Global Certificate in Data Science: R for Global Impact

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The Global Certificate in Data Science: R for Global Impact is a comprehensive course that emphasizes the significance of data science in today's digital world. The course focuses on teaching R, a popular programming language for statistical computing and graphics, and its application in solving real-world problems.

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With the increasing demand for data science skills across industries, this course provides learners with the essential skills needed for career advancement. Learners will gain a solid foundation in data manipulation, statistical analysis, and data visualization using R. They will also learn to apply these skills to solve global challenges, making them valuable assets in any organization. By the end of the course, learners will be proficient in R programming, have a deep understanding of data science concepts, and be able to communicate data insights effectively. This course is an excellent opportunity for learners to enhance their data science skills, increase their employability, and make a positive impact on the global stage.

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โ€ข R Programming Basics – data types, variables, functions, loops, conditionals …
โ€ข Data Manipulation with R – data frames, dplyr, tidyr, lubridate …
โ€ข Data Visualization with R – ggplot2, plotly, ggvis …
โ€ข Statistical Analysis in R – hypothesis testing, regression analysis, time series analysis …
โ€ข Machine Learning with R – supervised, unsupervised, reinforcement learning …
โ€ข Big Data Analytics with R – sparklyr, data.table, parallel processing …
โ€ข R Shiny App Development – building interactive web applications with R …
โ€ข R Packages Development – writing, documenting, and publishing R packages …
โ€ข R for Reproducible Research – rmarkdown, knitr, LaTeX, version control …

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In the UK, the demand for data science skills is rapidly growing, with a wide range of roles available in various industries. Here's an insightful look at the current landscape of these roles and their market trends, presented through a captivating 3D pie chart. 1. **Data Scientist:** These professionals leverage advanced statistical techniques and machine learning algorithms to analyze complex datasets and extract actionable insights. The 3D chart showcases that data scientists hold a 30% share of the data-related job market. 2. **Data Analyst:** Data analysts focus on interpreting and organizing data, turning it into understandable information to support business decision-making. They comprise 25% of the data-related roles, as depicted in the chart. 3. **Data Engineer:** Data engineers design and construct data systems and pipelines to extract, transform, and load data for analytics and machine learning purposes. According to the chart, they make up 20% of the data roles. 4. **Data Visualization Specialist:** These experts create visual representations of data to help stakeholders grasp insights more easily. The 3D chart illustrates that data visualization specialists account for 15% of the data-focused positions. 5. **Business Intelligence Analyst:** These professionals analyze data to gain insights about business operations and performance, identifying opportunities for improvement. The 3D pie chart highlights that they represent 10% of the data-centric roles. This Global Certificate in Data Science: R for Global Impact program is designed to equip learners with the necessary skills to thrive in these data-related roles. With a focus on R programming, the curriculum covers essential topics like data manipulation, statistics, machine learning, and data visualization, ensuring students are well-prepared for the ever-evolving data science job market.

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GLOBAL CERTIFICATE IN DATA SCIENCE: R FOR GLOBAL IMPACT
ๆŽˆไบˆ็ป™
ๅญฆไน ่€…ๅง“ๅ
ๅทฒๅฎŒๆˆ่ฏพ็จ‹็š„ไบบ
London School of International Business (LSIB)
ๆŽˆไบˆๆ—ฅๆœŸ
05 May 2025
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