Applied Data Science with SQL, R, and Python

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This course equips learners with practical skills in data science using SQL, R, and Python, emphasizing their role in analyzing and interpreting complex datasets. Participants develop the ability to manage, manipulate, and visualize data to support data-driven decisions. Learners progress from foundational SQL concepts to advanced query design, joining, and optimization techniques. They then explore R for statistical analysis and visualization, followed by Python for data processing and creating advanced visualizations with Matplotlib. The course combines theory with hands-on, example-driven lessons, making programming and data analysis accessible. Learners gain applied experience that strengthens their confidence and competence in real-world data science tasks. Data analysts, aspiring data scientists, and professionals seeking practical skills in SQL, R, and Python will benefit from this course. Basic familiarity with computers is helpful but not required. This course is part three of a three-course Specialization designed to provide a comprehensive learning pathway in this subject area. While it delivers standalone value and practical skills, learners seeking a more integrated and in-depth progression may benefit from completing the full Specialization. From Data Analytics & Visualization All-in-One For Dummies Copyright © 2024 by John Wiley & Sons, Inc., Hoboken, New Jersey Used by arrangement with John Wiley & Sons, Inc.

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