Data Analytics
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Basic computer skills and familiarity with spreadsheets (Excel/Google Sheets).
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Basic understanding of mathematics and statistics is helpful but not mandatory.
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A computer capable of running analysis tools like Excel, SQL, or Python.
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No prior experience in data analytics is required; this course is beginner-friendly.
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Aspiring data analysts and business intelligence professionals.
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Students and professionals seeking to enhance analytical skills.
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Entrepreneurs and managers looking to make data-driven decisions.
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Anyone interested in learning how to analyze and interpret data effectively.
- Description
- Curriculum
- Reviews
Data Analytics focuses on examining raw data to uncover trends, patterns, and actionable insights that drive informed business decisions. This course introduces learners to key concepts and tools used in data analysis, including data collection, cleaning, visualization, and reporting. Students will gain hands-on experience with tools such as Excel, SQL, and Python libraries, enabling them to transform data into meaningful insights. By the end of this course, learners will be equipped to analyze datasets, interpret results, and support data-driven decision-making in real-world scenarios.