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Goals


- Knowing how to analyze data with Python

Program

Data manipulation by using the Pandas library
Data structures for analysis: Dataframe vs others
Index
management Management of missing data
Merging of dataframes
Manipulation of date formats
Various statistical measurements on DataFrames
Analysis metrics
Data visualization
Generation of graphs (Matplotlib)

Workshop: Integration of tabular data, statistical analyzes and visualization of graphs

Reading and writing of various files
Management of structured formats: CSV, XML, JSON
Use of Python structures / classes and parsing libraries
Download of remote data
Query of REST web services

Workshop: Retrieval and parsing of external data, mapping with objects

Financial analysis: basic concepts
Panorama of Python libraries: NumPy, SciPy, IPython (Jupyter)
Matrix calculation (Numpy)
Descriptive statistics (SciPy)
Comparison of populations, measures of association (SciPy)

Workshop: Collection and analysis of financial data, representation results

Multi-threading and parallelism
Profiling with Timeit, cProfile
Distributed computation (Celery)

Workshop: Implementation of a distributed computation

Passing of the certification (if foreseen in the financing).

Duration

5 days

Price

£ 2564

Audience

Analysts, Python Developers

Prerequisites

Have taken the Python Initiation course or equivalent knowledge

Reference

PYT100595-F

Sessions

Contact us for more informations about session date