#R Language Data Analysis

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#R Language Data Analysis Reel by @marina.petzel.tech - 💻R for Data Analysis R is an open-source language that provides a wide range of powerful tools and libraries for statistical analysis. Libraries li
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@marina.petzel.tech
💻R for Data Analysis R is an open-source language that provides a wide range of powerful tools and libraries for statistical analysis. Libraries like tidyverse and ggplot will help you to clean, preprocess, and visualize your data With libraries such as stats and lme4, you can perform a range of statistical analyses. R also has a community that actively contributes to the development of new tools and libraries. This has led to a rich ecosystem of packages and tools for various data analysis tasks. Follow @ai.marina.io if you want to know more insights for effective data analysis #datascientist #datascience #dataanalytics #womenwhocode #womenintech #code #datasciencejobs #datasciencejobs #datasciencecareers #programming #r #python #startcareer #careerdataanalyst
#R Language Data Analysis Reel by @omics_logic - 👨‍💻 R Programming has become the go-to language for data analysis in various fields, including genomics, transcriptomics, and metagenomics. 💻 Its
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@omics_logic
👨‍💻 R Programming has become the go-to language for data analysis in various fields, including genomics, transcriptomics, and metagenomics. 💻 Its flexibility and extensive library of packages make it ideal for working with large datasets and complex statistical analyses. ❗️ If you're new to this field, our upcoming 3-day online workshop on Introduction to R Programming for Omics Data Analysis is the perfect opportunity for you to delve into the world of R and learn how to analyze omics data. ⏳👩‍💻 Secure your spot NOW: https://forms.gle/m44cyCGvaDutWhoT7 📅 Date: May 15 - May 17, 2024 🕒 Time: 7:00 PM IST | 8:30 AM CST 📍 Location: Online 🔄 Share this post with your colleagues who might be interested! #R #Programming #Coding #Bioinformatics #DataScience #Workshop #OnlineTraining #Certification #DataAnalysis #RStudio #DataVisualization #ggplot2 #StatisticalAnalysis #Bioconductor #Limma #DESeq2 #clusterProfiler #PathwayAnalysis #RNASeq #NGS #Networking #Technology
#R Language Data Analysis Reel by @datapatashala_official - R vs Python: Key Differences R: - Focuses on data analysis and statistics - Used primarily by academics and researchers - Powerful data visualization
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@datapatashala_official
R vs Python: Key Differences R: - Focuses on data analysis and statistics - Used primarily by academics and researchers - Powerful data visualization with libraries like ggplot2 - Runs on the RStudio IDE - Steeper learning curve initially Python: - Versatile language used for deployment and production - Favored by programmers and developers - Strong data manipulation capabilities with pandas - Integrates with machine learning libraries like TensorFlow - Smoother, more linear learning curve Both are robust data analysis tools, but have different strengths and user bases. Choosing between R and Python depends on your specific needs and background. #DataScience #Programming #RvsPython #DataAnalysis #Statistics #AcademicResearch #Developers #MachineLearning #DataVisualization #RStudio #Python #DataManipulation
#R Language Data Analysis Reel by @earthyemby - A tip if you're trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can "learn R within R." I did the R Programming cou
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@earthyemby
A tip if you’re trying to learn R ⬇️ SWIRL is a package within R Studio that has tutorials so you can “learn R within R.” I did the R Programming course as an assignment a year or so ago and now use it to refresh my memory about basic terms and codes within R. It also looks like there are quite a few “courses” within SWIRL that are not just for beginners if you already know some R and want to advance - although I haven’t tried them yet 😄 Share this with your friends who might find this useful since R is surprisingly necessary for a lot of majors and academic fields 👩🏼‍💻 #rprogramming #collegetips #gradschool #womeninstem #r
#R Language Data Analysis Reel by @paigeinscience (verified account) - My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something
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@paigeinscience
My second most asked question is always how I learnt R     I taught myself mainly by just trial and error (I have to actually physically do something I can’t just watch videos as I don’t take it in) so I started with the very basics.   I think it’s so easy to overdo and feel like you need to know how to do everything or a lot of things at the start. Stick to simple things like understanding the R studio interface and loading packages and other basic commands     (after this most things I learnt were googling very specifically what I needed to do and adding the command to a ‘useful command’ list I have)    Next:  Following a vignette from start to finish (one that would be similar to what I would soon need) I then would go through and click on functions to look at the arguments (this tells you all the parameters for the function) and how I can change them if needed!    Finally try swirl it’s so easy to just load directly in the terminal and you learn as you go!        What’s your top tips?    I also have so many more so make sure you follow!      #phd #student #coding #rprogramming #university #tipsandtricks
#R Language Data Analysis Reel by @citizendatascientist (verified account) - 📚 Starting a new learning journey! 🤓 For the next two months, Dive into the world of R programming language to enhance my data analysis skills. He
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@citizendatascientist
📚 Starting a new learning journey! 🤓 For the next two months, Dive into the world of R programming language to enhance my data analysis skills. Here's what you should plan to cover: Month 1: 📌 Basics of R programming, data structures, and functions 📌 R packages and libraries for data manipulation and visualization 📚 Resources: ➡️ R Programming A-Z™ on Udemy, ➡️ R for Data Science book by Hadley Wickham and Garrett Grolemund, ➡️ DataCamp courses Month 2: 📌 Statistical analysis and modeling, machine learning algorithms 📌 Web scraping and text analysis 📌 Putting it all together with a real-world project 📚 Resources: ➡️ Introduction to Machine Learning with R book by Scott V. Burger ➡️ Web Scraping with R course on DataCamp, ➡️ Data Science Projects in R book by Prabhanjan Narayanachar Tattar . Check link in bio for free Roadmap and Resources . Are you excited to learn new things and expand my knowledge! Follow along for updates 🚀 . Follow @citizendatascientist for more related content. . Get notified right away on our daily content, tap the triple dots on the top right “…” and tap ‘Turn Post Notifications On’ . . #data #datascience #dataanalyst #dataanalysis #dataanalytics #sql #dataengineer #dataengineering #coding #coder #programming #programmer #programmerlife #coder #dataengineer #developer #100daysofcode #python #codingisfun #codinglife #programmers #datastructures r #coderslife #Python #R #DataScience #ProgrammingLanguages 🐍📊
#R Language Data Analysis Reel by @kertutenso (verified account) - 1️⃣ "R for Data Science" by Wickham et al. is widely recommended across stats forums as one of the best books to learn hands on R programming. The is
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@kertutenso
1️⃣ “R for Data Science” by Wickham et al. is widely recommended across stats forums as one of the best books to learn hands on R programming. The is available online for free at www.r4ds.hadley.nz 2️⃣ HarvardX Data Science R Basics is free to audit assumes no prior knowledge and teaches you foundational programming concepts and operations (it doesn’t get into statistical modeling yet). 3️⃣ “An Introduction to Statistical Learning with Applications in R” by James et al. can be a little bit more technical and advanced (as it actually covers statistical topics), but comes with great real-life R coding examples.The PDF of the book is available online for free at www.statlearning.com 4️⃣ www.rscreencasts.com has a long list of screencast videos by data scientist David Robinson where he shares real-world examples of live data analyses in R, including how to approach analysis, what packages and methods he uses, as well as general R tricks and tips. 5️⃣ If you prefer more interactive learning, you might enjoy swirl (swirlstats.com) that teaches you R programming interactively inside the R console, no reading books or watching courses required. ❓Any other good recs? Drop them in the comments! #rprogramming #rstudio #datascientist #womenintech #womeninstem
#R Language Data Analysis Reel by @devxigntechtalks - Ever heard of R Programming? 🤔 Most people haven't - but Data Analysts use it every day 💡 She uses it at Flipkart and just explained exactly what
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@devxigntechtalks
Ever heard of R Programming? 🤔 Most people haven’t — but Data Analysts use it every day 💡 She uses it at Flipkart and just explained exactly what it is 🔥 Save this before you scroll 👆 Full episode link in bio 🎙️ @devxigntechtalks Real Stories · Real Roadmap · Real Path . . . . . #rprogramming #dataanalyst #dataanalytics #devxign #tech
#R Language Data Analysis Reel by @softwarewithnick (verified account) - Free book to learn data analysis 😎 This book teaches you how to use R for data analysis. No prior knowledge is required, as this book starts from th
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@softwarewithnick
Free book to learn data analysis 😎 This book teaches you how to use R for data analysis. No prior knowledge is required, as this book starts from the absolute basics! R is a coding language built SPECIFICALLY for statistical analysis. While it’s not as popular as Python, it’s still extremely powerful. Follow for more free coding resources ✅ #code #coding #tech #learntocode #data #dataanalytics
#R Language Data Analysis Reel by @ai.engineeringgg - If you want to visualise how reranking actually works… I can share a simple 5-line CODE using Cohere's API. And also a full RAG + reranking example,
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@ai.engineeringgg
If you want to visualise how reranking actually works… I can share a simple 5-line CODE using Cohere’s API. And also a full RAG + reranking example, so you can see exactly where it fits in your pipeline.
#R Language Data Analysis Reel by @the_ai_dude (verified account) - Comment 'Graph' to get the full document! . . . . In RAG (Retrieval-Augmented Generation), a knowledge graph organizes data as interconnected entitie
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@the_ai_dude
Comment 'Graph' to get the full document! . . . . In RAG (Retrieval-Augmented Generation), a knowledge graph organizes data as interconnected entities and relationships, enabling better context understanding and retrieval. It helps LLMs fetch precise, structured insights from linked information, improving reasoning, accuracy, and relevance of generated responses beyond traditional text-based document retrieval. . . . #rag #knowledgegraph #ai
#R Language Data Analysis Reel by @navokitech - 🔥 I spent 2 weeks simplifying RAG. Here's the clearest breakdown you'll ever see .. RAG turns a general LLM into a domain expert using your knowled
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@navokitech
🔥 I spent 2 weeks simplifying RAG. Here’s the clearest breakdown you’ll ever see .. RAG turns a general LLM into a domain expert using your knowledge. 💡  What is RAG ? Retrieval-Augmented Generation (RAG) is the process of optimizing the output of a large language model, so it references an authoritative knowledge base outside of its training data sources before generating a response. RAG has 3 major steps: 1️⃣  Retrieve: Find relevant information from your own data using embeddings + vector search. 2️⃣  Augment: Inject the retrieved chunks into the LLM prompt as context. This step ensures the model has the exact information it must use. This step prevents hallucination. 3️⃣  Generate: The LLM produces the final answer using both, The user’s question and the retrieved context 🌟 Why RAG Is a Big Thing Right Now 1. No fine-tuning needed - You can use your custom data instantly 2. Reduces hallucination - AI answers are grounded in facts 3. Super scalable - Works with millions of documents 4. Cheaper than training models - Retrieval minimizes token usage 5. Perfect for enterprise - Safe, controllable, auditable 6. Best way to build AI apps - Chatbots, copilots, search engines, document bots Follow @navokitech for more posts #explorepage #foryoupage #trendingreels #fyp #infographics #agenticai #rag #explore #navoki #softwareengineer #mobileappdevelopment #peoplewhocode #coding #computerscience #100daysofcode #programming #programmerslife💻  #webdeveloper #aicreator #generativeai #artificialintelligence #datascience

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