Big Data Capstone Project Training

Live Online & Classroom Enterprise Training

Further develop your knowledge of big data by applying the skills you have learned to a real-world data science project.

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What is Big Data Capstone Project Training about?

The Big Data Capstone Project will allow you to apply the skills and theory learned in the four Big Data MicroMasters courses to a medium-sized data science project.

Working on a real-world dataset with organisations and stakeholders of your choice, you will hone your data science skills and expertise.

This assignment will allow you to expand your knowledge by providing practical experience analysing, selecting, and applying applicable data science methodologies, concepts, and theories to a data science problem.

What are the objectives of Big Data Capstone Project Training ?

How to evaluate, select and apply data science techniques, principles, and theory.

How to plan and execute a project.

You can work autonomously using your initiative.

Could you identify social and ethical concerns around your project?

Develop communication skills using online collaborative technologies.

Who is Big Data Capstone Project Training for?

The Capstone project is intended to provide students with the opportunity to use their big data expertise in a real-world project inside their firm, with the instructor's direction and mentorship.

What are the prerequisites for Big Data Capstone Project Training?

Big Data Fundamentals
Programming for Data Science
Computational Thinking
Big Data Analytics

Available Training Modes

Live Online Training

24 Hours

Self-Paced Training

24 Hours

Course Outline Expand All

Expand All

Module 1: Dataset overview, data selection and ethics

Understand ethical issues and concerns around big data projects; Describe how ethical issues apply to the sample dataset; Describe up to three ethical approaches; Apply ethical analysis to scenarios.

Module 2: Exam (timed, proctored)

The exam will cover content from the first four courses in the Big Data MicroMasters program, including the Ethics section of this capstone course, DataCapX. It will include questions on code structure and testing, variable types, graphs, big data algorithms, regression, and ethics.

Module 3: Project Task 1 - Data cleaning and Regression

Understand the basic data cleaning and preprocessing steps required in the analysis of an accurate data set; Create computer code to read data and perform data cleaning and preprocessing; Judge the appropriateness of a fitted regression model to the data; Determine whether simplification of a regression model is appropriate; Apply a fitted regression model to obtain predictions for new observations.

Module 4: Project Task 2 - Classification

Build classifiers to predict the output of a desired factor; Analyse learned classifiers; Design a feature selection scheme; Design a method for evaluating the performance of classifiers.

Who is the instructor for this training?

The trainer for this Big Data Capstone Project Training has extensive experience in this domain, including years of experience training & mentoring professionals.

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