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Time Series In R | Time Series Analysis In R Step By Step | R Programming For Beginners |Simplilearn

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Lessons List | 34 Lesson

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Sayema Azam

It was good 2025-03-03

Shanifa

Mind Luster- it’s well structured curriculum diverse instructional methodologies and emphasis on practical application is a valuable asset 2025-03-02

Sana Hafeez

very helpful course 2025-03-01

Sanjana P

AWESOME 2025-03-01

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Course Description

Data analysis is a process of inspecting, cleansing, transforming, and modelling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data analytics is also used to detect and prevent fraud to improve efficiency and reduce risk for financial institutions. The use of data analytics goes beyond maximizing profits and ROI, however. Data analytics can provide critical information for healthcare (health informatics), crime prevention, and environmental protection. 6/30/2021 · Why Data Analytics is Important? Data analysis is an internal arrangement done through presenting numbers and figures to management. With data analytics the organizations will be able to make decisions on customer trends, behavior prediction, increasing the business profits, and drive effective decision-making.