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This course provides a comprehensive introduction to the principles and practices of data analytics. It focuses on the process of collecting, organizing, cleaning, analyzing, and interpreting data to support informed decision-making in business, research, and other professional fields. Students will explore how raw data can be transformed into meaningful insights through the use of statistical methods, data visualization techniques, and analytical tools.Throughout the course, learners will develop practical skills in identifying patterns, trends, and relationships within datasets. They will gain experience working with spreadsheets, databases, and data analysis software to manage and examine real-world data. The course also introduces key concepts such as descriptive and inferential statistics, data-driven problem solving, dashboard creation, and the communication of findings in a clear and effective way.By the end of the course, students will be able to apply data analytics techniques to solve practical problems, evaluate data quality, generate visual reports, and present actionable insights to different audiences. This course is suitable for beginners as well as learners who want to build a strong foundation in modern data analysis.

This course introduces students to the fundamentals of data analysis, including data cleaning, visualization, and interpretation, using analytical tools and techniques to solve real-world problems.

Data Analytics

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Data Analytics

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