Διαφάνειες εργαστηρίου (pdf) Παραδείγματα κώδικα Α: Part_Α_etpe2017.html Παραδείγματα κώδικα B: Part_B_etpe2017.html Αρχείο etpe2017.xlsx Αρχείο etpe2017.csv
Week I (8-10, Nov): Download: Introduction to the workshop (pdf) An introduction to the Quantitative research paradigm (pdf) Python basics (pdf) Sessions: Session 1 (Nov, 8): Introduction - Working with the Jupyter Notebook Session 2 (Nov, 9): Python Basics (A) Session 3 (Nov, 10): Python Basics (B) (poor sound quality...) Week II (15-17, Nov): Download: Numpy and Matplotlib (pdf) Introduction to pandas (pdf) Answers to pandas practice exercises (html) Excel file with sample research data Sessions: Session 4 (Nov, 15): Introduction to Numpy Session 5 (Nov, 16): Numpy and Matplotlib - Introduction to pandas Session 6 (Nov, 17): Working with pandas Week III (22-24, Nov): Download: Hypothesis testing (pdf) Distributions (pdf) t-Tests and ANOVA (pdf) Sessions: Session 7 (Nov, 22): Hypothesis testing Session 8 (Nov, 23): t-Testing with Scipy
Download: Introduction to the workshop (pdf) An introduction to the Quantitative research paradigm (pdf) Python basics (pdf) Sessions: Session 1 (Nov, 8): Introduction - Working with the Jupyter Notebook Session 2 (Nov, 9): Python Basics (A) Session 3 (Nov, 10): Python Basics (B) (poor sound quality...)
Introduction to the workshop (pdf) An introduction to the Quantitative research paradigm (pdf) Python basics (pdf)
Session 1 (Nov, 8): Introduction - Working with the Jupyter Notebook Session 2 (Nov, 9): Python Basics (A) Session 3 (Nov, 10): Python Basics (B) (poor sound quality...)
Download: Numpy and Matplotlib (pdf) Introduction to pandas (pdf) Answers to pandas practice exercises (html) Excel file with sample research data Sessions: Session 4 (Nov, 15): Introduction to Numpy Session 5 (Nov, 16): Numpy and Matplotlib - Introduction to pandas Session 6 (Nov, 17): Working with pandas
Numpy and Matplotlib (pdf) Introduction to pandas (pdf) Answers to pandas practice exercises (html) Excel file with sample research data
Session 4 (Nov, 15): Introduction to Numpy Session 5 (Nov, 16): Numpy and Matplotlib - Introduction to pandas Session 6 (Nov, 17): Working with pandas
Download: Hypothesis testing (pdf) Distributions (pdf) t-Tests and ANOVA (pdf) Sessions: Session 7 (Nov, 22): Hypothesis testing Session 8 (Nov, 23): t-Testing with Scipy
Hypothesis testing (pdf) Distributions (pdf) t-Tests and ANOVA (pdf)
Session 7 (Nov, 22): Hypothesis testing Session 8 (Nov, 23): t-Testing with Scipy
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