Description
Duration
- This specific Code.Learn program lasts 2 weeks (2 Fridays, 2 Saturdays) with 24 hours of lectures and hands-on exercise on a real life project.
Key Objectives – Curriculum (High Level):
The core perspectives of this program will be to present, explore and adequately cover with extended real-life business case studies & industry scenarios the following thematic units:
– Python
– Numpy
– Data analysis
– Data visualization
– Hands-on example (data analysis)
– Load a dataset
– Perform a simple EDA
– Data cleaning
– Intro to Machine Learning
-> Assignment 1 (data analysis)
– Popular ML algorithms:
– Supervised
– Unsupervised
– Intro to scikit-learn
– Advanced ML concepts
– Implementing advanced preprocessing/evaluation techniques in python. Complete supervised ML workflow.
– Hands-on example (classification):
– Load a dataset.
– Preprocessing:
– Train a classification model using the optimal hyperparameters.
– Evaluate its performance.
-> Assignment 2 (classification)
– Natural Language Processing
– Hands-on example (text classification)
– Clustering
– Hands-on example (text clustering)
– Closing remarks
-> Assignment 3 (Reuters dataset clustering)
Target Audience
Data analysts, data scientists, data engineers, BI engineers/developers, information-visualization-analytics professionals as well as computer scientists, software engineers, developers and consultants who vision their future in data-relevant career paths are welcome to participate to this code.learn program and unlock the full potentiality of the topics taught by upskilling their future career.