Data Analytics refers to the collection of qualitative and quantitative methods for gaining valuable information from data. It involves a variety of processes which include extracting data as well as classifying it into the field of data science to be able to discover patterns, relationships connections, and useful insights from it. In simple language, data analytics is the science of evaluating raw data to make outcomes from the data. Data analytic techniques help you to carry raw data and find patterns to take out useful ideas from it. Types of Data Analytics - Descriptive Analytics. - Diagnostic Analytics. - predictive analytics. - Prescriptive analytics. - Cognitive Analytics. Importance of Data Analytics - Reduce the cost of operation. - Predict future trends - Monitor product performance - Improved business performance - Better Targeting Conclusion: Data is essential for every business and aids them in understanding their customers, increasing their marketing campaigns, and increasing their bottom lines. Tools and methods for data analytics are essential as there are many benefits of data. However, with no tools, you will not be able to enjoy these benefits. Raw data is a wealth of potential, but it is essential to use data analytics in order to unlock the doors to grow your business. However, to accelerate your career in Data analytics and to provide the required knowledge of Data Analytics, 1stepGrow professional training education institute offers the best Data Science online course with IBM certification. This data science course curriculum was designed by industry experts and is considered the best in the business. 1stepGrow is deemed to be one of the best Data Science course in Bangalore because this course is a great combination of theory, case studies, and capstone projects. For more information, please visit: https://1stepgrow.com/course/advance-data-science-and-artificial-intelligence-course/