The badge earner is ready for a career in data science with demonstrated ability to solve for real-world problems. They can apply Data Science methodology - work with Jupyter notebooks - create Python apps - access relational databases using SQL & Python - use Python libraries to generate data visualizations - perform data analysis using Pandas - construct & evaluate Machine Learning (ML) models using Scikit-learn & SciPy and apply data science & ML techniques to real location data sets.
- Type Validation
- Level Advanced
- Time Months
- Cost Paid
Skills
- AI
- Artificial Intelligence
- Bokeh
- Classification
- Clustering
- Data Analysis
- Database
- Data Science
- Data Visualization
- Db2
- Folium
- Foursquare
- IBM Cloud
- Jupyter
- Location
- Machine Learning
- Matplotlib
- Methodology
- ML
- Notebook
- NumPy
- Pandas
- PWID-B0601500
- Python
- Recommender Systems
- Regression
- RStudio
- Scikit-learn
- SciPy
- Seaborn
- SQL
- Studio
- Watson
- Zeppelin
Earning Criteria
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Receive the Data Science Professional Certificate from Coursera.