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Are you new to Python or R or need a refresher? Then this course will help you get all the fundamentals of Procedural Python, Object-Oriented Python, and R programming, and it will conclude with building a data analysis project similar to real-world applications used in data science and analytics.
In this course, you will learn the fundamentals of Python and R programming, including syntax, data types, and control structures. You will master data manipulation and analysis using libraries such as Pandas and Numpy in Python, and dplyr and tidyr in R. You will also learn to create and customize data visualizations using Matplotlib and Seaborn in Python, and ggplot2 in R. Additionally, you will gain skills in database integration, connecting to and querying databases with Python and R. The course will introduce you to basic machine learning concepts and model implementation in both languages. By the end of the course, you will have completed a comprehensive data analysis project, applying all the skills you have learned.
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> Quantitative Data Analysis Course
This course is ideal for: Beginners who are new to programming and want to learn Python and R Data analysts and aspiring data scientists seeking to enhance their programming skills Professionals looking to transition into data science and analytics Students in computer science, statistics, or related fields who need practical programming experience Anyone interested in leveraging Python and R for data analysis and visualization
Get ready to take a step towards building your career!