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