Career Path - Chief Data Scientist
Leading the future of Data science,Advanced analytics, Machine learning mastery and team leadership for aspiring Chief Data ScientistsPreview Career Path - Chief Data Scientist course
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Course/Topic - Business Intelligence and Data Analytics - all lectures
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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.
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In this lecture session we learn about basic concepts of BI and also cover factors of business intelligence in brief.
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In this lecture session we learn about data warehouse data access and data dashboarding and also cover presentation in BI.
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In this lecture session we learn about product database, advertise database and customer demographic database and also cover data analyst concepts.
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In this lecture session we learn about basic introduction of business intelligence and also cover factors of business intelligence in brief.
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In this lecture session we learn about introduction of predictive modeling and also cover functions of predictive modeling in brief.
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In this lecture session we learn about data related to customer services and also talk about customer relation databases in brief.
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In this lecture session we learn about introduction of NoSQL and also cover basic functions of NoSQL in business intelligence.
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In this lecture session we learn about graph stores and also talk about the advantages and disadvantages of graph stores in BI.
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In this lecture session we learn about hierarchical clustering in business intelligence and also talk about clustering factors in BI.
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In this lecture session we learn about introduction of salesforce in business intelligence and also talk about some basic uses of salesforce.
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In this lecture session we learn about introduction to NLP and also cover what is natural language processing in artificial intelligence.
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In this lecture session we learn about natural language processing speech to text conversion and also cover the importance of natural language processing.
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In this lecture session we learn about introduction of apache server in business intelligence and also talk about basics of apache server.
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In this lecture session we learn about deep drive into business intelligence and also talk about factors or deep drive in business intelligence.
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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.
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In this lecture session we learn about types of data in business intelligence and also talk about different types of data in BI.
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In this lecture session we learn about mobile BI and also talk about open source BI software replacing vendor offering.
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In this lecture session we learn about real time BI in business intelligence and also talk about factors of real time BI in brief.
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In this lecture session we learn about data analytics comprehensively and also talk about functions of data analytics.
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In this lecture session we talk about data analytics vs business analytics and also talk about the importance of data analytics.
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In this lecture session we learn about Embedded analytics and also talk about functions of Embedded analytics in data analytics.
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In this lecture session we learn about collection analytics and also cover the importance of collection analytics.
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In this lecture session we learn about survival analytics and also cover duration analytics in brief.
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In this lecture session we learn about machine learning techniques and also cover the importance and factors of machine learning techniques in business intelligence.
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In this lecture session we learn about geospatial predictive analytics and also talk about functions of geospatial predictive analytics in business intelligence.
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In this lecture session we learn about cohort analysis in data analyst and we also cover functions and importance of cohort analysis.
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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.
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In these lecture sessions we learn about anomaly detection and also talk about functions of anomaly detection in brief.
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In these lecture sessions we learn about statistically sound association and also talk about factors of statistically sound association in business intelligence.
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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.
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In this lecture session we learn about DBSCAN in business intelligence and also talk about DBSCAN functions and importance.
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In this lecture session we learn about regression models in business intelligence and also talk about the function of regression models.
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In this lecture session we learn about extraction based summarization in business intelligence and also cover all types of summarization in data analyst.
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In this lecture session we learn about machine learning in BI and also talk about factors and importance of machine learning in brief.
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In this lecture session we learn about machine learning vs BI we also discuss the basic difference between machine learning and business intelligence.
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In this lecture session we learn about how ml can make BI better and also talk about ml basic functions.
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In this lecture session we learn about data warehousing and also talk about how we manage data warehousing in business intelligence.
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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.
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In this lecture session we learn about data mart in business intelligence and also talk about data mart function.
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In this lecture session we learn about data dimensions in business intelligence and also cover all types of data dimension in BI.
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In this lecture session we learn about data dimension in business intelligence and also cover functions and importance of data dimension.
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In this lecture session we learn about data vault modeling in business intelligence and also cover different types of vault modeling in brief.
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In this lecture session we learn about links and satellites and also cover the importance and factors of links and satellites in business intelligence.