Training and Events
Data Analysis in Python - London - 3-Day Training Course
|Mind Project Ltd|
Simon Walkowiak MBPsS
21/03/2018 - 23/03/2018
CAP House, 1st Floor, 9-12 Long Lane, London, EC1A 9HA
View in Google Maps (EC1A 9HA)
Mind Project Ltd
1. Course description.
The “Data Analysis in Python” course will introduce you to all most essential and practical applications of Python programming language for data manipulation, management, analysis and basic visualisations. The course will provide you with practical skills in general Python programming language a number of Python’s libraries designed for scientific computing and data analysis e.g. NumPy, pandas, matplotlib, IPython, SciPy etc. During the course you will learn to:
The course will run for three days (Wednesday to Friday) between 9:30am and ~5:00pm and will consist of alternating lecture-style presentations and practical tutorials. The example datasets used during tutorial sessions will come from social sciences, psychology and business fields, however the contents may vary depending on specific interests of participants (based on the Participant's Skills Inventory). There will be two 15-minute coffee/tea breaks and one 1-hour lunch break on each day of the course.
3. What is included?
Apart from the contents of the course, Mind Project will provide the participants with the following:
4. Further instructions.
Should you have any questions please contact Mind Project Ltd at email@example.com or by phone on 0203 322 3786. Please visit the course website at https://www.mindproject.io/product/data-analysis-in-python-london-march-2018/.
Entry (no or almost no prior knowledge)
£630 per person for the whole course (regular fee).
Website and registration
Data Quality and Data Management , Quantitative Data Handling and Data Analysis, Descriptive Statistics, Statistical Theory and Methods of Inference, Regression Methods, Ordinary least squares (OLS), ANOVA, Linear regression, Data Mining, Quantitative Approaches (other), Quantitative Software, Python, Data Visualisation
Related publications and presentations
Data Quality and Data Management