Kıbrıs Practical Data Science with Python Eğitimi

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

Konu hakkında bilgili veri bilimi uygulayıcıları ve veri analitiği ile makine öğreniminin heyecanlı dünyasına geçmek isteyen BT profesyonelleri.

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