Python Training Courses in Thailand.
Learn to use Python to run data analysis
Learn to use Python to run data analysis
5.00
Data analysis is a skill that's growing in demand. Learn how to use various programs to analyse and visualise your data. Use languages like R and Python, to manipulate, analyse and visualise data more effectively. Get started with Python Basics, the first training course in this series.
Our courses are developed in-house by our Data Analytics Lead, Tamara Shatar. Tamara holds a PhD in Agricultural Data Science and has extensive experience focused on data analysis, modelling using machine learning, simulation and other techniques. Our courses focus on providing students with the necessary knowledge and skills to confidently apply their learnings in the workplace and continue to develop their understanding and use of Python.
Data analysis is a skill that's growing in demand. Learning how to use various programs, such as R and Python allows you to more efficiently analyze and visualize your data. Our Python training courses run regularly. See dates below.
Python BeginnerLearn Python with this beginner-friendly Python course. Get started with Python programming, JupyterLab, and data analysis using pandas, no prior coding experience required.
Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Python AdvancedAdvance your data skills with our Python advanced course. Automate analysis, write efficient Python code, and build interactive dashboards using pandas and Bokeh.
We currently have no public courses scheduled. Please contact us to register your interest.
We currently have no public courses scheduled. Please contact us to register your interest.
Python BeginnerLearn Python with this beginner-friendly Python course. Get started with Python programming, JupyterLab, and data analysis using pandas, no prior coding experience required.
Python IntermediateBoost your skills with our intermediate Python course. Learn data manipulation, build custom Python functions, and create visualisations with Matplotlib and Seaborn.
Python AdvancedAdvance your data skills with our Python advanced course. Automate analysis, write efficient Python code, and build interactive dashboards using pandas and Bokeh.
What is Data Analytics?
Businesses are accumulating data at an increasingly fast rate. This data is valuable if management can use it to support and drive more effective decision making. Data analytics involves analysing data to produce meaningful insights, identify patterns and present findings in visualisations. It is the art of finding meaning in data.
What is Python?
Python is a general-purpose programming language that is easy to use and learn. It is open source and free to use, including for commercial use. The Python user community is very active and have collectively developed over 237,000 packages which extend the functionality of the Python Standard Library. These packages contain functions to perform a wide range of tasks.
What is Python used for?
Python has a very broad range of applications, including programming robots, web development, data analysis and automation. The machine learning packages are very popular and Python's speed and efficiency make it possible to work with very large amounts of data. Because of its simplicity, diversity of applications and the active community behind it, Python has been one of the most popular programming languages for several years.
Can I use Python in Power BI?
Python can also be used within a number of Microsoft products. In Power BI, reusable Python scripts can be used to manipulate data and create visualisations. In Azure, machine learning models can be written in Python and trained and deployed within the Azure Machine Learning Workspace.
How can I prepare for my online course?
Download and install Anaconda Individual Edition from https://www.anaconda.com/products/individual
Download and unzip your files by logging into your student portal. Click on the "Materials" tab and download the relevant exercise files.
You can work in a new or existing Anaconda environment. Ensure the following packages are installed:
pandas
NumPy
Matplotlib
scikit-learn
Bokeh
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