Professional Certificate in Auction Data Transformation with R
-- viewing nowThe Professional Certificate in Auction Data Transformation with R is a comprehensive course that equips learners with essential skills for transforming and analyzing auction data using the R programming language. This course is crucial in today's data-driven economy, where there is a high demand for professionals who can extract insights from complex datasets.
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Course Details
• Data Wrangling with R: An essential unit focusing on data manipulation using R packages like dplyr and tidyr. This unit will cover concepts like data tidying, filtering, sorting, summarizing, and reshaping.
• Data Transformation using R: This unit will focus on transforming data using R packages like stringr, lubridate, and zoo for date/time manipulation. It will also cover data aggregation and disaggregation, missing value imputation, and data transformation for machine learning.
• Data Visualization with R: This unit will focus on data visualization using R packages like ggplot2 and plotly. It will cover creating different types of plots, including line charts, bar charts, scatter plots, and histograms, and customizing them using R.
• Auction Data Preparation with R: This unit will focus on preparing auction data for analysis using R packages like Auction and tibble. It will cover data cleaning, validation, and transformation specific to auction data.
• Auction Data Transformation Techniques: This unit will cover advanced data transformation techniques like feature engineering, scaling, and normalization specific to auction data.
• Machine Learning with R: This unit will cover machine learning techniques using R packages like caret and mlr. It will cover regression, classification, and clustering techniques for auction data analysis.
• Exploratory Data Analysis with R: This unit will cover exploratory data analysis using R packages like ggplot2, dplyr, and tidyr. It will cover data visualization, data summarization, and statistical analysis.
• Data Transformation Pipelines with R: This unit will cover creating data transformation pipelines using R packages like magrittr and pipeR. It will cover creating efficient and reusable data transformation workflows.
• Auction Data Transformation Case Studies: This unit will cover real-life case studies on auction data transformation using R. It will cover practical applications of data transformation techniques in auction data analysis.
Career Path
Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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