Workshop in Data Analytics using R

Objectives:

• To introduce participants to the fundamentals of data analytics using R
• A case study methodology is adopted to reinforce basics and teach first-level data science algorithms.

Learning outcomes:

• Use the R
• Perform exploratory data analysis
• Visualize data
• Develop an appreciation for basic machine learning algorithms

Workshop on Predictive Analytics Using Python

Objectives:

• To introduce participants to the fundamentals of data analytics using Python.
• A case study methodology is adopted to reinforce basics and teach first-level data science algorithms.

Learning outcomes:

• Use Python – Spyder tool
• Perform all basic operations in the dataset using the libraries
• Visualize data
• Perform exploratory data analysis
• Use Python for predictive analytics
• Execute two machine learning algorithms

An applied course in data science using R / Python

☆ People who are interested in making a career in data science*

• Bachelors/Masters in Engineering/Mathematics/Statistics/ Economics/Management.
• A study of how to pose meaningful data science problems will be covered.

The course has been designed based on requirements for careers in the corporate world. A deeper study of how to pose meaningful data science problems will be covered.

Advanced course in Machine Learning using R / Python

Objectives:

• Introduce advanced machine learning algorithms
• Code advanced and cutting-edge machine learning algorithms using R / Python
• Solve practical case studies

Learning outcomes:

• Describe a flow process for data science problems (Remembering)
• Classify data science problems into standard typology (Comprehension)
• Develop Python codes for data science solutions (Application)
• Correlate results to the solution approach followed (Analysis)
• Assess the solution approach (Evaluation)