![]() To achieve analytics, one must have knowledge of R, Python, SAS, Tableau Public, Apache Spark, Excel and many more. To perform data analytics, one has to learn many tools to perform necessary action on data.Data analytics consist of data collection and in general inspect the data and it has one or more usage whereas Data analysis consists of defining a data, investigation, cleaning the data by removing Na values or any outlier present in a data, transforming the data to produce a meaningful outcome.Data analysis is a specialized form of data analytics used in businesses and other domain to analyze data and take useful insights from data. Data analytics is a conventional form of analytics which is used in many ways like health sector, business, telecom, insurance to make decisions from data and perform necessary action on data. ![]() Key Differences Between Data Analytics and Data Analysisīelow are the lists of points, describe the key Differences Between Data Analytics and Data Analysis: Hadoop, Data Science, Statistics & others
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