Advanced Certificate in Data Wrangling with R: Advanced Techniques

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Advanced Certificate in Data Wrangling with R: Advanced Techniques Data wrangling, also known as data munging, is a critical skill in data science. This advanced certificate course in Data Wrangling with R focuses on enhancing your ability to manipulate, transform, and clean data using R, a popular programming language for statistical computing.

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With the increasing demand for data-driven decision making across industries, there is a high need for professionals who can effectively manage and prepare data for analysis. This course equips learners with essential skills in data wrangling, enabling them to advance their careers in data analysis, data science, and related fields. By the end of this course, learners will be proficient in using advanced R packages such as dplyr, tidyr, and stringr for data wrangling, and will be able to apply these skills to real-world data sets, making them valuable assets in today's data-driven economy.

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โ€ข Advanced R Syntax & Data Manipulation: dplyr, tidyr, stringr
โ€ข Data Wrangling with Large Datasets: data.table, fread, vroom
โ€ข Data Transformation & Reshaping: reshape2, tidyr, purrr
โ€ข Advanced String Manipulation: stringi, stringr, regex
โ€ข Data Wrangling for Data Science: tidymodels, recipes, yardstick
โ€ข Advanced Date & Time Handling: lubridate, chron, anytime
โ€ข Data Wrangling with Spatial Data: sf, raster, sp
โ€ข Data Imputation & Missing Value Handling: mice, VIM, Amelia
โ€ข Advanced Data Visualization: ggplot2, plotly,ggvis

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The Advanced Certificate in Data Wrangling with R: Advanced Techniques program prepares professionals for in-demand roles in the UK's thriving job market. This interactive 3D pie chart highlights the percentage distribution of various roles related to data analysis and visualization, providing a snapshot of the current trends in the industry. 1. Data Engineer: With 25% of the market share, data engineers play a crucial role in building and maintaining data architectures, pipelines, and systems. 2. Data Scientist: These professionals, accounting for 20% of the market, focus on extracting valuable insights from complex datasets and developing predictive models. 3. Data Analyst: Holding 18% of the market, data analysts examine data, identify trends, and create visual reports to help businesses make informed decisions. 4. BI Analyst: Business Intelligence (BI) analysts, with 15% of the market, translate data into actionable insights for strategic planning and decision-making. 5. Data Visualization Specialist: These professionals, accounting for 12% of the market, specialize in creating engaging, interactive, and informative data visualizations. 6. Data Journalist: With 10% of the market, data journalists combine data analysis with storytelling techniques to inform and engage the public. With the growing demand for data skills, this Advanced Certificate in Data Wrangling with R: Advanced Techniques program offers a comprehensive and industry-relevant curriculum, equipping professionals for success in the evolving data landscape.

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ADVANCED CERTIFICATE IN DATA WRANGLING WITH R: ADVANCED TECHNIQUES
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London School of International Business (LSIB)
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05 May 2025
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