IBM Data Science Certificate

Course 1: What is Data Science? (2 weeks)

• Data science fundamentals and career paths
• Data science methodology and tools

Course 2: Tools for Data Science (3 weeks)

• Jupyter Notebooks, RStudio, GitHub
• Python, R, SQL environments

Course 3: Data Science Methodology (2 weeks)

• CRISP-DM framework
• Problem definition to deployment

Course 4: Python for Data Science, AI & Development (5 weeks)

• Python basics and data structures
• Working with data in Python
• APIs and web scraping

Course 5: Python Project for Data Science (2 weeks)

• Hands-on project with real datasets
• Data extraction and visualization

Course 6: Databases and SQL for Data Science (4 weeks)

• SQL fundamentals and queries
• Advanced SQL and database management

Course 7: Data Analysis with Python (5 weeks)

• NumPy and Pandas for data manipulation
• Data cleaning and preparation
• Exploratory data analysis

Course 8: Data Visualization with Python (4 weeks)

• Matplotlib and Seaborn
• Advanced visualizations with Plotly
• Creating dashboards

Course 9: Machine Learning with Python (6 weeks)

• Supervised learning: regression, classification
• Unsupervised learning: clustering, dimensionality reduction
• Model evaluation and selection

Course 10: Applied Data Science Capstone (8 weeks)

• Complete end-to-end data science project
• SpaceX launch prediction case study
• Portfolio-ready project

Comprehensive 10-course program covering entire data science workflow Hands-on labs and projects using real datasets Learn industry-standard tools: Python, SQL, Jupyter, GitHub Capstone project for your portfolio IBM-recognized professional certificate No prior programming experience required

Long program: 10-12 months at 10 hours/week Certificate costs $49/month (total $500-600) Some courses feel repetitive in content coverage