Data Science

Course Syllabus

Curriculum information not yet available

What You'll Learn

• ✓Dos & Don'ts surrounding the content, esthetics and the way of delivering a presentation.
• ✓Learning about various software and websites that might be leveraged to create a well-designed presentation.
• ✓Learn how to create a well structured scientific reports using Latex & Overleaf.
• ✓Understand the why, how and what of data visualization while enumerating the different types of plots that can be used depending on the structure of the data.
• ✓Learn how to create static visualizations using matplotlib / mplot3D /seaborn.
• ✓Learn how to create dynamic visualizations using Plotly.
• ✓Introducing different data formats and storage (csv, tsv, xlsx, xml, HDF5, SQL, No-SQL with JSON, No-SQL with MongoDB) and the pros and cons of each one of them.
• ✓Defining and learning about data scraping and its importance.
• ✓Understanding the general semantic and structure of web pages and its link to web scraping.
• ✓ Learn how to create your own data dashboard using Google’s software “Looker Studio”.
• ✓Learning how to apply web scraping using the python library Beautiful Soup.
• ✓Learn about what is a data dashboard and why it is considered essential in the Business Intelligence area.
• ✓Learning how to quickly create a dynamic web for a straight-forward prototyping of your data science project by going through the use of the python library “Streamlit”.

Frequently Asked Questions

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