After this course you can use Python to turn raw data into dependable analysis: load files and databases, deal with gaps, join tables, group metrics, explore time series and show results in charts. You work with NumPy, pandas and Matplotlib throughout. It suits you if you know the basics of Python and want analysis you have been doing by hand in spreadsheets to become repeatable and easy to follow.
What you’ll take away.
- Calculate with NumPy arrays, broadcasting and universal functions
- Load data from CSV, Excel, Parquet and SQL into pandas
- Handle missing values and join and reshape tables
- Analyse metrics and time series with group-by and window functions
- Present results in charts and document them so others can follow
Your training in detail
- Who is it for?
- Analysts, technical specialists and developers who want to solve recurring data analysis tasks with Python.
- Prerequisites
- You know Python basics such as variables, loops, functions and lists. Simple statistics such as the mean and spread should be familiar.
- Format & planning
- Standard length: 3 training days. A different length can be arranged for companies.
Agenda: from understanding to application
Our independently developed agenda proposal. Focus areas, lab environment and scope are agreed before booking.
Working environment and NumPy basics
pandas: Series, DataFrames and data import
Selecting, cleaning and missing values
Joining, reshaping and group-by
Time series and window functions
Visualisation with Matplotlib and pandas
You merge measurement data and master data from two files, clean up gaps, calculate rolling averages and build a chart that answers a specific question.
Exams, licences & credentials
This course does not prepare you for a specific vendor exam, and no vendor certificate comes with it.
Vendor references & review date
Sources checked on 2026-11-04. These sources describe the technology or external exam requirements. They do not imply a partnership with NextNowa.
Your learning content
These objectives describe the training topic. The specific syllabus, dates and trainer are agreed before booking; the written offer is binding.
Frequently asked questions
Does it cover machine learning?
No, the focus is on data preparation, analysis and visualisation. That is the groundwork machine learning builds on later.
Is Excel knowledge enough to start?
Not quite. You should already be able to write simple Python scripts, as the course starts straight away with data work.
Does Python for Data Science: analysing data with NumPy, pandas and Matplotlib include a certificate?
This course does not prepare you for a specific vendor exam, and no vendor certificate comes with it.