Data analytics is an umbrella term for crunching and munching data to arrive at a conclusion of an industry / socio aspect. Python plays a vital role for data analytics by providing Anaconda Navigator, an exclusive distribution for data Analytics. Features of Anaconda
Python Provides rich set of libraries for Data Analytics, Machine Learning and Artificial Intelligence (Eg., scikit, pandas, matplotlib)
Data Analytics is the buzzword these days. It deals with collecting data, cleaning data,studying the problem and proposing a solution for the problem. It does not end here. It evaluates the solution and then interprets the results.
It is mainly used in commercial industries to boost the business revenue. It helps in every aspect of business like marketing, sales, informed business decisions, asset management, customer service etc.
Data analytics is much beyond than business intelligence and reporting. It has advanced analytical algorithms, machine learning and artificial intelligence algorithms. There are numerous algorithms for proposing a solution to business problem. But we need to choose the appropriate algorithm and apply it.
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