Practical Data Science with Python Training

• GCSE level mathematics or above. Alternatively, familiar and comfortable with logical and mathematical thinking
• Familiar with basic knowledge of programming: variables, scope, functions

For fledging data science practitioners, and for IT professionals who wish to move to the exciting world of data analytics and machine learning.

At the end of the course attendees will know:

• Fundamental concepts of Data Science
• Methodologies used in Machine Learning
• Summary statistics and how to use statistical inference to analyse data
• Hands on R programming language for numerical analysis
• Hands on Python programming language for numerical analysis
• Most used simple machine learning algorithms

At the end of the course attendees will be able to:

• Speak the language of data scientists
• Write R or Python programs to analyse data
• Understand a R or Python program in the context of data analytics
• Explore and visualise data using R or Python
• Build working machine learning models

• Introduction to Data Science
• Methods in Machine Learning
• Introduction to Mathematics
• Statistics for Data Science
• Introduction to Python
• Programming in Python
• Numerical Python
• Data Manipulation with Pandas
• Data Visualisation with Matplotlib and Seaborn
• Data Exploration
• Machine Learning Algorithms
• Python Machine Learning
• NoSQL Databases
• Hadoop and Ecosystems