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Become a Certified Programmer without any hassle
- 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 Scikitlearn
- Demonstrate proficiency in solving real-life data science problems
- A Notion of computation
- The Python programming language
- Some simple algorithms
- Testing and debugging
- An informal introduction to algorithmic complexity
- Data structures
- How to add JavaScript (JS) code on your Web site/Web app, how to debug it
- How to make interactive Web sites through the DOM API
- How to change the CSS styles of HTML5 elements from JavaScript
- How to deal with HTML5 forms
- How to make basic graphics and animations using the HTML5 canvas
- How to use the basic concepts of ES2016, the last iteration of the language: arrays, functions, loops, basic objects
- Define, distinguish and give examples of hardware/software, computer programs/algorithms
- Explain the concept of a variable and declare, initialize and modify variables of data types int, double and char
- Create and comment simple C-programs that may print text, special characters, and variables to the screen with controlled formatting
- Create simple C-programs that utilize for-loops to repeat blocks of instructions