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 lecture session we learn about cloud computing, which means storing and accessing data over the internet instead of a hard disk. It is defined as a service that provides users to work over the internet.

In this lecture session we learn about cloud computing is the delivery of computing services—including servers, storage, databases, networking, software, analytics, and intelligence—over the Internet (“the cloud”) to offer faster innovation, flexible resources, and economies of scale.

In this lecture session we learn about Cloud computing is a general term for anything that involves delivering hosted services over the internet. These services are divided into three main categories or types of cloud computing.

In this tutorial we learn about the importance of cloud computing can be found in using services like Google Drive and Apple iCloud. The use of these services allows documents, contacts, pictures, and a whole lot more online.

In this lecture session we learn about introduction to python programming for beginners and also talk about features of python programming.

In this lecture session we learn about basic elements of python in python programming and also talk about features of elements of python.

In this lecture session we learn about installation of python in your system and also talk about the best way of installation of python for beginners.

In this lecture session we learn about input and output statements in python programming and also talk about features of input and output statements.

In this lecture session we learn about data types in python programming and also talk about all the data types in python programming.

In this lecture session we learn about operators in python and also talk about how we use operators in python programming.

In this lecture session we learn about different types of operators in python programming and also talk about features of operators in python.

In this lecture session we learn about type conversion in python programming and also talk about features of type conversion in python.

In this lecture session we learn about basic programming in python programming for beginners.

In this lecture session we learn about features of basic programming in python and also talk about the importance of programming in python.

In this lecture session we learn about math modules in python programming and also talk about features of math modules in python.

In this lecture session we learn about conditional statements in python and also talk about conditional statements in python programming.

In this lecture session we talk about basic examples of conditional statements in python.

In this lecture session we learn about greater and less then conditional statements in python programming.

In this lecture session we learn about nested IF Else statements and also talk about features of nested IF else statements.

In this lecture session we learn about looping in python in programming for beginners and also talk about looping in python.

In this lecture session we learn about break and continue keywords and also talk about features of break continue keywords.

In this lecture session we learn about prime number programs in python and also talk about functions of prime number programs in python.

In this lecture session we learn about while loop in python programming and also talk about features of while loop in python.

In this lecture session we learn about nested For loop in python programming and also talk about features of nested For loop.

In this lecture session we learn about features of nested for loop in python and also talk about the importance of nested For loop in python.

In this lecture session we learn about functions in python and also talk about different types of functions in pythons.

In this lecture session we learn about passing arguments to functions in python programming and also talk about features of passing arguments to functions

In this lecture session we learn about return keywords in python and also talk about features of return keywords in python.

In this lecture session we learn about calling a function in python programming and also talk about calling a function.

In this lecture session we learn about factors of calling a function in python programming and also talk about features of calling a function.

In this lecture session we learn about a program to swap 2 numbers using calling a function in python programming.

In this lecture session we learn about functions of arbitrary arguments in python programming and also talk about features of arbitrary arguments.

In this lecture session we learn about functions keywords arguments in python programming and also talk about features of keyword arguments.

In this lecture session we learn about functions default arguments in python programming and also talk about features of default argument.

In this lecture session we learn about global and local variables in python programming and also talk about features of global and local variables.

In this lecture session we learn about global and local keywords and also talk about features of global and local keywords.

In this lecture session we learn about strings in python programming and also talk about features of string in python.

In this lecture session we learn about string methods in python programming and also talk about features of string methods in python.

In this lecture session we learn about string functions in python and also talk about features of strings functions in python.

In this lecture session we learn about string indexing in python programming and also talk about features of string indexing in python programming.

In this lecture session we learn about introduction of lists in python programming and also talk about features of introduction to lists.