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Introduction – Power Query Training Power Query Training is one of the vital skills that most data analyzers are seeking for better processing and management of databases. For years, the process of importing, exporting, extracting and even appending data has been very hectic. Companies had to purchase sophisticated software to phase out these challenges, but
Introduction – Power Pivot Power Pivot was at the beginning only an add-on provided with the 2010 and 2013 Excel. It is now fully integrated into the application. Also, it is capable of complex data analytics, thus providing the user with shorter work times. You don’t need exquisite forms of Power Pivot training to use
Introduction – Python training The high popularity of python training among programmers is enough evidence that the language should be among the first programming training anyone interested in this area should take. It has even been argued that python is the best language for beginners. But what are the reasons behind these claims about python?
Introduction – Data Science Data Science is an interdisciplinary field that deals with systems and processes. Using it is to extract data and insights from large data volumes. Most of its theories and techniques come from fields like mathematics, statistics, information science, computer science, and chemometrics. Why Data Science is Important to Learn? Data scientists
Introduction – R Programming Language For the last couple of decades and until now, R programming has been one of the most in-demand skills in many industries. Reasonably, R has been mentioned among the best languages for statistical programming, visualization, and analytics. Small and big companies in different fields are using the R programming language.