Data science,Machine Learning,Data visualization with R and Python using real world examples.
Master key concepts and practical skills through structured learning modules. By completing this curriculum, you'll gain valuable expertise applicable to real-world scenarios.
Solve any data analytics problem using R and Python
Perform Data exploratory functions,importing and exporting the data sets,Data manipulation
Perform Logistic Regression using Cancer remission data set.
Data manipulation in R-Dply,Filter,multiple filter,mutate,arrange,summarize.
Data visualization in R-Bar graphs,Stacked bar,grouped bar graph,Line chart for time series data,Box plot to calculate mean, median, min ,max ,3rd quartile and 1st quartile values
This comprehensive Data Science and Machine Learning with R and Python curriculum is designed to take you from foundational concepts to advanced implementation. Each module builds upon the previous, ensuring a structured learning path that maximizes knowledge retention and practical application.
Understand what you need to succeed in this course and determine if it's the right fit for your learning goals
What you need before starting this Data Science and Machine Learning with R and Python course:
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Everything you need to know about this online course, from duration to certification
Course Instructor
Ankita khanna
Expert instructor with industry experience
Course Language
English
All materials in English
This online course offers comprehensive training with expert instruction, practical exercises, and a certificate of completion. Join thousands of students advancing their careers through quality online education.
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