jhumku / data-science-python-course

Data Science in Python

Venue

Online training course run by the Data Science Academy, AstraZeneca, Cambridge (UK)

Trainers

Gabriella Rustici, Sergio Martínez Cuesta, Leo Souliotis, Katarzyna Nurzynska, Michał Oziębło, Daniel Roythorne, Samuel Lewis, Caterina Darcy

Course structure and links

Week	Title	Activity	Materials	Trainer
0	Troubleshooting software installations	preparation	Introduction and installations	all
0	Basic Python concepts and functions	preparation	Materials	all
0	Basic Python concepts and functions	preparation	Solutions	all
1	Data handling	Lecture	Materials	JB
1	Data handling	Recap	Solutions	JB
2	Data visualisation	Lecture	Materials	JB
2	Data visualisation	Recap	Solutions	JB
3	Key concepts in statistics and machine learning	Lecture	Materials	LS
4	Data analysis and modelling	Lecture	Materials	LS
4	Data analysis and modelling	Recap	Solutions	LS
5	Introduction to Machine Learning - part 1	Lecture	Materials	MO
5	Introduction to Machine Learning - part 1	Recap	Solutions	MO
6	Introduction to Machine Learning - part 2	Lecture	Materials	MO
6	Introduction to Machine Learning - part 2	Recap	Solutions	MO
7	Networks and Knowledge Graphs	Lecture	Materials	KN

References

• Data Science in Python by Data Science Academy at AstraZeneca:
  • June-July 2020 course
  • January-February 2021 course
  • May-June 2021 course
  • October-November 2021 course
• The University of Cambridge Introduction to Python course
• The University of Cambridge Data Science in Python course
• Data Carpentry Python lessons
• The CRUK-CI Introduction to R during COVID-19 course
• Python pandas documentation