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ALT.Labs 1 - Python for Data Analysis - The Right Technique and Tools to Analyse Data

Home / EVENTS

ALT.Labs 1 - Python for Data Analysis - The Right Technique and Tools to Analyse Data

The ALT.Labs series aim to give participants of the community a detailed hands-on expertise on the latest technologies in the current Industrial revolution ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security. In this series, as a follow up to the lecture on Introduction to Data Science, the trainer/speaker will go through data analysis using Python 3, a powerful and prominent language used widely for data analysis and data science.The participants will be taken through a crash course in Python basics and then have a detailed session on all the tools used to analyse and visualise data. As this will be a hands-on session, the participants are expected to have their own laptop installed with Python 3 and Jupyter Notebook before coming to the session.AgendaTimeActivity9:00 AM - 9.30 AMRegistration9:30 AM - 12.30 PM ALT.Labs12:30 PM - 1.30 PM Lunch (Lunch/ Refreshment not provided1:30 PM - 3.30 PMALT.LabsRequirements Bring own laptop Have a pre-installed version of Python 3 and Jupyter Notebook. (OR YOU CAN USE google co-lab with good alternative . - https://colab.research.google.com)NOTE: If you don’t already have Python and Jupyter Notebook installed and wish to install on your local machine instead of using Google Co Lab, we recommend installing it via Anaconda, go to https://www.anaconda.com/distribution/, and install latest version of Python 3 depending on your machine OS. No prior experience of Python is expected, but will be advantageous if you know some basic programming methodologies Extension PlugWho should attend Startups Data Science Artificial Intelligence Innovators Students

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Home / EVENTS

ALT.Labs 1 - Python for Data Analysis - The Right Technique and Tools to Analyse Data

May 11, 2019 12:00 AM

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12:00 am

MaGIC (Malaysian Global Innovation & Creativity Centre)

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The ALT.Labs series aim to give participants of the community a detailed hands-on expertise on the latest technologies in the current Industrial revolution ranging from IOT, Cloud Computing, Robotics, AI & Big (Extreme) Data, and Cyber Security. In this series, as a follow up to the lecture on Introduction to Data Science, the trainer/speaker will go through data analysis using Python 3, a powerful and prominent language used widely for data analysis and data science.The participants will be taken through a crash course in Python basics and then have a detailed session on all the tools used to analyse and visualise data. As this will be a hands-on session, the participants are expected to have their own laptop installed with Python 3 and Jupyter Notebook before coming to the session.AgendaTimeActivity9:00 AM - 9.30 AMRegistration9:30 AM - 12.30 PM ALT.Labs12:30 PM - 1.30 PM Lunch (Lunch/ Refreshment not provided1:30 PM - 3.30 PMALT.LabsRequirements Bring own laptop Have a pre-installed version of Python 3 and Jupyter Notebook. (OR YOU CAN USE google co-lab with good alternative . - https://colab.research.google.com)NOTE: If you don’t already have Python and Jupyter Notebook installed and wish to install on your local machine instead of using Google Co Lab, we recommend installing it via Anaconda, go to https://www.anaconda.com/distribution/, and install latest version of Python 3 depending on your machine OS. No prior experience of Python is expected, but will be advantageous if you know some basic programming methodologies Extension PlugWho should attend Startups Data Science Artificial Intelligence Innovators Students

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