Python data analysis course with JupyterLab E-learning
Python with JupyterLab for scripts, apps, data analysis and websites
This online course is about the versatile and accessible programming language, Python, developed in the 1990s. Due to its intuitive design and use of indentation, Python is easy to understand and learn by people with little or no programming knowledge. Python is free, can be used on almost every platform and makes use of many types of libraries and data files. Because of this, and the infinite number of application possibilities, Python has become one of the most used programming languages for scripts, applications, data analysis and websites. In this e-learning you get to work with Python to master data analysis via JupyterLab.
Python has a clearly readable code, one can say a lot with few words. This is expressed, for example, by the structure with line indentation instead of braces and the ending of statements at the end of a line. Furthermore, variables are not given a type declaration.
Content e-learning course Python with JupyterLab
In this online course Python with JupyterLab, many topics are covered to master data analysis with Python. You will spend about 16 hours on this course, provided that you have programming experience with Python as a basis. Before you start this online course, you should be able to work with lists, tuples and dictionaries, loops and conditionals and be able to write functions in Python. With extensive videos, lectures, quizzes and exercises, you will master the data analysis with Python with JupyterLab. Did you miss something? No worries, because the e-learning course remains accessible one year after activation.
Topics of the course Python data analysis with JupyterLab
- Jupyter notebooks
- purpose and use of NumPy
- one-dimensional NumPy arrays
- two-dimensional NumPy arrays
- Using boolean arrays to create new arrays
- purpose of "pandas
- serial objects and one-dimensional data
- DataFrame objects to two-dimensional data
- Create plots with matplotlib
Results of the e-learning course Python with JupyterLab
After successfully completing the online Python data analysis course with JupyterLab, you will know how to use the Jupyter Notebook, which is great for writing, testing and sharing fast Python programs. You will learn to work with NumPy and with Pandas, which makes segmenting and grouping data easier. In addition, you know some simple data visualisation techniques with Matplotlib. And all this to make the right data analyses.
Basic Python programming experience is required. Specifically, you should be able to handle: strings; lists, tuples and dictionaries; loops and conditionals and writing functions.
This is an e-learning course in the English language. The self-paced courses are our affordable alternative for students seeking the flexibility to learn at their own pace. The content is delivered online using videos, quizzes and exercises. The courses are written by expert instructors.
E-learning, per person: