Internship← Data Science learning pathData Science · Module 10 of 10
Data science careers and projects
Build a portfolio and grow your career.
📖 Key ideas
- Skills: Python, SQL, statistics, ML, visualisation, communication.
- Projects: sales forecasting, churn prediction, sentiment analysis, recommendation system.
- Publish notebooks and dashboards on GitHub, Kaggle, Tableau Public.
- Practise Kaggle competitions and case studies.
- Certifications: Google Data Analytics, IBM Data Science, Microsoft DP-100.
💡 Real-life example: Your portfolio is a cricket scorecard: real innings (projects) speak louder than practice nets.
KaggleData science competition platform
PortfolioShowcase of projects
Case studyBusiness problem solved with data
DP-100Azure Data Scientist certification