Learnit Training
Python data analysis course with JupyterLab E-learning
  • Discover infinite possibilities with Python with programming in JupyterLab.
  • Python with JupyterLab for scripts, apps, data analysis and websites.
  • Master Python data analysis with JupyterLab.
  • Learn to use the Jupyter Notebook to write, test and share fast Python programs.
  • You will learn simple data visualisation techniques with Matploblib in this online course.

If you use or plan to use Python for data science or data analysis, then this is the right Python course for you. The course assumes that you already have a good amount of Python training and/or experience. You will learn how to use Jupyter Notebook, a great tool for writing, testing and sharing fast Python programs. You'll learn NumPy, which makes working with arrays and matrices (rather than lists and lists of lists) much more efficient, and pandas, which makes manipulating, mashing, segmenting and grouping data much easier. You will also learn some simple data visualisation techniques with matplotlib.

Yes, I want to know more

"Extensive treatment of the ins and outs of Python, with especially practical tips. Presented in a compact and understandable way by the 'Pythonista' Andre van Wieringen. He really brought us to a higher level in three days of lessons. Definitely recommended!" - Rating: 8.7

learnit Programming in Python

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

  • JupyterLab
  • Jupyter notebooks
  • Markdown
  • 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.

Prior knowledge

Basic Python programming experience is required. Specifically, you should be able to handle: strings; lists, tuples and dictionaries; loops and conditionals and writing functions.

Note

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.

Investment

E-learning, per person:


Price (excl. VAT)

€ 100,-

VAT 21%

€ 21,-

Total incl. VAT

€ 121,-

References

The course Python data analysis with JupyterLab E-learning has been assessed with an average of 8.3.

"Extensive treatment of the ins and outs of Python, with especially practical tips. Presented in a compact and understandable way by the 'Pythonista' Andre van Wieringen. He really brought us to a higher level in three days of lessons. Definitely recommended!" - Rating: 8.7

Paul de Vries, Xsens Technologies B.V. - Programming in Python

"Good practical introduction to Python. You learn to be able to program independently." - Rating: 7.7

Fred Uiterweerd, ICTU Foundation - Programming in Python

"I followed this training to my full satisfaction. A very good trainer with a lot of practical experience clearly communicated the material to me and my colleagues with appealing examples and assignments. I can recommend this course to anyone who wants to become familiar with Python in a short time." - Rating: 8.3

Robin van Schaik, Albelli B.V. - Programming in Python

"Excellent training, immediately applicable. Course given by a teacher with experience in using Python. Highly recommended!" - Rating: 8.4

R.A.A. van Vliet, STEricsson - Python Programming

"The training has given me in 2 days a good picture of Python, the basics, the possibilities but also to work and practice it myself. Now the threshold is lower for me to start using it myself." - Rating: 7.7

Frederica Janga, Dutch Gas Union N.V. - Programming in Python

"Intensive and inspiring! - Rating: 8.1

Christiaan Kusters, AFM - Programming in Python

"A pleasant way to get to know the basics of Python and to continue with it after the course. Highly recommended!"

- Python programming basics

"Nice, interesting training for a first basis to get started with Python" - Rating: 8.6

Sander Huitema, Nederlandse Gasunie N.V. - Programming in Python