Training and Events
Python for Data Analysis – London - 3-Day Training Course
|Mind Project Ltd|
Simon Walkowiak MBPsS
19/06/2019 - 21/06/2019
8th Floor, Peninsular House, 36 Monument Street, London, EC3R 8LJ
View in Google Maps (EC3R 8LJ)
Mind Project Ltd
1. Course description.
The “Python for Data Analysis” course will introduce you to all most essential and practical applications of Python programming language for data wrangling, management, analysis and basic visualisations. The course will provide you with practical skills in general Python programming language for data science purposes and a number of Python’s libraries specifically designed for scientific computing and data analysis e.g. NumPy, pandas, matplotlib, IPython, SciPy etc.
The course is suitable for data and insights analysts/scientists, data engineers and data product developers who are responsible for pre-processing of data, analytics and reporting of findings.
The course covers a variety of topics related to data processing and analysis using Python language including standard Python data structures and other data objects used for scientific and statistical computing available in NumPy (multi-dimensional arrays) and pandas (Series, DataFrame) libraries, importing/exporting data from various file formats (Excel spreadsheets, csv, tab, txt etc.), basic and more advanced data transformations and essential data wrangling techniques, summaries, data aggregations, cross-tabulations, frequency and pivot tables, simple graphical representations of the data (bar plots, histograms, box plots etc.) using matplotlib and seaborn libraries, introduction to hypothesis testing with correlations, t-tests and essentials of predictive modelling using multiple linear regression methods with SciPy, statsmodels and scikit-learn packages.
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, business and finance 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.
The programme for this course covers the following concepts and topics:
3. What is included?
Apart from the contents of the course, Mind Project will provide you with the following:
4. Further instructions.
Should you have any questions please contact Mind Project Ltd at firstname.lastname@example.org or by phone on 0203 322 3786. Please visit the course website at https://www.mindproject.io/product/python-for-data-analysis-london-june-2019/.
Entry (no or almost no prior knowledge)
£825 per person for the whole course (regular fee).
Website and registration
Quality in Quantitative Research, Descriptive Statistics, Correlation, Effect size , Statistical Theory and Methods of Inference, Regression Methods, Ordinary least squares (OLS), ANOVA, Linear regression, Quantitative Software, Python, Data Visualisation, Creating graphs and charts
Related publications and presentations
Quality in Quantitative Research