Empfohlen
Weitere ähnliche Inhalte
Ähnlich wie How to Start a Career in Data Science - Jovian.ml
Ähnlich wie How to Start a Career in Data Science - Jovian.ml (20)
Kürzlich hochgeladen
Kürzlich hochgeladen (20)
How to Start a Career in Data Science - Jovian.ml
- 1. How to start a career in Data Science
- 2. Aakash N S • Co-founder & CEO, Jovian.ml • Ex-software engineer at Twitter • Computer Science, IIT Bombay • I write code, blog and teachaakashns
- 3. Jovian.ml Sharing and collaboration platform for data science projects & Jupyter notebooks JovianML
- 4. Why should you care about Data Science & ML? • Exciting domain with huge potential • Companies reorienting around DS/AI • Young & rapidly evolving ecosystem • Fastest growing jobs for 4+ years
- 5. 2020 2021 2022 2023 2024 2025 Source: Microsoft 20M New Jobs in Data Science & Machine Learning
- 8. You should be able to write “good” code
- 9. You should be able to write “good” code • Start with Python, R or Julia • Use Jupyter for interactive coding • Write readable & reusable code • Pick up basic skills & keep learning
- 10. You’ll need to know some high school math
- 11. You’ll need to know some high school math • Linear Algebra: vectors, matrices • Statistics: probability, distributions • Calculus: derivatives, optimization • Learns the basics on Khan Academy
- 12. Some other miscellaneous helpful skills • Experimentation mindset • Organized documentation • Presentation & storytelling • Microsoft Excel, Tableau etc.
- 13. Data science encompasses several domains • Data collection, cleaning & wrangling • Exploratory analysis & visualization • Machine learning & deep learning • Data pipelines & model deployment
- 15. The plethora of options can be intimidating
- 16. • Pick 2-3 courses to cover all topics • Join or start a study group online • Focus on application & mastery • Certifications are nice-to-have The plethora of options can be intimidating
- 17. • Python for DS & ML (Udemy) • Machine Learning (Coursera) • PyTorch: Zero to GANs (Jovian.ml) • Open ML course (mlcourse.ai) Our favorite & recommended courses
- 18. • Python for Data Analysis (Book) • Storytelling with Data (Book) • Fast.ai - Deep Learning for Coders • DeepLearning.ai Specializations Other great resources for further learning
- 21. • More important that certificates etc. • Course assignments don’t count • Pick interesting, unique datasets • Focus on code quality & presentation Portfolio Projects - Why & How
- 24. • Kaggle & Google dataset search • UCI Machine Learning Repository • awesome-public-datasets (Github) • Personal datasets (Google, FB etc.) Portfolio Projects - Datasets
- 26. • Business Analyst / Data Analyst • Data Engineer / Software Engineer • Machine Learning Engineer • Data Scientist / Researcher Understand the different roles in data science
- 27. • Gather insights & prepare reports • Use GUI-based tools & some code • Excel, Tableau, Dashboards etc. • Interact with other stakeholders Business Analyst
- 28. • Analyze company datasets • Create reports using code • Use R, Python, Jupyter etc. • Wrangling, analysis & visualization Data Analyst
- 29. • Set up big data jobs & pipelines • Aggregation, analysis & reporting • Hadoop, Spark, MapReduce etc. • Software engineering & DevOps Data Engineer
- 30. • Implement, test, deploy ML models • Convert research into production • Practical & coding focused role • Mix of development & data science ML Engineer
- 31. • Model biz. problems using data • Apply state-of-the-art research • Train, evaluate and improve models • Companies expect MS or PhD Data Scientist
- 32. • Understand role requirements • Evaluate your interests & skills • Interact with working professionals • Roles are flexible, so take it easy How to pick the right role for yourself
- 33. Skills & Domains Courses & Certifications Portfolio Projects DS/ML Job Roles Profile & Resume
- 34. • Share all your projects online • Use LinkedIn, Github, Jovian.ml • Write blog posts and tutorials • Create presentations and demos Build a strong professional public profile
- 35. • Include links to public projects • Show skills & libraries in context • Highlight your best work first • Give & get help from community Build a strong Resume for job applications
- 36. Skills & Domains Courses & Certifications Portfolio Projects DS/ML Job Roles Profile & Resume Job Search & Interviews
- 37. • Rather than finding, try to be found • Have a good understanding of basics • Practice algorithms & data structures • Practice interview-related questions Job hunting & interviewing
- 38. • Don’t lose heart. Be patient • Ask for feedback from rejections • Keep improving your skills & profile • Share & learn from the community Job hunting & interviewing
- 39. Skills & Domains Courses & Certifications Portfolio Projects DS/ML Job Roles Profile & Resume Job Search & Interviews
- 40. The importance of community
- 43. How you can leverage Jovian.ml
- 44. Beautiful project pages for Jupyter notebooks
- 45. Google AI Platform Notebooks 1-click integration with cloud GPU compute platforms
- 46. Simple yet powerful experiment tracking & comparison
- 47. Rich profiles to showcase projects and activities (coming soon)
- 48. Community forum for discussions, study groups etc. jovian.ml/forum
- 49. New Certification Course English & Hindi zerotopandas.com
- 50. See you in the forums! JovianML aakashns