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Unclaimed ProfileThe Data Science and Machine Learning Bootcamp with R, created by Jose Portilla and Pierian Training, offers a comprehensive pathway for aspiring data scientists and analysts to master the R programming language. This extensive course bridges the gap between raw statistical theory and practical, real-world application. Students begin by learning the fundamentals of R programming, moving rapidly into essential data manipulation techniques using packages like dplyr and tidyr. The curriculum places a strong emphasis on data visualization, guiding learners through creating stunning graphics with ggplot2 to communicate complex insights effectively. Beyond basic data analysis, the bootcamp dives deep into machine learning, covering vital algorithms such as linear regression, logistic regression, decision trees, random forests, and support vector machines. Aspiring professionals will also explore advanced data operations, including web scraping, database integration with SQL, and handling diverse file formats like Excel and CSV. Designed for learners of all levels, this bootcamp equips you with the portfolio-ready skills needed to tackle predictive modeling challenges and secure a competitive edge in today's data-driven industry.
About the creator
Jose Portilla, Pierian Training
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Jose Portilla serves as the Head of Data Science at Pierian Training and stands as one of the world's most prominent online instructors in Python, data science, and web development. Holding both a Bachelor's and Master's degree in Mechanical Engineering from Santa Clara University, he transitioned his deep analytical background into technical education and professional consulting. Jose's teaching style is characterized by its high-quality, practical approach, emphasizing active learning through hands-on code-along videos, comprehensive Jupyter Notebook exercises, and real-world project builds. Rather than relying on dry theory, he guides students step-by-step through complex concepts like neural networks, algorithmic trading, time…Show more
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Program Overview
Learning format
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Price
Price may change · updated within 1–2 weeks
Course language
Learning format
Subcategory
Price
Price may change · updated within 1–2 weeks
Course language
What You'll Learn
- Program in R
- Use R for Data Analysis
- Create Data Visualizations
- Use R to handle csv,excel,SQL files or web scraping
- Use R to manipulate data easily
- Use R for Machine Learning Algorithms
- Use R for Data Science
Best For
- Aspiring data scientists looking to build a career focused on statistical analysis and R-based modeling.
- Professionals who want to transition from Excel or basic spreadsheet software to professional data programming.
- Academic researchers and analysts who need to automate data cleaning and visualization workflows.
- Beginners with an interest in statistical programming who prefer R over Python for data science tasks.
Not For
- Learners specifically looking for Python-based data science workflows or libraries like Pandas and Scikit-learn.
- Software developers looking to build full-stack web applications rather than statistical models.
- Individuals seeking a purely theoretical course without hands-on coding exercises.
- Advanced R developers already proficient in complex machine learning implementations and package development.
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