Fundamentals of Data Science is a three day overview course which blends discussion and group exercises to explore the field of data science with applied real world examples and projects.
Teaching begins with a conceptual introduction to science, data science, big data and machine learning; followed by a litany of real-world data science and machine learning examples.
The remainder is divided into two parts: introduction to Python, and the application of the language in building a Machine Learning model (including data preparation, statistical tests, feature engineering, modelling and evaluation).
Delegates attending this course should have technical skills such as application or SQL programming – expose to Python or R would be advantageous.
01 Introduction to Data Science
02 Data Science Project Examples
03 Jupyter Notebook
04 Introduction to Python
05 Introduction to Datasets in Python
06 Introduction to Machine Learning
07 Introduction to Dataframes and Databases with Python
08 Exploratory Data Analysis with Python
09 Introduction to Big Data
Join our public courses in our Canada facilities. Private class trainings will be organized at the location of your preference, according to your schedule.