PhD Students - Here are the 50 most useful tools for researchers. 𝐋𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 1. @LitmapsApp 2. @ResearchPal 3. @ConnectedPapers 4. @Scite 5. @answerthisio 6. @SemanticScholar 7. @R_Discovery 8. PubMed 9. @zotero 10. @EndNoteNews 11. @mendeley_com 𝐏𝐚𝐩𝐞𝐫 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 1. @teampaperpal 2. @Reviewit 3. @thetrinkaai 4. @scispace_ 5. @Grammarly 6. @overleaf 7. @googledocs 8. @scrivener 9. @JuliusAI_ 10. Hemingway Editor 𝐑𝐞𝐬𝐞𝐚𝐫𝐜𝐡 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 1. @canva 2. @mindthegraph 3. @BeautifulAI_ 4. @MeetGamma 5. @piktochart 6. Designsai 7. @VismeApp 8. @prezi 9. @infogram 10. Vizzlo 𝐏𝐚𝐩𝐞𝐫 𝐑𝐞𝐚𝐝𝐢𝐧𝐠 1. @Scholarcy 2. @EnagoRead 3. @sci_summary 4. @ScribeaiHQ 5. Petal AI 6. @Outreadofficial 7. Paper Digest 8. PubReader 9. DeepDyve 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬 1. @spss 2. @tableau 3. @PowerBI 4. @NVivoSoftware 5. @Minitab 6. @msexcel 7. @clcoding 8. @googlesheets 9. JASP How to use them? For this, check my YouTube: Any other tool you'd like to add?

@RaziaAliani @deepseek_ai Perhaps the best post about the use cases of DeepSeek for researchers. Very good share.

10 FREE but very useful courses offered by Harvard University. 𝟏. 𝐇𝐢𝐠𝐡-𝐝𝐢𝐦𝐞𝐧𝐬𝐢𝐨𝐧𝐚𝐥 𝐝𝐚𝐭𝐚 𝐚𝐧𝐚𝐥𝐲𝐬𝐢𝐬 You will learn about dimension reduction, factor analysis, scaling points, and mathematical distances. Course Link: 𝟐. 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬 𝐚𝐧𝐝 𝐑 You will key programming skills in R, exploratory data analysis, random variables, and statistical tests. Course Link: 𝟑. 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞: 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 You will learn the basics of machine learning, recommendation systems, training and testing machine learning models. Course Link: 𝟒. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 You will learn about programming, algorithms, data structures, and various programming languages like Python and C. Course Link: 𝟓. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐒𝐜𝐫𝐚𝐭𝐜𝐡 You will learn about programming including functions, loops, variables, and conditions. Course Link: 𝟔. 𝐂𝐨𝐦𝐩𝐮𝐭𝐞𝐫 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐟𝐨𝐫 𝐁𝐮𝐬𝐢𝐧𝐞𝐬𝐬 𝐏𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬 You will learn about web development, programming, technology stacks, and cloud computing. Course Link: 𝟕. 𝐔𝐧𝐝𝐞𝐫𝐬𝐭𝐚𝐧𝐝𝐢𝐧𝐠 𝐓𝐞𝐜𝐡𝐧𝐨𝐥𝐨𝐠𝐲 You will learn the basics of internet, web development, programming, cyber security, and multimedia. Course Link: 𝟖. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 You will learn about AI principles, machine learning, graph search algorithms, reinforcement learning, and how to design intelligent systems. Course Link: 𝟗. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 You will learn about programming basics such as loops, objects, methods, conditionals, Boolean expressions, and arguments. Course Link: 𝟏𝟎. 𝐖𝐞𝐛 𝐏𝐫𝐨𝐠𝐫𝐚𝐦𝐦𝐢𝐧𝐠 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧 𝐚𝐧𝐝 𝐉𝐚𝐯𝐚𝐒𝐜𝐫𝐢𝐩𝐭 You will learn about HTML, CSS, Django, Git, SQL, Python, and JavaScript. Course Link: Subscribe my Newsletter for more such content. Newsletter Link: Any other free and useful courses you can add to the list?

@PhDtoProfMentor Exactly. Very good addition, thanks.

@ciaradermody12 @ProjectMgmtInst Great. Thank you for sharing.

@Hillbillyfzsh1 Thank you. Glad you found these videos useful.

PhD Students - 6 videos you may find useful. 𝟏. 𝐇𝐨𝐰 𝐭𝐨 𝐜𝐨𝐧𝐝𝐮𝐜𝐭 𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰? You will learn the following. - Step by step guide for conducting literature review. - Structure of a literature review. - Tools for literature review Link: 𝟐. 𝐓𝐨𝐩 𝟏𝟎 𝐒𝐤𝐢𝐥𝐥𝐬 𝐟𝐨𝐫 𝐏𝐡𝐃 𝐒𝐭𝐮𝐝𝐞𝐧𝐭𝐬 You will learn the following. - 10 skills to develop during PhD - Why these 10 skills are important - How to develop these 10 skills Link: 𝟑. 𝐖𝐡𝐚𝐭 𝐢𝐬 𝐚 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰? You will learn the following. - What is a literature review? - What we do literature reviews? - At which stage, we do literature review? Link: 𝟒. 𝐇𝐨𝐰 𝐭𝐨 𝐟𝐢𝐧𝐝 𝐫𝐞𝐥𝐞𝐯𝐚𝐧𝐭 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞? You will learn the following. - Where to find papers for your literature review? - What digital databases are available? - Which database you should use? Link: 𝟓. 𝟏𝟎 𝐬𝐢𝐦𝐩𝐥𝐞 𝐰𝐚𝐲𝐬 𝐭𝐨 𝟏𝟎𝐱 𝐲𝐨𝐮𝐫 𝐏𝐡𝐃 𝐩𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐯𝐢𝐭𝐲 You will learn the following. - Key challenges faced during PhD - What impacts PhD productivity? - How to increase your PhD productivity? Link: 𝟔. 𝐓𝐲𝐩𝐞𝐬 𝐨𝐟 𝐥𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐫𝐞𝐯𝐢𝐞𝐰 You will learn the following. - Various types of literature review - Reflect which one is relevant for you. Link:

@Akinkunmi7777 @UndermindAI @Evidence_Hunt @LitmapsApp @googlescholar_ @oi_pub @arxiv @SemanticScholar @R_Discovery @pubmed @scholarcy @EnagoRead The basic version of most of them is free.

@JocelynnPearl @UndermindAI @Evidence_Hunt @LitmapsApp @googlescholar_ @oi_pub @arxiv @SemanticScholar @R_Discovery @pubmed @scholarcy @EnagoRead Thank you for the useful addition, Dr Pearl. Yes, Research Rabbit is also quite useful for literature reviews.