Q W A N T

Upskill Data Science

Collect and report data, and communicate their findings to both business and technology.
Pre-Season Season 1 Season 2
Basic software engineering principles, variables, functions, loop statements, if statements, basic algorithms and data structures. Learners move on to Python and the fundamentals of machine learning, covering regressions, training sets, structured vs unstructured data, and data collection, display, and storage. Learners also cover some of the cloud-based tools available for ML. After getting a handle on Python, learners advance deeper into machine learning, large/complex data sets, business principles and the use of data to improve key business outcomes, and how data can be a strategic asset to a business. Learners complete multiple real-world, larger projects.
Python IDE Terminal Python Pytorch Jupyter Python, Panda, Tensor Flow, Keras, Jupyter
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