R Programming: Advanced Analytics In R For Data Science
Why take this course?
🚀 Course Title: R Programming: Advanced Analytics In R For Data Science
🎓 Headline: Take Your R & R Studio Skills To The Next Level - Master Data Analytics, Data Science, and Statistical Analysis in Business with GGPlot2!
What You Will Learn:
-
🧠 Data Preparation Techniques: Master the art of data transformation and preparation to ensure your data is ready for analysis.
-
📈 Median Imputation Methods: Learn how to handle missing data using robust statistical methods.
-
⏰ Date-Time Operations in R: Gain proficiency in handling temporal data and time-series analysis.
-
📋 Understanding Lists and Their Usage: Discover the power of lists in R and how to leverage them effectively.
-
🧮 The Apply Family of Functions: Dive into the world of apply(), lapply(), and sapply() and learn when and how to use them instead of loops for more efficient code.
-
🚀 Function Nesting: Nest your own functions within apply-type functions and learn the art of nesting apply(), lapply(), and sapply() functions within each other for complex data manipulation tasks.
🔍 Real-World Analytics
In this course, you won't just be learning concepts in isolation; you will apply them to real datasets and scenarios. Each module is designed to challenge your skills and provide hands-on experience with data from various industries. 🌍
📊 Module Breakdown:
-
Financial Data Analysis: Clean up financial data and visualize revenue, expenses, and profit across different sectors using ggplot2.
-
Optimizing Operations at Coal Terminal: Use your newfound skills to analyze operational efficiency and identify underutilized machinery through data analysis.
-
Meteorology Bureau Projects: Help predict weather patterns by analyzing complex meteorological datasets and providing actionable insights.
🎓 Your Journey to Mastery
After each module, you will have a robust set of skills that are directly applicable in the field of Data Science. The knowledge you gain here will be a cornerstone for your career, enabling you to tackle real-world problems with confidence and precision.
👩🏫 Your Instructor:
Kirill Eremenko is not just any instructor; he's a seasoned data science professional with years of industry experience. His expertise in R, data analytics, and machine learning is unparalleled, and his teaching style is both engaging and effective. Learn from the best and join a community of data science enthusiasts! 🌟
🚀 Enroll Now and Transform Your Data Science Career!
Don't miss this opportunity to master R and advanced analytics. With this course, you will be equipped with the skills to analyze data like a pro and make an impact in any business or research setting. 💻🔓
Enroll Now and take your first step towards becoming a Data Science expert!
Course Gallery
Loading charts...
Comidoc Review
Our Verdict
Boasting a solid 4.65 rating and 62k+ subscribers, this advanced R programming course by Kirill Eremenko targets data preparation and the apply() family of functions, providing valuable insights for enthusiasts and practitioners alike. While some users find the content more basic than advanced or the price too high, overall, it's a laudable e-learning experience that bridges theory and real-life applications, effectively equipping students with essential skills for data analytics with R.
What We Liked
- Covers advanced topics like data preparation, apply() family of functions and lists.
- Content is useful for both beginners and those looking to deepen their knowledge in R.
- Kirill's teaching style effectively blends theory with real-world applications.
- Well-structured course with clear and easily explained tutorials.
Potential Drawbacks
- Course price is considered high for the number of sections and tutorials.
- Lacks exercises at the end of each section to practice newly learned concepts.
- Some users find the content more basic than advanced, possibly better suited for beginners.
- Additional focus on script/code organization techniques could be beneficial.