Oracle Data Science Certification

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Data Science & Artificial Intelligence Part-time Program

Overview

The data science & AI program is delivered in a 24 week part time and 12 week full time format and is designed for career-driven professionals to transition into the big data and AI industry. The program includes pre-work, intensive practical training, industry certification and a job outcomes program in collaboration with university partners. The course content has been tailored to give students the skills that are demanded by businesses in today’s rapidly evolving job market.

Remote learning is available for this program. The interactive remote format enabled by video conferencing technology is a rich and connected experience featuring virtual break-out rooms, shared screens, digital whiteboards, peer to peer collaboration and instructor support.

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“I wanted to be able to maintain my full-time job while building on my skills. The part time nature and career assistance at the end of the program are the main things that appealed to me.”

Beau
Institute of Data Certified Professional

Why TheInstitute Of Data?

Students Will:

Be ready to practice data science

The Institute of Data’s courses are designed to prepare students for real commercial work in the area of data science, AI and big data. It is focused on practical in-class training, labs and real-life projects.

Receive the best training and the latest curriculum

The Institute of Data trainers are actively working in the industry and will teach students how to practice data science and advanced analytics. The curriculum is developed by the Institute of Data Academic Board with decades of experience working in data science.

Be more attractive to employers

The Institute of Data’s Data Science & AI Program results in the Data Science Certification which signals to employers that students are ready to join the industry. Student’s resumes and profiles will be reviewed by students Job Outcomes team to give student the best possible chance of success.

Get more support and guidance

The member network offers support and guidance from mentors and direct connections to the industry.

Meet great people and become a member of the Institute

Beyond a healthy discipline of practical education and learning, students meet great friends in your virtual or real classroom and become a member of the Institute of Data. Many students continue to keep in touch with their fellow students and the community becomes a strong network as students enter the industry.

Download Course Outline

Ready to Enroll?

Click to view upcoming part time data science & AI program course dates.

View Part Time Dates & Enroll

View Full Time Dates & Enroll

Program Structure

Pre-Work

Students complete curated pre-work as an interactive online learning experience designed to prepare every student with the python skills required to complete all coursework and training.

Remote or In Class Training

Students undertake a professional in-classroom course from a team of expert industry trainers from leading consultancies and enterprises to acquire the most sought-after practical training in the country.

Job Outcomes

Students will undergo a Job Outcomes Program through the Institute of Data which will help position students for the best chance of a new job opportunity and/or internal promotion. Land a job in one of the most sought after fields in tech with the guidance of Professional Career Coaches and access to our hiring network.

How Will Students Be Assessed?

The Institute of Data – Data Science & AI Program is assessed through completion of labs and a final capstone project. There is no formal exam. The capstone project is a real-life project and is assessed against the Institute of Data Certification Standards set by the Academic Board and Examination Board.

Post Course

We’ll help you transition into the big data, data science and artificial intelligence industry. We have a 93% job outcome success rate within 180 days of graduation for active job seekers.

Industry Partners & Contacts

Syllabus Breakdown

Mathematics, Statistics and Programming for Data Science

Course Introduction and Overview
Programming Fundamentals for Data Science
Maths & Statistics Fundamentals for Data Science
Data Science Practice (ongoing)

Exploratory Data Analysis and Data Science Practices

Data Cleaning and Quality Assessment
Data Visualisation
Statistical Testing
Succeeding as a Data Scientist in Industry
Mini Project 1 – Data Science Practice
Critical Thinking Training

Databases and APIs

Relational and Non-Relational Databases
SQL
Application Programming Interfaces (APIs)
Data Science Practice (ongoing)

Machine Learning – Supervised Learning – Regression

Introduction to Machine Learning
Feature Modelling
Evaluating Regression Models
Overfitting and Regularisation
Questioning Technique Training

Machine Learning – Supervised Learning – Classification

Logistic Regression
Evaluating Classification Models
Support Vector Machines
Bayesian Inference
Data Science Practice (ongoing)

Machine Learning – Unsupervised Learning

K-means Clustering
Principal Components Analysis
Research and Documentation Training
Mini Project 2 – Data Science Practice

Decision Trees and Ensemble Methods

Decision Trees
Random Forests
Bias and Variance
Bagging
Boosting
Stacking
Data Science Practice (ongoing)

Natural Language Processing (NLP)

Web Scraping
Text Pre-processing
Sentiment Analysis
Text Classification
Presentation Skills Training
Data Science Practice (ongoing)

Artificial Intelligence and Deep Learning

Introduction to Artificial Intelligence
Reinforcement Learning
Deep Feedforward Neural Networks
Recurrent Neural Networks
Convolutional Neural Networks
Mini Project 3 – Data Science Practice

Machine Learning Deployment and Cloud Computing

Introduction to Cloud Computing
Deployment of Machine Learning Models
Cluster Computing
Streaming Data
Storytelling Training
Capstone Project

Ongoing Modules

Additional Topics: Determined by Students and Lead Trainer
Job Outcomes Program
Consultation and Presentation Training
Data Science Practice
Capstone Project

When Can I Start?

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Fees & Payment

Pre-payment deposit of $300 is required to enroll. Current fees are USD $12,500 for the full time and part time program. Flexible payment plans available.

Course Entry Requirements

Completion of a bachelor degree in any field of studies
Completion of any previous qualification undertaken in English
Completion of assigned online pre-work provided to you when you enroll

Time Commitment: Part Time Program

24 weeks intensive remote or in-class training | 2 night classes per week + 1 Saturday class every other week

Time Commitment: Full Time Program

12 weeks intensive remote or in-class training | Monday-Friday

Location

United States (Remote or In-person)

Contact us about enrolling into this program at your university.

You can schedule a call with an Institute of Data Career Consultant to discuss this course.

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Download Course Outline

Discuss with a Career Consultant

You can schedule a call with an Institute of Data Career Consultant to discuss this course.

Schedule a Call