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Get introduced with Python Programming language Courses
- Understand Python language basics and apply to data science
- Practice iterative data science using Jupyter notebooks on IBM Cloud
- Analyze data using Python libraries like pandas and numpy
- Create stunning data visualizations with matplotlib, folium and seaborn
- Build machine learning models using scipy and sci-kit learn
- Demonstrate proficiency in solving real-life data science problems
- The fundamental design cycle of computer science and computer programming: writing code, executing it, interpreting the results, and revising the code based on the outcomes.
- Usage of the fundamental atoms of programming: variables, mathematical operators, logical operators, and boolean arithmetic.
- Control structures for developing dynamic programs: conditionals, loops, functions, and error handling.
- The core data structures for creating useful programs: strings, lists, dictionaries, and file manipulation.
- Previews of the next big topics in computer science: object-oriented programming and computer algorithms.