We can host this training at your preferred location. Contact us!

This three day course is aimed at those wishing to learn how to use Python to work with and handle Data. When combined with our Introduction to Data Science course you would be set up well to follow a Python learning journey into Data Science, Machine Learning, and Artificial Intelligence.

During the programme you will be introduced to Python and specific development environments and packages for working with Data, with a focus on NumPy, Pandas, Matplotlib, and Seaborn.

Along the way you will see how to clean and manipulate tabular data, apply simple statistical techniques and data visualisations, and learn about how to control the flow of your program in order to automate processes.

Throughout the course you will engage with activities and discussions with one of our Data Science technical specialists and complete technical lab activities to practice the techniques you have learnt and develop ideas for further practice.

No prior experience with Python is necessary, though it is assumed that you will be familiar with core data concepts such as simple table structures and data types – all the pre-requisites you need are covered by our Data Fundamentals course.

To apply your knowledge of data practically using Python for handling data in roles that involve data analysis, data engineering, data science, machine learning and AI, and Data related Ops roles.
If you are in a Software or IT related role where you work with Python, this course will support you in learning how to work with Data.
To ensure you have the necessary pre-requisite knowledge when combined with Introduction to Data Science should you wish to progress onto Data Science and Machine Learning with Python.

1. Introduction to Programming for Data Handling

Describe the pros and cons of using programming languages to work with data
Identify the languages most suitable for data handling
Explain the challenges of using programming languages versus data analysis tools

2. Introduction to Python and IDEs

Describe the key attributes of the Python programming language.
Explain the role of the Jupyter IDE for Python programming.
Use the Jupyter IDE to write a basic Python program.
Write a program which uses string, integer, float and boolean data types.

3. Data Structures, Flow Control, Functions, and Basic Types

Construct collections to solve data problems.
Utilise selection and iteration syntax to control the flow of a Python program.
Write reusable functions which can be used to alter data & automate repetitive tasks.
Use Python's built-in open function to create, read, and edit files.

4. Mathematical and Statistical Programming with NumPy

Describe the core features of NumPy arrays.
Create, index, and manipulate NumPy arrays to solve data problems.
Use masking and querying syntax to retrieve desired values.
Use vectorised ufuncs.

5. Introduction to Pandas

Create, manipulate, and alter Series and DataFrames with Pandas.
Define and change the indices of Series & Dataframes.
Use Pandas' functions and methods to change column types, compute summary statistics and aggregate data.
Read, manipulate, and write data from csv, xlsx, json and other structured file formats.

6. Data Cleaning with Pandas

Identify missing data and apply techniques to deal with it.
Deduplicate, transform and replace values.
Use DataFrame string methods to manipulate text data.
Write regular expressions which munge text data.

7. Data Manipulation with Pandas

Construct Pivot tables in Pandas.
Time series manipulation.
Stream data into Pandas to handle data size problems.

8. Methods for Visualising Data

Construct and tailor basic data visualisations using Matplotlib & Seaborn for both numeric & non-numeric data.
Meaningfully visualise aggregate data using Matplotlib and Seaborn.

Data Handling in Python Training Course in Finland

Finland is a country located in northern Europe. Helsinki is the capital and largest city of the country. The majority of the people are Finns but there is also a small Lapp population in Lapland, where the country is famous for the Northern Lights. Finland's national languages are Finnish and Swedish.

Known for its vast forests, lakes, and natural beauty, Finland is one of the world's largest producers of forest products, such as paper, pulp, and lumber. One of the world's largest sea fortresses Suomenlinna, Rovaniemi with the "White Nights", dogsled safaris and of course the Northern Lights are what makes Finland so popular for tourists. Finland is one of the best places in the world to see the Northern Lights and attracts millions of tourists during its seasons.

Finland is home to a thriving technology industry and is widely recognized as one of the world's leading technology hubs. Companies such as Nokia and Rovio (creator of the popular game Angry Birds) are based in Finland. Some of the key factors that have contributed to Finland's success in technology include; strong investment in research and development, a highly educated workforce and fundings.

Finland has a strong educational system, and is widely regarded as one of the world's most literate countries. In fact, Finland's literacy rate is one of the highest in the world, and its students consistently perform well in international tests of math and reading ability.

Also, as a pioneer in environmental sustainability, Finland is known for its efforts to reduce its carbon footprint and promote clean energy. This Nordic country is also famous for its unique and distinctive cultural heritage, including its traditional folk music and its elaborate traditional costumes.

Helsinki, Finland's capital city, is the country's business center. Helsinki is Finland's largest city, and it is home to many of the country's major corporations and organizations, including many of the country's leading technology firms. The city is also a commercial, trade, and financial center, as well as one of the busiest ports in the Nordic region.

Take advantage of our diverse IT course offerings, spanning programming, software development, business skills, data science, cybersecurity, cloud computing and virtualization. Our knowledgeable instructors will provide you with practical training and industry insights, delivered directly to your chosen venue in Finland.

Data Handling in Python Training in Finland

Upcoming Trainings

Data Handling in Python Training in Finland

Prerequisites

What You Will Learn

Outline

Upcoming Trainings