Data Science: Exploratory Data Analytics (EDA) Techniques

Data Science: Exploratory Data Analytics (EDA) Techniques

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Data Science Practical Real-Life Practical Approach

Updated on Sep, 2026

Programming, Data Science, Data Analysis

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This course gives you competency as it focuses on a practical approach only, I have summarized the essential concept necessary to be a master in real-life Data Science approach. I have tried my best to give a detailed explanation and a clear demonstration of how well data is represented. Data Science has become more prevalent in all significant areas like the Health sector, financial market, marketing teams, accounting and manufacturing industries. Data science gives accurate predictions on analyzed data and gives clear outcomes for the organization to make decision-based on the analysis which has been made. In this course, I have demonstrated how to gather data from various sources then clean the data and make analysis for decision-making. In this course, we focus on EDA Techniques and practical tasks only to make sure that you are well-equipped the competence-based skills.

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Fanuel Mapuwei is an experienced and passionate instructor with a strong background in teaching and mentoring learners across different skill levels. He focuses on practical learning, clear explanations, and real-world examples to help students understand concepts with ease. Fanuel is dedicated to supporting learners throughout their journey and empowering them with skills that are relevant, useful, and industry-ready.

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