The Learning Cycle 🌱

Some startups that are currently recruiting remote workers - Kard (Getkard.com) - Glide (Glideapps.com) - moxie (joinmoxie.com) - roboflow (roboflow.com) - Better stack (betterstack.com)

Microsoft has launched 25 courses with free Professional certificates in 2024 No payment is required! (top 10 is my favorite.) Here are 25 FREE Microsoft courses to master a career in 2024. 📣 Join my telegram for regular job updates: https://t.me/learningcycle 𝐅𝐑𝐄𝐄 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐲𝐨𝐮 𝐰𝐢𝐥𝐥 𝐫𝐞𝐠𝐫𝐞𝐭 𝐧𝐨𝐭 𝐭𝐚𝐤𝐢𝐧𝐠 𝐢𝐧 𝟐𝟎𝟐𝟒. 1) Microsoft Power BI Data Analyst https://lnkd.in/g45MuT-W 2) Deep Learning Specialization https://lnkd.in/gY7WQe4K 3) Machine Learning Specialization https://lnkd.in/ggA-6-Jh 4) Data Analysis and Visualization with Power BI https://lnkd.in/guzdyJfD 5) Deep Neural Networks https://lnkd.in/gNv2qKNe 6) IBM Data Science https://lnkd.in/gu4RPKwD 7) IBM Data Analysts https://lnkd.in/gyyJvR2D 8) Advanced Data Science https://lnkd.in/g4qmTTNS 9) Data Analytics For Python https://lnkd.in/g-3tsuKG 10) IBM AI Engineering Professional Certificate https://lnkd.in/dcDMMB_8 11) IBM Data Warehouse Engineer Professional Certificate. https://lnkd.in/d6k53T_U 12) Google IT support https://lnkd.in/gh8Gs7XN 13) Google IT automation with python https://lnkd.in/gXgKcQZN 14) Google Professional Workspace Administrator https://lnkd.in/g2K9YZUN 15) Cybersecurity Analyst https://lnkd.in/gFZPmX_c 16) IBM Project Manager https://lnkd.in/d9g-SZsx 17) Google Project Management https://lnkd.in/dN4Gv65a 18) AI Product Management https://lnkd.in/dAQcVs3t 19) Fundamentals of Project Planning and Management https://lnkd.in/dUDuWrWZ 20) IBM DevOps and Software Engineering Professional Certificate. https://lnkd.in/dU3ME6bq 21) Meta UI/UX Design: https://lnkd.in/gjCp7x8E 22) Meta Frontend Developer https://lnkd.in/gTiGrbAK 23) MERN/MEAN Stack Developer https://lnkd.in/dmfer6Ys 24) Data Structures and Algorithm https://lnkd.in/gVggb6Gg 25) Excel with Basic to Advanced https://lnkd.in/g8Ysqg_X

HUGE Collections of FREE Study Resources for Developers! You will get the following: ✅ Ai data Scientist ✅ Android ✅ Angular ✅ Asp net core ✅ AWS ✅ Backend ✅ Blockchain ✅ Code review ✅ Computer Science ✅ CPP ✅ Cyber Security ✅ Design System ✅ DevOps ✅ Docker ✅ Flutter ✅ Frontend ✅ Full Stack ✅ Game developer ✅ Golang ✅ Graphql ✅ Java ✅ JavaScript ✅ Kubernetes ✅ MongoDB ✅ Nodejs ✅ PostgreSQL dba ✅ Prompt Engineering ✅ Python ✅ Qa ✅ React ✅ React Native ✅ Rust ✅ Server side game dev ✅ Software Architecture ✅ Software design Architecture ✅ Spring Boot ✅ SQL ✅ System Design ✅ Technical Writer ✅ Typescript ✅ UX Design ✅ Vue Download here👇 https://drive.google.com/drive/folders/1XRV5Unhx5hSwNV-lpeL7NnoSa7QYSbjj

𝐇𝐨𝐰 𝐭𝐨 𝐅𝐢𝐧𝐝 𝐉𝐨𝐮𝐫𝐧𝐚𝐥𝐬 𝐓𝐡𝐚𝐭 𝐎𝐟𝐟𝐞𝐫 𝐅𝐫𝐞𝐞 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠 𝐢𝐧 𝐀𝐧𝐲 𝐅𝐢𝐞𝐥𝐝 In the quest to publish scholarly work without incurring costs, researchers have numerous resources and strategies at their disposal: 1. Directory of Open Access Journals (DOAJ): With over 13,000 FREE journal listings, the DOAJ is a pivotal resource for finding journals that require no fees for publishing across various disciplines. https://doaj.org/search/journals?source=%7B%22query%22%3A%7B%22bool%22%3A%7B%22must%22%3A%5B%7B%22term%22%3A%7B%22bibjson.apc.has_apc%22%3Afalse%7D%7D%2C%7B%22term%22%3A%7B%22bibjson.other_charges.has_other_charges%22%3Afalse%7D%7D%5D%7D%7D%2C%22track_total_hits%22%3Atrue%7D 2. Online Searches and Blogs: Utilize Google and other search engines to discover blogs and websites that curate updated lists of free-to-publish journals specific to your field. 3. Instructional Videos: YouTube and other video platforms are rich with content from experienced scholars who discuss free publication opportunities and strategies for successful publishing. 4. Hybrid Journals: Many traditional subscription-based journals also offer hybrid publishing options. In a hybrid model, authors can choose to make their articles open access by paying an Article Processing Charge (APC), even though the journal typically operates behind a paywall. For those without funding, it's worth exploring whether these journals provide fee waivers or special funding opportunities that allow for free open access publication. 5. Special Waivers for LMICs: Publishers often provide waivers for researchers from low- and middle-income countries, with initiatives like SAGE’s support for Research4Life Group A and B countries leading the way. 6. Collaborative Publishing: Partnering with researchers whose institutions handle publication costs can provide a clear path to free publishing. 7. Check for Special Offers: Sometimes, journals known typically for paid publications may offer temporary free publication windows. Always check their websites and announcements for such opportunities, as these can provide a free avenue even in prestigious journals. 8. Ask for Waivers: Many journals have policies in place to support authors who are unable to afford publication fees. If you find a journal you'd like to publish in but are concerned about the costs, don't hesitate to contact the publisher to inquire about fee waivers. Explain your financial situation or any specific circumstances, such as being from a low-income country or lacking institutional support. Publishers often review these requests on a case-by-case basis and may offer full or partial waivers to help facilitate the publication of your research without financial burden. ~ Bashar

Here are 14 Courses that can help you Become a Google Certified Data Analyst for FREE:👇 1. Google Data Analytics: https://www.coursera.org/professional-certificates/google-data-analytics 2. Learn Python Basics for Data Analysis: https://www.coursera.org/learn/python-crash-course 3. Data Analysis with R Programming: https://www.coursera.org/learn/data-analysis-r 4. Foundations: Data, Data, Everywhere: https://www.coursera.org/learn/foundations-data 5. Ask Questions to Make Data-Driven Decisions: https://www.coursera.org/learn/ask-questions-make-decisions 6. Process Data from Dirty to Clean: https://www.coursera.org/learn/process-data 7. Share Data Through the Art of Visualization: https://www.coursera.org/learn/visualize-data 8. Analyze Data to Answer Questions: https://www.coursera.org/learn/analyze-data 9. Get Started with Python: https://www.coursera.org/learn/python 10. Go Beyond the Numbers: Translate Data into Insights: https://www.coursera.org/learn/go-beyond-the-numbers-translate-data-into-insight 11. The Power of Statistics: https://www.coursera.org/learn/the-power-of-statistics 12. Regression Analysis: https://www.coursera.org/learn/regression-analysis-simplify-complex-data-relationships 13. The Nuts and Bolts of Machine Learning: https://www.coursera.org/learn/the-nuts-and-bolts-of-machine-learning 14. Google Advanced Data Analytics Capstone: https://www.coursera.org/learn/google-advanced-data-analytics-capstone