Courses to learn Data Science in 2024

Learning data science involves acquiring skills in several key areas, including programming, statistics, data manipulation, machine learning, and data visualization.


1️⃣ IBM Data Science Professional Certificate
https://lnkd.in/eMpCzySs

2️⃣ Python
https://lnkd.in/e3HngjhU

3️⃣ R
https://lnkd.in/eQtUmbSR

4️⃣ PowerBI
https://lnkd.in/eTNhFnv4

5️⃣ Mathematics
https://lnkd.in/emMrEf8G

6️⃣ Tableau
https://lnkd.in/eWNEb72d

7️⃣ Excel and PowerBI
https://lnkd.in/eRzaZUpM

8️⃣ Probability
https://lnkd.in/eg4DUqFT

9️⃣ Statistics
https://lnkd.in/e3VnCiff

🔟 Linear Algebra
https://lnkd.in/e9MGEV87

1️⃣1️⃣ Machine Learning
https://lnkd.in/eN73nWph

1️⃣2️⃣ Deep Learning
https://lnkd.in/e5qPyhJW

1️⃣3️⃣ Data Analysis
https://lnkd.in/eJutfu9X

1️⃣4️⃣ Data Visualization
https://lnkd.in/e9Gfc6pY

1️⃣5️⃣ SQL
https://lnkd.in/e8w_eb3h

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- قبل الطباعة (Preprint)

هذه هي كتابة المؤلف (الباحث) الخاصة لنتائج البحث والتحليلات التي لم تتم مراجعتها من قِبل المقومين العلميين للمجلة ، ولم يكن لها أي قيمة مضافة أخرى من قِبل الناشر (مثل التنسيق وتحرير النسخ والتحسينات الفنية وما شابه ذلك).

- المخطوطة المقبولة (Accepted Manuscript)

المخطوطة المقبولة هي مخطوطة لمقالة تم قبولها للنشر والتي تتضمن عادةً تغييرات مدمجة من قبل المؤلف واقترحت أثناء الإرسال ، ومراجعة المقومين العلميين ، أومن خلال الاتصالات بين المحرر والمؤلف على حد سواء. لا يشتمل هذا النوع على المساهمات الأخرى التي يتم اضافتها من قبل الناشر للمقالة مثل تحرير النسخ والتنسيق والتحسينات التقنية والصفحات (إن وجدت).

- مقالة منشورة في مجلة ما (Published Journal Article)

مقالة منشورة في مجلة معينة (PJA) تعتبر السجل النهائي للبحث المنشور والذي يظهر أو سيظهر في المجلة وسيتضمن جميع أنشطة الناشر القيمة المضافة بما في ذلك تنسيق مراجعة المقومين العلميين وتحرير النسخ والتنسيق (إذا كان ذلك مناسبًا) ، والنشر عبر الإنترنت.

ابرز الاسباب التي من شأنها تساهم في عدم قبول البحث المرسل لمجلة معينة؟

- الاسئلة التي سيجيب عنها البحث غير محددة بوضوح.
- عدم وجود هدف واضح للبحث العلمي.
- هيكلية البحث غير مرتبة ومنظمة بشكل متسلسل.
- البحث لا يتناسب والمعايير التي تشترط وجودها المجلة للباحث في الورقة البحثية المقدمة لها.
- عدد الكلمات في البحث يتجاوز العدد المقرر للمجلة المرسل لها البحث.
- المقدمة هي عبارة عن سرد للاعمال السابقة لموضوع البحث فقط دون التطرق للمشكلة واهميتها.
- في قسم الطرق تحديداً، لا يوجد شرح مفصل وتحديد للمعايير المتبعة للتجربة المستخدمة.
- سرد النتائج دون ذكر القيّم او المتغيرات التي تم العمل عليها او اظهارها بمخططات ورسومات احصائية واضحة وذات دلالة علمية.
- تكرار المعلومات (النتائج) في كل من الجداول ومتن النص في القسم الخاص بالنتائج.
- وجود تفاصيل للنتائج بعيدة عن اسئلة البحث وجوهر معالجة المشكلة.
- مناقشة النتائج ومقدمة البحث غير مدعومة بمصادر تؤكد واقعية العمل ضمن المشكلة البحثية.
- المصادر البحثية المشار لها ضمن البحث هي اما قديمة او لا يمكن الوصول لها من قبل القارئ للبحث.
- مناقشة البحث لا تجيب عن الاسئلة التي تم طرحها في مقدمة البحث للاشارة للمشكلة البحثية التي يُراد ايجاد حل لها.
- اللغة التي تم كتابة البحث فيها هي لغة فقيرة ولا تمتلك معايير قواعدية صحيحة.

https://hottg.com/AlQalam_Academy

10 FREE Online Courses From Harvard University

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𝟏. 𝐓𝐡𝐞 𝐀𝐫𝐭 𝐨𝐟 𝐏𝐞𝐫𝐬𝐮𝐚𝐬𝐢𝐯𝐞 𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐮𝐛𝐥𝐢𝐜 𝐒𝐩𝐞𝐚𝐤𝐢𝐧𝐠: Gain critical communication skills in writing and public speaking with this introduction to American political rhetoric.

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𝟒. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐀𝐫𝐭𝐢𝐟𝐢𝐜𝐢𝐚𝐥 𝐈𝐧𝐭𝐞𝐥𝐥𝐢𝐠𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧: Learn to use machine learning in Python in this introductory course on artificial intelligence.

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𝟓. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐂𝐲𝐛𝐞𝐫𝐬𝐞𝐜𝐮𝐫𝐢𝐭𝐲: An introduction to cybersecurity for technical and non-technical audiences alike.

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𝟔. 𝐄𝐱𝐞𝐫𝐜𝐢𝐬𝐢𝐧𝐠 𝐋𝐞𝐚𝐝𝐞𝐫𝐬𝐡𝐢𝐩, 𝐅𝐨𝐮𝐧𝐝𝐚𝐭𝐢𝐨𝐧𝐚𝐥 𝐏𝐫𝐢𝐧𝐜𝐢𝐩𝐥𝐞𝐬: Mobilize people to tackle tough problems and build the capacity to thrive through the dangers of change.

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𝟕. 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞, 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠: Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

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𝟖. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐜𝐞 𝐰𝐢𝐭𝐡 𝐏𝐲𝐭𝐡𝐨𝐧: Learn the concepts and techniques that make up the foundation of data science and machine learning.

Link: https://lnkd.in/dYgavxwN?

𝟗. 𝐁𝐮𝐢𝐥𝐝𝐢𝐧𝐠 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐑𝐞𝐬𝐢𝐥𝐢𝐞𝐧𝐜𝐞, 𝐌𝐚𝐧𝐚𝐠𝐢𝐧𝐠 𝐀𝐧𝐱𝐢𝐞𝐭𝐲 𝐚𝐧𝐝 𝐌𝐞𝐧𝐭𝐚𝐥 𝐇𝐞𝐚𝐥𝐭𝐡: Join Harvard Medical School faculty Dr. Luana Marques to use applied psychology to build personal resilience with five science-driven skills.

Link: https://lnkd.in/dQefWNYU?

𝟏𝟎. 𝐈𝐧𝐭𝐫𝐨𝐝𝐮𝐜𝐭𝐢𝐨𝐧 𝐭𝐨 𝐃𝐚𝐭𝐚𝐛𝐚𝐬𝐞𝐬 𝐰𝐢𝐭𝐡 𝐒𝐐𝐋 : An introduction to databases using a language called SQL.

Link: https://lnkd.in/dCHKd-uy?

محركات البحث الاكاديمية


تمتاز محركات البحث الاكاديمية بكونها اوعية معلوماتية لكثير من المصادر والمراجع البحثية المختلفة بانواعها ومن هنا تظهر اهمية التعرف على ابرز هذه الاوعية والمحركات البحثية الرقمية ذات الطابع الاكاديمي اضافة الى اكتساب المهارة اللازمة للتعامل مع كل وعاء بصورة خاصة.
وهنا حرصت #القلم_اكاديمي على تقديم ابرز هذه الاوعية المعلوماتية واستعراضها اضافة الى نشر فيديوهات لكسب مهارة التعامل معها والحصول على المصادر المتعلقة من خلالها.
اذ تعتبر مهارة البحث والاستكشاف عن المصادر المعلوماتية من اوعيتها المعتمدة في المستوعبات العالمية مثل سكوبس(Scopus and Science Direct) وكلاريفيت (Web of Science) والمؤسسة العلمية الهندسية IEEE اضافة الى محرك الباحث الرقمي (Google Scholar) التابع لشركة كوكل ايضا من المهارات المهمة والتي ينبغي على الباحث اكتسابها لتقليل الجهد في البحث عن المصادر المتعلقة قبل الشروع بمسيرة البحث العلمي ليكون على اطلاع بابرز التقنيات والتطورات والجهود البحثية التي بذلت من قبل من سبقه في هذا المجال البحثي والوقوف على ما انتهى اليه الاخرون بمراحل ايجاد الحلول للمشكلة البحثية المتعلقة.👇👇

#القلم_اكاديمي
#ان_تكسب_مهارات_اكثر

1- محركات البحث الاكاديمية
ضمن مهارة البحث عن مصادر بحثية خلال مسيرة الطالب الدراسية، يقدم هذا الدرس استعراض عن اهم المحركات البحثية على الساحة الرقمية.
رابط الفيديو🔗👇
https://youtu.be/b19nuB3TIe0?list=PLlzaJmIxFJLc7t-yNmxc8vhIzq2tKu2w5

2- محرك البحث الهندسي (IEEE Explore) وما يحتويه من مفاهيم ومزايا

- التعرف على كيفية اجراء بحث معين ضمن محرك البحث
- كيفية تخصيص محرك البحث
- كيف يتعامل محرك البحث مع الكامات المفتاحية
- ماذا يوفره لنا محرك البحث من مفردات وخيارات نستطيع توظيفها للاستفادة منها في اتمام عملية البحث عم المصادر السابقة لموضوع البحث
رابط الفيديو🔗👇
https://youtu.be/MeVfgZHX-fU?list=PLlzaJmIxFJLc7t-yNmxc8vhIzq2tKu2w5

3- ماهو الفرق بين محركات بحث (Science Direct Vs. Scopus)

- بيان اوجه التشابه والاختلاف بين محرك بحث Scopus ومحرك بحث Science Direct
- التعرف على خصائص وميزات كليهما.
رابط الفيديو🔗👇
https://youtu.be/4DNEN33nYew?list=PLlzaJmIxFJLc7t-yNmxc8vhIzq2tKu2w5

4- محرك البحث الاكاديمي ( Science Direct) لبحوث سكوبس

التعرف على محرك البحث الاكاديمي Science Direct لاستكشاف البحوث العلمية ضمن مستوعبات سكوبس.
رابط الفيديو🔗👇
https://youtu.be/fp4qglRj3Sk?list=PLlzaJmIxFJLc7t-yNmxc8vhIzq2tKu2w5

5- مصطلحات ورموز في محرك الباحث العلمي (Google Scholar) الاكاديمي

التعرف على جميع الرموز في محرك الباحث العلمي (Google Scholar) الاكاديمي
رابط الفيديو🔗👇
https://youtu.be/U-1AQeNsZKM?list=PLlzaJmIxFJLc7t-yNmxc8vhIzq2tKu2w5


#القلم_اكاديمي
ان تكسب مهارات اكثر
🔽 انضموا لقناة الاكاديمية عبر التليكرام ليصلكم كل جديد من خلال الرابط :👇
https://hottg.com/AlQalam_Academy

💬 و يمكن مراسلة فريق الاكاديمية من خلال البريد الالكتروني : 👇👇👇👇
[email protected]

list of 10 latest AI-powered tools for data analysis:

1. Julius AI: An intelligent data analyst tool that interprets, analyzes, and visualizes complex data in an intuitive manner, making data analysis accessible for all users. https://julius.ai/

2. Microsoft Power BI: A highly useful business intelligence platform that enables users to sort through and visualize their data, supporting integrations with various sources and offering machine learning capabilities. https://lnkd.in/dyP8J4hE

3. Polymer: A robust AI tool that transforms data into a flexible and powerful database without requiring any coding, enhancing users' understanding of data and making spreadsheets searchable and interactive. https://lnkd.in/ebnNmRFN
.
4. Akkio: A business analytics and forecasting tool ideal for beginners, allowing users to analyze data, predict outcomes, and build neural networks without prior coding experience. https://lnkd.in/dKq_AXwn
.
5. Tableau: A renowned data visualization tool that expedites the process of gaining insights through interactive visualizations and features like Tableau Pulse for chatting with data. https://lnkd.in/du73RWu7

6. MonkeyLearn: A tool that specializes in sentiment analysis using natural language processing to categorize text based on opinion polarity, helping businesses gain insights from unstructured data like customer reviews. https://monkeylearn.com/

7. Elicit: A platform that assists in finding relevant papers without perfect keyword matches, summarizing key takeaways, and extracting information specific to users' questions to streamline literature review processes. https://lnkd.in/dQK6EAVs

8. Consensus: A tool for quick answers based on scientific papers, aiding researchers in extracting insights efficiently and navigating through vast amounts of research material. https://consensus.app/

9. Inciteful: A platform that curates a customized repository of scholarly articles to assist with literature review tasks, allowing researchers to focus on analysis rather than extensive background data collection. https://inciteful.xyz/

10. MirrorThink: An AI app that helps scholars scrutinize papers, verify assertions, and uphold academic integrity by providing fact-checking services for research content. https://mirrorthink.ai/
.
These AI-powered tools offer a range of features to streamline data analysis processes, enhance decision-making, and improve the accuracy and efficiency of academic research endeavors.

50 Tools to 10x your productivity in 2024.

𝐋𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰

1. Zotero
2. Mendeley
3. EndNote
4. RefWorks
5. Sciwheel
6. PubMed
7. Google Scholar
8. Scopus
9. Web of Science
10. ResearchGate

𝐃𝐚𝐭𝐚 𝐂𝐨𝐥𝐥𝐞𝐜𝐭𝐢𝐨𝐧

11.Qualtrics
12. SurveyMonkey
13. Google Forms
14. REDCap
15. Typeform
16. Jotform
17. Amazon Mechanical Turk
18. LabArchives
19. Open Data Kit (ODK)
20. Sona Systems

𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐚𝐥 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

21. SPSS tutorials
22. R and RStudio
23. SAS
24. MATLAB
25. Python (with libraries like pandas, NumPy, SciPy)
26. Stata
27. GraphPad Prism
28. Tableau
29. Microsoft Excel (with advanced analytics add-ons)
30. OriginPro

𝐐𝐮𝐚𝐥𝐢𝐭𝐚𝐭𝐢𝐯𝐞 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐢𝐬

31. NVivo
32. MAXQDA
33. Atlas.ti
34. Dedoose
35. Quirkos - Simple Qualitative Data Analysis Software
36. Transana
37. HyperRESEARCH

𝐂𝐨𝐥𝐥𝐚𝐛𝐨𝐫𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭

38. Slack
39. Trello
40. Asana
41. Microsoft Teams
42. Basecamp
43. GitHub
44. GitLab
45. Miro (for brainstorming and mind mapping)
46. Notion
47. Evernote

𝐖𝐫𝐢𝐭𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐮𝐛𝐥𝐢𝐬𝐡𝐢𝐧𝐠

48. Microsoft Word
49. LaTeX (Overleaf, TeXstudio)
50. Google Docs

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5.  Understanding the World Through Data.

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7 best tools with their Features, Pros and Cons.

𝟏. 𝐄𝐧𝐝𝐍𝐨𝐭𝐞: EndNote is one of the oldest and most popular reference management software available.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing
>Automated bibliography and citation formatting

𝐏𝐫𝐨𝐬

>Large database of citation styles
>Easy to use
>Good customer support
>Integration with various databases and search engines

𝐂𝐨𝐧𝐬

>Expensive
>Slow syncing and updating
>Limited PDF annotation options

𝟐. 𝐌𝐞𝐧𝐝𝐞𝐥𝐞𝐲: Mendeley is a reference management software that offers both a desktop and web-based version.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing
>Automated bibliography and citation formatting

𝐏𝐫𝐨𝐬

>Free version available
>Good social and sharing features
>Large community of users and support
>Easy to import and export references

𝐂𝐨𝐧𝐬

>Limited citation styles available
>Desktop version requires more memory
>Limited PDF annotation options

𝟑. 𝐙𝐨𝐭𝐞𝐫𝐨: Zotero is a free and open-source reference management software that offers both a desktop and web-based version.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing

𝐏𝐫𝐨𝐬
>Free and open-source
>Large community of users and support
>Easy to use

𝐂𝐨𝐧𝐬
>Limited citation styles available
>Limited PDF annotation options

𝟒. 𝐏𝐚𝐩𝐞𝐫𝐩𝐢𝐥𝐞: Paperpile is a reference management software specifically designed for use with Google Docs.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing
>Integration with Google Docs

𝐏𝐫𝐨𝐬
>Easy to use
>Good customer support
>Integration with Google Docs
>Good PDF annotation options

𝐂𝐨𝐧𝐬
>Expensive
>No desktop version available

𝟓. 𝐑𝐞𝐟𝐖𝐨𝐫𝐤𝐬: RefWorks is a web-based reference management software that is geared toward institutional use.

>Reference management
>Collaboration and sharing
>Automated bibliography and citation formatting

𝐏𝐫𝐨𝐬
>Institutional version available
>Good customer support

𝐂𝐨𝐧𝐬
>Expensive for individual users
>Limited citation styles available

𝟔. 𝐂𝐢𝐭𝐚𝐯𝐢: Citavi is a reference management software that is designed specifically for use in academic research.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing
>Mind mapping and knowledge organization

𝐏𝐫𝐨𝐬
>Good for large projects
>Good customer support
>Easy to use

𝐂𝐨𝐧𝐬
>Expensive for individual users
>Limited citation styles available

𝟕. 𝐉𝐚𝐛𝐑𝐞𝐟: JabRef is an open-source reference management software specifically designed for use with LaTeX.

>Reference management
>PDF annotation and highlighting
>Collaboration and sharing
>Integration with LaTeX

𝐏𝐫𝐨𝐬
>Free and open-source
>Good for use with LaTeX
>Easy to use

𝐂𝐨𝐧𝐬
>Limited customer support
>No web-based version available

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