Data analysis is the process of examining, organizing, and interpreting data to uncover patterns, trends, and relationships. It is a critical part of the data science process, helping you understand the story behind the data. Data analysts must be proficient in using data manipulation and statistical software to ensure accuracy and quality of data. They must also be skilled in communication, mathematics, and visualization techniques. This course will teach you all the necessary skills for becoming a successful data analyst. You’ll learn how to use tools such as Excel, R, and Python to work with large datasets, clean data, and generate visualizations. You’ll also gain an understanding of fundamental data analysis concepts such as summarization and modeling. Additionally, you’ll learn best practices for effectively communicating results to key stakeholders.
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