Skip to main content

Useful tips

 𝐋𝐢𝐭𝐞𝐫𝐚𝐭𝐮𝐫𝐞 𝐑𝐞𝐯𝐢𝐞𝐰 𝐚𝐧𝐝 𝐑𝐞𝐟𝐞𝐫𝐞𝐧𝐜𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭


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 𝐚𝐧𝐝 𝐒𝐮𝐫𝐯𝐞𝐲 𝐓𝐨𝐨𝐥𝐬


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 Coding

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

51. Scrivener

52. Grammarly

53. Turnitin

54.Typeset

55.Authorea

56.Hemingway Editor

57.Manuscripts


𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐚𝐧𝐝 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧


58.Microsoft PowerPoint

59. Prezi

60.Canva

61.Adobe Illustrator

62.Venngage

63. Plotly

64. Gephi (for network visualization)

65.Tableau Public

66.D3.js

67. Infogram


𝐀𝐜𝐚𝐝𝐞𝐦𝐢𝐜 𝐍𝐞𝐭𝐰𝐨𝐫𝐤𝐢𝐧𝐠 𝐚𝐧𝐝 𝐏𝐫𝐨𝐟𝐢𝐥𝐞 𝐌𝐚𝐧𝐚𝐠𝐞𝐦𝐞𝐧𝐭


68.LinkedIn

69. ORCID

70.Academia.edu

71.Loop (by Frontiers)

72.Impactstory

73.Google Scholar Profiles

74.ResearcherID

75. Publons


𝐅𝐮𝐧𝐝𝐢𝐧𝐠 𝐚𝐧𝐝 𝐆𝐫𝐚𝐧𝐭 𝐒𝐞𝐚𝐫𝐜𝐡𝐢𝐧𝐠


76.Grants.gov

77. Pivot

78.Research Professional

79.SPIN (Sponsored Programs Information Network)

80. FundRef


𝐂𝐨𝐝𝐞 𝐚𝐧𝐝 𝐃𝐚𝐭𝐚 𝐒𝐡𝐚𝐫𝐢𝐧𝐠 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦𝐬


81. Figshare

82. Zenodo

83. Dryad

84.Open Science Framework (OSF)

85.Dataverse

86.Kaggle

87.Code Ocean

88.GitHub

89.GitLab

90.Docker (for containerization and reproducibility)


𝐀𝐈 𝐚𝐧𝐝 𝐌𝐚𝐜𝐡𝐢𝐧𝐞 𝐋𝐞𝐚𝐫𝐧𝐢𝐧𝐠 𝐓𝐨𝐨𝐥𝐬


91.TensorFlow Certificate Program

92. PyTorch

93. scikit-learn

94. Keras

95. Fast.ai

96.Google AI Platform

97.IBM Watson

98.Microsoft Azure Machine Learning

99.Amazon SageMaker

100.OpenAI GPT (for text analysis and generation)

Comments

Popular posts from this blog

Python road map

 

Ways of pandas making faster

 FireDucks makes Pandas 125x Faster (changing one line of code) 🧠 Pandas has some major limitations: - Pandas only uses a single CPU core. - It often creates memory-heavy DataFrames. - Its eager (immediate) execution prevents global optimization of operation sequences. FireDucks is a highly optimized, drop-in replacement for Pandas with the same API.  There are three ways to use it: 1) Load the extension:  ↳ %𝐥𝐨𝐚𝐝_𝐞𝐱𝐭 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝐩𝐚𝐧𝐝𝐚𝐬; 𝗶𝗺𝗽𝗼𝗿𝘁 𝗽𝗮𝗻𝗱𝗮𝘀 𝗮𝘀 𝗽𝗱 2) Import FireDucks instead of Pandas:  ↳ 𝐢𝐦𝐩𝐨𝐫𝐭 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝐩𝐚𝐧𝐝𝐚𝐬 𝐚𝐬 𝐩𝐝 3) If you have a Python script, execute is as follows:  ↳ 𝗽𝘆𝘁𝗵𝗼𝗻3 -𝗺 𝗳𝗶𝗿𝗲𝗱𝘂𝗰𝗸𝘀.𝗽𝗮𝗻𝗱𝗮𝘀 𝗰𝗼𝗱𝗲.𝗽𝘆 Done! ✔️ A performance comparison of FireDucks vs. DuckDB, Polars, and Pandas is shown in the video below. Official benchmarks indicate: ↳ Modin: ~1.0x faster than Pandas ↳ Polars: ~57x faster than Pandas ↳ FireDucks: ~125x faster than Pandas Credit- Ultan...

Top excel formula,master it