create dynamic web applications using ASP.NET MVC and C#. The class provides a thorough introduction to the C# programming language, including coverage of the essentials of the C# programming language, built in data types, operators, control structures, classes and methods, collections and exception handling. Students learn how to leverage the power of the Model-View-Controller design pattern with the ASP.NET MVC Framework to separate the layers of a web application. Students will use the ASPX and Razor view engines to design a user interface. Students will learn how to build models to manage an application's data layer using both the Entity Framework and LINQ to SQL. And students will learn how to build controllers containing action methods to manage communication between views and models.

Duration: 40 Hours with hands-on tutorials Mode of training: Online/Offline(classroom)/Combo (Offline & Online) The Python Ecosystem & Setup Scripting Functional Programming Conditional Statements and Loops UDF Functions and Object Functions File Handling with Python Packages & Modules Exceptional Handing and Object Oriented Python Advanced Topics Decorators, Descriptors Debugging, Framework & Regular expression Database interaction with Python Python Libraries - NumPy, SciPy, Pandas, StatsModel

This course introduces the techniques for using the powerful capabilities of Spring 4 including the three main configuration styles: Java-based (@Configuration), annotation-based (@Component), and the traditional XML-based configuration that may still play an important role in existing and new projects. It also provides guidelines for when and how to use each one.

Introduction Visualization Design and Data Types Tableau and Data Connections Data Organization Formatting and Annotations Chart Types Calculations Parameters Mapping and Locations Dashboards and Work Sharing

Data Science and Big Data Analytics are exciting new areas that combine scientific inquiry, statistical knowledge, substantive expertise, and computer programming. One of the main challenges for businesses and policy makers when using big data is to find people with the appropriate skills. Good data science requires experts that combine substantive knowledge with data analytical skills, which makes it a prime area for social scientists with an interest in quantitative methods.

Manual Testing in method used in the current scenario to get the information regarding the performance and operation of all the software related products. Over recent years, companies are strongly reliant on the ability to test ever more complex IT systems therefore there is a huge push in the need for trained software testers around the world. Training in software testing can lead to a range of roles such as testers, test analysts, test engineers, test consultants, test managers, user acceptance testers and software developers. Automation testing is a Software testing technique to test and compare the actual outcome with the expected outcome. This can be achieved by writing test scripts or using any automation testing tool. Test automation is used to automate repetitive tasks and other testing tasks which are difficult to perform manually.

This course provides students with hands on experience using Visual Studio to create dynamic web applications using ASP.NET MVC and C#. The class provides a thorough introduction to the C# programming language, including coverage of the essentials of the C# programming language, built in data types, operators, control structures, classes and methods, collections and exception handling. Students learn how to leverage the power of the Model-View-Controller design pattern with the ASP.NET MVC Framework to separate the layers of a web application. Students will use the ASPX and Razor view engines to design a user interface. Students will learn how to build models to manage an application's data layer using both the Entity Framework and LINQ to SQL. And students will learn how to build controllers containing action methods to manage communication between views and models.

Duration: 40 Hours with hands-on tutorials Mode of training: Online/Offline(classroom)/Combo (Offline & Online) The Python Ecosystem & Setup Scripting Functional Programming Conditional Statements and Loops UDF Functions and Object Functions File Handling with Python Packages & Modules Exceptional Handing and Object Oriented Python Advanced Topics Decorators, Descriptors Debugging, Framework & Regular expression Database interaction with Python Python Libraries - NumPy, SciPy, Pandas, StatsModel

This course introduces the techniques for using the powerful capabilities of Spring 4 including the three main configuration styles: Java-based (@Configuration), annotation-based (@Component), and the traditional XML-based configuration that may still play an important role in existing and new projects. It also provides guidelines for when and how to use each one.