In this lecture session we learn about basic introduction to API Design and development with RAML and also talk about some key features of API design with RAML.

In this lecture session we learn about data formats and authentication of API design and development with RAML and also talk about the importance of RAML in API design and development.

In this lecture session we learn about how we start designing API and also talk about basic resources and method of API design and development in RAML.

In this lecture session we learn about API design center and features of API and also talk about some function of API design center in brief.

In this tutorial we learn about API best practices is to Provide language-specific libraries to interface with your service and also talk about features of API design and development with RAML.

In this tutorial we learn about Schemes define which transfer protocols you want your API to use. If your API is enforced by an API Connect gateway, only the HTTPS protocol is supported and also talks about features of API security schemes.

In this tutorial we learn about API Designer provides a visual or code-based guided experience for designing, documenting, and testing APIs in any language and also talk about the importance of API design principles in brief.

In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again.

In this lecture session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs and also talk about the importance of API design and development with RAML.

In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.

In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.

In this lecture session we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.

In this tutorial we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.

In this lecture session we learn about API is the acronym for Application Programming Interface, which is a software intermediary that allows two applications to talk to each other.

In this lecture session we learn about RAML can be used in a multitude of ways: to implement interactive PAI consoles, generate documentation, describing an API you are planning to build, and more. Despite the name, RAML can describe APIs that do not follow all of the REST rules (hence why it's referred to as "practically RESTful").

In this lecture session we learn about API architecture refers to the process of developing a software interface that exposes backend data and application functionality for use in new applications.

In this lecture session we learn about RAML (RESTful API Modeling Language) provides a structured, unambiguous format for describing a RESTful API. It allows you to describe your API; the endpoints, the HTTP methods to be used for each one, any parameters and their format, what you can expect by way of a response and more.

In this session we learn about RESTful API Modeling Language (RAML) is a YAML-based language for describing RESTful APIs. It provides all the information necessary to describe RESTful or practically RESTful APIs.

In this lecture session we learn about RAML libraries that may be used to modularize any number and combination of data types, security schemes, resource types, traits, and annotations.

In this lecture session we learn about API fragments that are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.

In this tutorial we learn about The RAML type system borrows from object oriented programming languages such as Java, as well as from XML Schema (XSD) and JSON Schema. RAML Types in a nutshell: Types are similar to Java classes. Types borrow additional features from JSON Schema, XSD, and more expressive object oriented languages

In this lecture session we learn about Properties is nothing but in terms of JAVA ,Its Object Oriented Name. But Facet is nothing but More information about Property like MinLength,MaxLength,Minimum and Maximum and many more what you have said as well.

In this lecture session we learn about how API fragments are reusable components of RAML to make the design and build of a reusable API even quicker and easier. Another advantage of building an API spec out of reusable API fragments is that consistency of definitions reduces the effort of implementing APIs.

In this lecture session we learn that RAML belongs to the "API Tools" category of the tech stack, while YAML can be primarily classified under "Languages". According to the StackShare community, RAML has a broader approval, being mentioned in 9 company stacks & 6 developers stacks; compared to YAML, which is listed in 5 company stacks and 4 developer stacks.

In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.

In this lecture session we learn about RAML to HTML is a documentation tool that outputs a single HTML page console based on a RAML definition. It's written in NodeJS and it can be executed as a command line.

In this lecture session we learn about A resource node is one that begins with the slash and is either at the root of the API definition or a child of a resource node.

In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically-RESTful APIs in a way that's highly readable by both humans and computers. We say "practically RESTful" because, today in the real world, very few APIs today actually obey all constraints of REST.

In this lecture session we learn about RAML is a Rest API Modeling Language and it is based on YAML for describing your API's. It is basically used to describe your API, which can be easily readable by humans and computers.

In this lecture session we learn about The baseURI im raml definition is a optional field that serves initially to identify the endpoint of the resources you will describe in the raml definition of a api. The baseURI may also be used to specify the URL at which the api is served.

In this lecture session we learn about RAML stands for RESTful API Modeling Language. It's a way of describing practically RESTful APIs in a way that's highly readable by both humans and computers. It is a vendor-neutral, open-specification language built on YAML 1.2 and JSON for describing RESTful APIs.

In this lecture session we learn about RESTful API Modeling Language (RAML) makes it easy to manage the API lifecycle from design to deployment to sharing. It's concise and reusable; you only have to write what you need to define and you can use it again and again. Uniquely among API specs, it was developed to model an API, not just document it.

In this lecture session we learn about The WSDL document represents a contract between API providers and API consumers. RAML is a modern WSDL counterpart specifically for REST APIs. The RAML Spec is an open standard that was developed by the RAML workgroup and with support from MuleSoft.

In this tutorial we learn about The RAML specification (this document) defines an application of the YAML 1.2 specification that provides mechanisms for the definition of practically-RESTful APIs, while providing provisions with which source code generators for client and server source code and comprehensive user documentation can be created.

In this lecture session we learn about A string is a data type used in programming, such as an integer and floating point unit, but is used to represent text rather than numbers. It consists of a set of characters that can also contain spaces and numbers.

In this RAML is used to design and manage the whole REST API lifecycle. MULE API Kit: Helps to build the APIs from Anypoint Studio using a RAML file. I will be explaining the generating flows from the RAML file and executing it.

In this lecture session we learn about APIs (application programming interfaces) are simply communication tools for software applications. APIs are leading to key advances within the banking industry as financial institutions continue to collaborate with third parties.

In this lecture session we learn about Music (alternatively called the Music app; formerly iPod) is a media player application developed for the iOS, iPadOS, tvOS, watchOS, and macOS operating systems by Apple Inc.

In this lecture session we learn about An API application program interface is used in mobile apps just like it is in web apps. It allows developers to access another application or platform. APIs are the foundational element of a mobile app strategy.

In this video tutorial we will get introduced to Data Science and the integration of Python in Data Science. Furthermore, we will look into the importance of Data Science and its demand and the application of Data Science.

In this video we will learn, all the concepts of Python programming related to Data Science. We will also learn about the Introduction to Python Programing, what is Python Programming and its History, Features and Application of Python along with its setup. Further we will see how to get started with the first python program.

This video talks about the Variable and Data Types in Python Programming. In this session we will learn What is variable, the declaration of variable and variable assignment. Further we will see the data types in python, checking data types and data type conversions.

This tutorial will help you to understand Data Types in python in depth. This video talks about the data types such as numbers, sequence type, Boolean, set and dictionary.

This tutorial talks about the Identifier, keyword, reading input and output formatting in Data Science. We will learn about what is an identifier and keywords. Further we will learn about reading input and taking multiple inputs from a user, Output formatting and Python end parameter.

This tutorial talks about taking multiple inputs from user and output formatting using format method, string method and module operator.

This tutorial talks about the Operators and type of operators. In this session we will learn about the types of operators such as arithmetic, Relational and Assignment Operators.

This tutorial talks further about the part 2 of operators and its types. In this session we will learn about the types of operators such as Logical, Membership, Identity and Bitwise Operators.

In this video you will learn about the process of decision making in Data Science. Furthermore, this tutorial talks about different types of decision-making statements and its application in Data Science.

In this video tutorial we will learn about the Loops in Python programing. We will cover further the different types of Loops in Python, starting with: For Loop.

In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: While loop and nested loop.

In this session we will cover the further part of loops in Python programming. The type of loops explained in this video is: break, continue and pass loops

In this video tutorial we will start explaining about the lists in Python Programming. This tutorial talks about accessing values in the list and updating the list in Data Science.

In this video tutorial we will look into the further parts about the lists in Python Programming. Deleting list elements, basic list operations, built in functions and methods and the features which are covered in this session.

This tutorial will cover the basics on Tuples and Dictionary function in Data Science. We will learn about accessing and deleting tuple elements. Further we will also cover the basic tuples operations and the built in tuple functions and its methods. At the end we will see the differences in list and tuple.

This tutorial will cover the advanced topics on Tuples and Dictionary function in Data Science. Further in this session we will learn about the Python Dictionary, how to access, update and delete dictionary elements. Lastly we will cover built in functions and methods.

In this session we will learn about the functions and modules used in Data science. After watching this video, you will be able to understand what is a function, the definition of function and calling a function.

In this session we will learn about the further functions and modules used in Data science. After watching this video, you will be able to understand the ways to write a function, Types of functions, Anonymous Functions and Recursive functions.

In this session we will learn about the advanced functions and modules used in Data science. After watching this video, you will be able to understand what is a module, creating a module, import statement and locating modules.

This tutorial talks about the features of working with files. In this video we will learn about opening and closing file, the open function, the file object Attributes, the close method, reading and writing files.

This tutorial talks about the advanced features of working with files. In this video we will learn about file positions, renaming and deleting files.

In this session we will learn about the regular expression. After this video you will be able to understand what is a regular expression, meta characters, match function, search function, Re- match vs research, split function and sub function.

This video introduces you to the Data Science Libraries. In this video you will learn about the Data science libraries: libraries for data processing, modelling and data visualization.

In this session we will teach about the components of python ecosystem in Data Science. This video talks about the Components of Python Ecosystem using package Python distribution Anaconda and jupyter notebook.

This tutorial talks about the basics of analyzing data using numpy and pandas. The Pandas module mainly works with the tabular data, whereas the NumPy module works with the numerical data. We will further see what is Numpy and why we use numpy.

This tutorial talks about the later part of analyzing data using numpy and pandas. In this tutorial we will learn how to install numpy.

This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn what is Pandas and the key features of Pandas. We will also learn about the Python Pandas environment setup.

This tutorial talks about the advanced part of analyzing data using numpy and pandas. In this session we will learn about Pandas data structure with example.

This the last session on Analysing Data using Numpy and Pandas. In this session we will learn data analysis using Pandas

In this video tutorial we will learn about the Data Visualization using Matpotlib. This video talks about what is data visualisation, introduction to matplotlib and installation of matplotlib.

In this session we will see the part 2 of Data Visualization with Matplotlib. This video talks about the types of data visualization charts and line chart scatter plot

This tutorial covers part 3 of Data Visualization with Matplotlib. This session covers the types of data visualisation charts: bar chart histogram, area plot pie chart and box plot contour plot.

This session talks about the Three-Dimensional Plotting with Matplotlib . In this we will learn about plot 3D scatter, plot 3D contour and plot 3D surface plot.

In this tutorial we will cover basics of Data Visualisation with Seaborn. Further we will cover Introduction to seaborn, seaborn functionalities, how to install seaborn and the different categories of plot in seaborn

In this tutorial we will cover the advanced topics of Data Visualisation with Seaborn. In this video we will see about exploring seaborn plots.

Introduction to Statistical Analysis is taught in this video. We will learn what is statistical analysis and introduction to math and statistics for data science. Further we will learn about the terminologies in statistics for data science and categories in statistics, its correlation and lastly mean median and mode quartile.

This video course talks about the basics of Data Science methodology. We will learn how to reach from problem to approach.

In this session we will see Data Science Methodology from requirements to collection and from understanding to preparation.

In this session we will learn advanced Data Science Methodology from modelling to evaluation and from deployment to feedback.

This video tutorial talks about the - Introduction to Machine Learning and its Types. In this session we will learn what is machine learning and the need for machine learning. Further we will see the application of machine learning and different types of machine learning. We will also cover topics such as supervised learning, unsupervised learning and reinforcement learning.

This video tutorial talks about the basics of regression analysis. We will cover in this video linear regression and implementing linear regression.

This video tutorial talks about the further topics of regression analysis. In this video we will learn about multiple linear regression and implementing multiple linear regression.

This video tutorial talks about the advanced topics of regression analysis. In this video we will learn about polynomial regression and implementing polynomial regression.

In this session we will learn about the classification in Data science. We will see what is classification, classification algorithms and Logistic regression. Also we will learn about implementing Logistic regression.

In this session we will learn about the further topics of classification in Data science, such as decision tree and implementing decision tree.

In this session we will learn about the advanced topics of classification in Data science, such as support vendor machine and implementing support vector machine.

This tutorial will teach you about what is clustering and clustering algorithms. Further we will learn what K means clustering and how does K means clustering work and also about implementing K means clustering.

In this session we will see the further topics of clustering, such as hierarchical clustering, agglomerative hierarchical clustering, how does agglomerative hierarchical clustering Work and divisive hierarchical clustering.

This video tutorial talks about the advanced topics of clustering, such as implementation of agglomerative hierarchical clustering.

This video will help you to understand basics of Association rule learning. In this session we will learn about the Apriori algorithm and the working of Apriori algorithm.

This video will help you to understand advanced topics of Association rule learning such as implementation of Apriori algorithm.

This is a session on the practical part of Data Science application. In this example we will see problem statement, data set, exploratory data analysis.

This is a session on the practical part of Data Science application.

This is a session on the practical part of Data Science application. In this we will see the implementation of the project.

This is a session on the practical part of Data Science application

This is a session on the practical part of Data Science application

We will learn Business Finance in 3 parts. In this first part of Business Finance we will see what is Business Finance and what is the meaning, nature and significance of Business Finance. Furthermore, we will learn why Business Finance is required to carry out various activities.

In this video we will cover the second part of Business Finance. We will learn about the classification of sources of finance and how we can get funds from the various sources. We will also learn about the characteristics of these sources.

In this video we will learn about the third part of Business Finance. In this video we will discuss International Financing. We will learn about the various avenues of an organization to get a finance, how to obtain finance and how to raise a finance, internationally.

In this video tutorial we will cover the first part of Financial Modelling. We will learn what is Financial Modelling and its use. Furthermore, we will also learn how to prepare financial model and the different types of Financial Models.

In this video we will cover part 2 of the Financial Modelling. In this video we will discuss of the different types of Financial Models in detail. How to use these models as per the Business? We will also see a list of 10 common Financial Models.

In this video we will see the final and last part of Financial Modelling. In this video course we will discuss all other Financial Models which are important and used by all other Financial organizations. These Financial Models are prepared by the organization on the basis of their business. Eg. IPO model , LBO model, IRR model.

In this lecture session we learn about introduction of financial accounting. Why we need financial accounting and also talk about factors and importance of financial accounting.

In this lecture session we learn about basic introduction to financial reporting and also talk about basic functions and importance of financial reporting in financial accounting.

In this lecture session we learn about the golden rule of accounting and also talk about overview of golden rule of accounting in financial accounting.

In this lecture session we learn about recording of transactions in financial accounting and also talk about how we record and manage the recorded transactions.

In this lecture session we learn about books of original entry and also talk about all types of original entry in financial accounting.

In this lecture session we learn about cash books, why we need cash books and also talk about the importance of cash books.

In this lecture session we learn about what trial balance is, why we need trial balance and also talk about the importance of trial balance in financial accounting.

In this lecture session we learn about bank reconciliation statements in financial accounting and also cover the importance and factors of bank reconciliation statements.

In this lecture session we learn about bill of exchange and also talk about the basic function of bill of exchange.

In this lecture session we learn about two types of bill of exchange on sending the bill for collection and also talk about receiving the advice from the bank that the bill has been collected.

In this lecture session we learn depreciation and also talk about factors of depreciation.

In this tutorial we learn about how we calculate the value of material after excluding depreciation and also talk about basic examples of depreciation in financial accounting and reporting.

In this lecture session we learn about depreciation, we also cover basic real time examples of depreciation in financial accounting.

In this lecture session we learn about rectification of errors, why we need rectification of errors and also talk about importance and factors of rectification of errors.

In this lecture session we learn about provisions and reserves in financial accounting and reporting and also talk about basic functions of provision and reserve.

In this lecture session we learn about divisible profit and dividend in financial accounting and also talk about the importance of divisible profit and dividend.

In this lecture session we learn about the financial statements of companies and also talk about basic overview of financial statements of companies.

In this lecture session we learn about income recognition in financial accounting and also talk about classification of assets and provisions in financial accounting.

In this lecture session we learn about how banks have to classify their advance into two broad assets. Performance assets and no performance assets in financial accounting we also cover differences in both groups.

In this lecture session we learn about unique features of investment of banks in financial accounting and reporting and also cover all the features in brief.

In this lecture session we learn about insurance claims and also talk about features of insurance claims in financial accounting.

In this lecture session we learn about internal reconstruction, features of internal reconstruction and also talk about the difference between internal reconstruction and external reconstruction in financial accounting.

In this lecture session we learn about managerial remuneration in financial accounting and also talk about features and importance of managerial remuneration.

In this lecture session we learn about accounting for not for profit organization in financial accounting and also talk about features of not for profit organization.

In this lecture session we learn about why we need accounting for not for profit organization in financial accounting and also talk about the importance of not for profit organization.

In this lecture session we learn about accounting for bonus issue and right issue and also cover basic difference between bonus issue and right issue in financial accounting.

In this lecture session we learn about accounting for share capital and also talk about features of share capital in financial accounting.