Python Programming for Data Science - Part 2 offered by Oxford University
- Public University
1 Campus- Estd. 1096
Python Programming for Data Science - Part 2 at Oxford University Overview
Duration | 2 months |
Total fee | ₹21,200 |
Mode of learning | Online |
Course Level | UG Certificate |
Python Programming for Data Science - Part 2 at Oxford University Highlights
- Earn a certificate of completion from Oxford university
Python Programming for Data Science - Part 2 at Oxford University Course details
- Explore the landscape con contemporary machine learning (ML) and deep learning
- Learn how to use a variety of machine learning algorithms to extract features from the data using Python libraries
- Familiarise with the concepts of overfitting and regularisation in ML
- Gain insights on how to face scaling issues in a "big data" scenario
- Set up a data pre-processing pipeline for data science and machine learning algorithms
- The aim of this course is to provide insights on intermediate and advanced data science topics, using the Python programming language
- The course will explore concepts such as machine learning, deep learning and natural language processing from a practical hands-down point of view
- The focus will be on tools and methods rather than diving into the theoretical basis, in order to be appreciated by an audience with a minimal mathematical background
- The course will rely on Jupyter Notebooks for interactive Python programming as they are widely used in Data Science
Python Programming for Data Science - Part 2 at Oxford University Curriculum
Week 1
Introduction to the course. Basic overview of Machine Learning. Linear Regression example
Week 2
Overview of a data-science preprocessing pipeline
Week 3
Supervised Learning: regression
Week 4
Supervised Learning: classification
Week 5
Decision Trees. Ensemble Methods. The Perceptron
Week 6
Deep Learning: Feed-forward Neural Networks
Week 7
Deep Learning: Convolutional Neural Networks (CNNs) for Image Processing. Recurrent Neural Networks (RNNs) for time series analysis
Week 8
Dimensionality Reduction and Unsupervised Learning
Week 9
Natural Language Processing (NLP): an overview. Word embeddings. RNNs for NLP. Attention-based models (Transformers)
Week 10
Autoencoders and Generative Adversarial Networks (GANs). Introduction to Reinforcement Learning
Python Programming for Data Science - Part 2 at Oxford University Faculty details
Python Programming for Data Science - Part 2 at Oxford University Entry Requirements
- Prerequisite: Fundamentals of linear algebra
- Fundamental concepts of statistics
- Fundamentals of algebra
- Yes
- In countries where the normal examinations have been cancelled, university will expect the conditions of student's offer to be met by the alternative assessment put in place by qualifications' regulators.
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Python Programming for Data Science - Part 2 at Oxford University Contact Information
University Offices, Wellington Square, Oxford OX1 2JD, United Kingdom
Oxford ( Oxfordshire)