Regular lectures and workshops to provide quality educational content on data science, from data analysis & data visualization and machine learning
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Projects will accompany lectures to provide the opportunity to apply the newly learned material, and constitute a projects portfolio. Competitions are also planned.
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Guest speakers will be invited to participate in various events held by the club. They may include presentations, Q&As, and networking sessions!
Whether you have a deep knowledge of maths & computer science won't say much about your fit to this club. Instead, there are only 3 requirements.
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It's not the first one by chance. The whole idea behind data science is to satisfy one's curiosity. It is to get insights on something (a market, a trend, people's habits, etc...) by handling data that you collect or import.
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Now that you've set your sight on a question, and have your data available, you may be tempted to conduct your analysis and call victory. Not so fast. In science, there is always a degree of uncertainty. What if your assumptions are wrong? Did you test them?
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To be successfull in your learning journey, you should know some basic elements of the following fields: Calculus (linear & polynomial functions, derivatives), linear algebra (Matrix operations), and probability (distributions). Knowledge of Python is recommended
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