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Data Analytics

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Programming

Lessons no : 34

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What will you learn in this course?
  • Master data cleaning, transformation, and visualization techniques for accurate insights and decision-making in business and science
  • Apply statistical analysis and modeling to uncover patterns, trends, and relationships in complex datasets
  • Utilize data analytics tools and software to automate data processing and generate actionable reports
  • Implement predictive analytics to forecast customer behavior, market trends, and operational risks
  • Detect and prevent fraud using advanced data analysis methods and anomaly detection techniques
  • Leverage data analytics for healthcare informatics, environmental protection, and crime prevention strategies
  • Design data-driven strategies to optimize business operations, increase profits, and enhance customer engagement
  • Evaluate data quality and integrity to ensure reliable analysis and trustworthy conclusions
  • Communicate data insights effectively to stakeholders using visualizations and storytelling techniques
  • Integrate data analytics into decision-making processes to support strategic planning and risk management

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Lessons | 34

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Khan Mohammad Sartaj

It's good and helpful for poor and brilliant student all of them
2025-10-08

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very helpful course
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Indepth courses
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a very in depth, informative and detailed course.
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it was a very helpful course
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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.