What you will learn

• Apply various Data Science and Machine Learning skills, techniques, and tools to complete a project and publish a report.
• Practice with various tools used by Data Scientists and become experienced in using some of them like Jupyter notebooks.
• Master the key steps involved in tackling a data science problem and learn to follow a methodology to think and work like a Data Scientist.
• Write SQL to query databases and explore relational database concepts.
• Understand Python and practice Python programming using Jupyter.
• Import and clean data sets, analyze data, build and evaluate data models and pipelines using Python.
• Utilize several data visualization tools, techniques and libraries in Python to present data visually.
• Understand and apply various supervised and unsupervised Machine Learning models and algorithms to address real world challenges using Python.