(VB.NET / C#.NET, ASP.NET 4.0,MOBILE APPLICATION, .NET FRAMEWORK,SQL) MODULE 1: ASP.NET FRAMEWORK Getting Started Windows Operating Systems Microsoft.Net & Versions Language Support Types of Applications Installations & Getting Started Creating Applications Testing & Debugging Applications MODULE 2: OVERVIEW OF .NET COMPONENT Features of .Net Framework .Net Framework Architecture Components of .Net Framework Common Type System …
MODULE 1: INTRODUCTION TO DIGITAL MARKETING What is digital marketing? How is it different from traditional marketing? ROI between Digital and traditional marketing? Discussion on Ecommerce Discussion on new trends and current scenario of the world? Digital marketing a Boon or Bane? How can digital marketing be a tool of success for companies? Video on …
MODULE 1: INTRODUCTION Introduction Features Pros and Cons MODULE 2: SETUP AND BASIC PROGRAM Environment Setup First Program MODULE 3: VARIABLES AND DATA TYPES Variables Data Types Variable scope Typecasting MODULE 4: OPERATORS AND EXPRESSIONS Operators Expressions Operator precedence MODULE 5: FLOW CONTROL If statement Switch statement While loop Do while loop For loop MODULE …
MODULE 1: IUNRODUCTION History Features Setting up path Working with Python Basic Syntax Variable and Data Types Operator MODULE 2: CONDITIONAL STATEMENTS If If- else Nested if-else MODULE 3: LOOPING For While Nested loops MODULE 4: CONTROL STATEMENTS Break Continue Pass MODULE 5: STRING MANIPULATION Accessing Strings Basic Operations String slices Function and Methods MODULE …
MODULE 1: OOPS CONCEPT Class and object Attributes Inheritance Overloading Overriding Data hiding MODULE 2: REGULAR EXPRESSIONS Match function Search function Matching VS Searching Modifiers Patterns MODULE 3: CGI Introduction Architecture CGI environment variable GET and POST methods Cookies File upload MODULE 4: DATABASE Introduction Connections Executing queries Transactions Handling error MODULE 5: NETWORKING Socket …
MODULE 1: INTRODUCTION TO MACHINE LEARNING What is Machine Learning? History of Machine Learning How Artificial Intelligence relates to Machine Learning Data Science vs Machine Learning Fundamentals of Machine Learning MODULE 2: MACHINE LEARNING CONCEPTS Introduction to K- nearest neighbour method Different phases of predictive modelling Understanding tasks and work using an example classification problembased …
MODULE 1: INTRODUCTION TO DATA SCIENCE What is Data Science? Why Python for data science? Relevance in industry and need of the hour How leading companies are harnessing the power of Data Science withPython? Different phases of a typical Analytics/Data Science projects and role ofpython Anaconda vs. Python MODULE 2: PYTHON ESSENTIALS (CORE) Overview of …
MODULE 1: UNDERSTANDING ON BIG DATA What is Big Data Data Facts Aspects / Principle of Big Data Difference b/w Big Data & Traditional BI Examples: Where to use Big Data Big Data Business Opportunities Distributed File System computation with Facebook Example MODULE 2: UNDERSTANDING ON LINUX Understanding File System working Basic commands of LINUX …
MODULE 1: INTRODUCTION TO CLOUD COMPUTING Defining cloud computing Components of a computing cloud Differentiating types of clouds: public, private, hybrid Delivering services from the cloud Categorizing service types Comparing vendor cloud products: Amazon, Google, Microsoft and others MODULE 2: ADOPTING THE CLOUD Key drivers of cloud computing solutions Instantaneous provisioning of computing resources Handling …
MODULE 1: INTRODUCTION TO HTML & HTML5 Basics of HTML What is HTML? HTML Tags Web Browsers HTML Page Structure Write HTML Using Editors HTML5 New Tags HTML Elements & Tags HTML Attributes Images Image Syntax Alt Image Title Images as a LINK Images in another Folder List Tag List Tag Ordered List Unordered List …
