Programming for Data Analysis: Introduction to Python or R is a course designed to provide foundational knowledge in using Python or R for analyzing data. Python and R are powerful programming languages widely used in data science and statistical analysis. The course typically covers the basics of programming, including syntax and data structures, and progresses to more complex topics such as data manipulation, visualization, and statistical modeling. Students learn to use libraries and tools specific to each language—such as Pandas and Matplotlib for Python, or dplyr and ggplot2 for R—to perform data cleaning, exploration, and analysis. This introduction aims to equip learners with the skills needed to handle and interpret large datasets effectively, laying the groundwork for more advanced data science and analytics work.
Introduction to Data Analysis
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Data Collection and Management
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Data Cleaning and Preparation
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Exploratory Data Analysis (EDA)
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Data Analysis Techniques
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Data Visualization
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Programming for Data Analysis
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About Lesson
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