Dimitris Kyrtopoulos | dk

IBM Python Project for Data Science

IBM Python Project for Data Science Dimitris Kyrtopoulos

Resource

About this Course

This mini-course is intended to for you to demonstrate foundational Python skills for working with data. The completion of this course involves working on a hands-on project where you will develop a simple dashboard using Python.

This course is part of the IBM Data Science Professional Certificate and the IBM Data Analytics Professional Certificate.

PRE-REQUISITE: **Python for Data Science, AI and Development** course from IBM is a pre-requisite for this project course. Please ensure that before taking this course you have either completed the Python for Data Science, AI and Development course from IBM or have equivalent proficiency in working with Python and data.

NOTE: This course is not intended to teach you Python and does not have too much instructional content. It is intended for you to apply prior Python knowledge.

What you will learn

  • Demonstrate your Skills in Python – the language of choice for Data Science and Data Analysis

  • Apply Python fundamentals, Python data structures, and working with data in Python

  • Play the role of a Data Scientist / Data Anlayst working on a real project

  • Build a dashboard using Python and popular Python libraries using Jupyter notebook

Skills you will gain

Data Science
Python Programming
Ipython
Data Analysis
Pandas

Syllabus

Week 1: Crowdsourcing Short squeeze Dashboard
In this module, you will demonstrate your skills in Python – the language of choice for Data Science and Data Analysis. You will apply Python fundamentals, Python data structures, and work with data in Python. By working on a real project, you will model a Data Scientist or Data Analyst’s role, and build a dashboard using Python and popular Python libraries using Jupyter notebook.