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Graduate in 60 weeks with the Big Data and Predictive Analytics Diploma
Data is one of the most valuable assets in the modern economy. Organizations across healthcare, finance, technology, government, and retail rely on data to understand trends, improve operations, and make informed decisions.
The 60-Week Big Data and Predictive Analytics Diploma Program prepares students to work with large datasets and advanced analytical tools to uncover patterns, build predictive models, and support strategic decision-making. Through a comprehensive 1200-hour program, students develop technical expertise in data science, machine learning, big data technologies, and business analytics.
Students learn how to collect, clean, analyze, and visualize both structured and unstructured data using industry-standard tools and frameworks. The program also introduces cloud-based analytics platforms and modern big data technologies used by organizations to process large-scale data systems.
- Learn programming for analytics using Python and R
- Develop predictive models using machine learning techniques
- Work with big data frameworks such as Hadoop and Spark
- Design and manage data engineering pipelines
- Create business intelligence dashboards and visualizations
- Apply statistical methods for forecasting and trend analysis
- Complete a capstone project solving real-world analytics problems
Join Oxford College!
Build the skills that power data-driven organizations.
Data is transforming how businesses operate and compete. Organizations increasingly rely on analytics professionals who can interpret complex data and translate insights into actionable strategies.
Oxford College provides career-focused training to help students build technical expertise in data analysis, machine learning, big data technologies, and cloud-analytics platforms.
The benefits of becoming a Big Data and Predictive Analytics Professional
Data analytics professionals help organizations transform raw data into meaningful insights. By analyzing patterns and trends, they support decision-making in areas such as customer behaviour, operational efficiency, financial forecasting, and market strategy.
This diploma program equips students with strong foundations in statistical analysis, machine learning, data engineering, and predictive analytics. Students also learn to use visualization tools and business intelligence platforms to communicate insights effectively.
Graduates gain practical skills to support analytics initiatives across a wide range of industries.
Master Your Knowledge of Big Data
- Programming for data science using Python and R
- Data cleaning, transformation, and data wrangling techniques
- Statistical analysis and probability for analytics
- Predictive modelling and supervised machine learning
- Unsupervised learning and clustering methods
- Big data frameworks including Hadoop and Spark
- Cloud computing platforms for analytics workloads
- Business intelligence and data visualization tools
- Data engineering and ETL pipeline development
- Time series forecasting and predictive analysis
- Data governance, privacy, and ethical analytics
- Capstone Project
Beyond just a Diploma. More than just a career.
The ability to analyze and interpret data is becoming one of the most valuable skills in the modern workforce. Organizations across industries rely on analytics professionals to uncover insights, optimize operations, and guide strategic decisions.
Professionals trained in big data and predictive analytics help organizations identify trends, forecast future outcomes, and make data-driven decisions that improve performance and competitiveness.
Many Unique Benefits
60 weeks of specialized training in big data and predictive analytics
1200 hours of theory, lab training, and capstone project experience
Programming training in Python and R for data science applications
Exposure to machine learning techniques used in predictive modelling
Hands-on experience with big data tools such as Hadoop and Spark
Cloud analytics training using modern cloud platforms
Training in business intelligence dashboards and data visualization
Capstone project simulating real-world predictive analytics challenges
Key learnings
Upon successful completion of the Big Data and Predictive Analytics program, you will be able to:
- Collect, clean, and analyze large datasets
- Develop predictive models using machine learning techniques
- Work with big data platforms such as Hadoop and Spark
- Build ETL pipelines for data engineering workflows
- Use statistical models to analyze trends and patterns
- Create business intelligence dashboards and data visualizations
- Perform time-series analysis and forecasting
- Implement data governance and ethical data practices
- Apply analytics techniques to real business problems
Real-World experience — professional field application
Students gain practical experience through hands-on labs that simulate real-world analytics environments. They learn to process large datasets, build predictive models, and develop data pipelines using modern analytics tools and frameworks.
The capstone project allows students to apply their knowledge to real-world scenarios in industries such as healthcare, finance, marketing, and operations.
Countless Career Opportunities
Upon completion, you may find employment as a/an:
- Data Analyst
- Predictive Analytics Specialist
- Junior Data Scientist
- Machine Learning Analyst
- Junior Data Engineer
- Business Intelligence Developer
- Cloud Analytics Associate
With experience and certifications, graduates may advance into senior analytics roles, data science positions, or specialized machine learning careers.
Employment Outlook
The demand for professionals with expertise in big data and predictive analytics is growing significantly across all major sectors, including healthcare, finance, government, retail, and technology. Organizations are increasingly relying on data to inform strategic decisions, optimize operations, enhance customer experiences, and forecast future trends. As a result, graduates with a practical background in data analytics, machine learning, and cloud-based big data platforms are highly sought after.
Flexible Program Options
This program is structured to guide students through a progressive learning pathway that begins with data science fundamentals and programming before advancing into machine learning, big data technologies, cloud analytics, and predictive modelling.
Students gain both theoretical knowledge and hands-on experience through practical labs and real-world analytics exercises. The capstone project provides an opportunity to apply these skills in solving real predictive analytics challenges.
Program details
The Big Data and Predictive Analytics Diploma Program equips students with advanced analytical skills required to extract insights from large datasets and support data-driven decision-making.
Students learn how to collect, clean, manage, and analyze data using industry tools and frameworks. The program covers machine learning techniques, data engineering processes, cloud analytics platforms, and business intelligence visualization tools.
Graduates may pursue industry certifications such as:
- Cloudera Certified Associate (CCA) Data Analyst
- Certified Analytics Professional (CAP)
Course Listings: Big Data and Predictive Analytics
- Introduction to Data Science & Programming (Python/R)
- Data Wrangling and Cleaning Techniques
- Statistics and Probability for Analytics
- Predictive Modelling and Supervised Learning
- Unsupervised Learning and Clustering
- Big Data Tools: Hadoop and Spark
- Cloud Computing for Data Analytics
- Business Intelligence and Data Visualization
- Data Engineering and ETL Pipeline Development
- Time Series Analysis and Forecasting
- Data Governance, Privacy, and Ethical Analytics
- Capstone Project in Predictive Analytics
Admission Requirements
Ontario Secondary School Diploma (OSSD)
OR
Mature Student Status with Wonderlic SLE-17
Why Choose Oxford College?
Career-Focused Education
All of the diploma programs are designed for long-term careers in high-growth industries, offering you a superior fast-track education.
Expert Instructors
Our faculty consists of experienced and well-trained staff who will give you industry-relevant knowledge along with your career training.
Modern Facilities
The state-of-the-art classrooms and labs are compliant with industry standards and allow for an emphasis on practical training.
Easy Campus Access
All our six campuses are located along transit hubs, making travel easy and conveniences accessible.
Flexible Start Dates
Flexible program start dates allow you to plan and begin your new career training at any time.
Financial Aid
Financial Aid may be available to those who qualify. We have dedicated staff who can assist you with the Financial Aid process.
Testimonials
“ Joining Oxford College was one of the greatest decisions I have made and I feel so fortunate to be one of your students. I’m really enjoying your virtual classes, you are an amazing and inspiring mentor. The style and method of your teaching tells me that I’m on the right track towards my potential career. “
-Abdelgadir Gadam, Oxford College Graduate