Discover the power of analytics.
Explore practical ways to use data analytics to improve organisational efficiency and competitiveness – as well as learning how to stand out through your approach and delivery.
Data Analytics Courses Online - This online certificate covers the fundamental principles and approaches to conducting analytics tasks and determining sentiment, through to more advanced predictive techniques.
Developed by leading industry practitioners, this online data analytics Certificate is derived from IAPA’s four base courses: Analytics Fundamentals, Visualisation, Sentiment Analysis and Practical Predictive Analytics provide a sound base for anyone starting a career in analytics, or those wanting greater exposure to modern, predictive techniques.
Data analytics courses online are designed for those who are curious in nature, enjoy problem-solving and prefer a self-learning, exploratory approach to knowledge.
Duration: Up to 6 months.
- Use analytics principles and the lifecycle lifecycle
- Understand analytical tools and techniques
- Define data visualisation and identify different examples of it
- Discover predictive analytic techniques and different techniques for predictive modelling
- Evaluate model effectiveness
In this online course, you’ll look at defining analytics and the lifecycle, tools for analytics, delivering results and how to predict trends. Once we have thoroughly explored the fundamentals, we’ll also look at data visualisation, developing a business case, data reduction, sample design and predictive modelling techniques. This will all be broken down into the following online courses and modules:
Course: Analytics Fundamentals
- Module 1: Defining Analytics
- Module 2: Analytics Lifecycle
- Module 3: Analytics Techniques
- Module 4: Tools for Analytics I
- Module 5: Tools for Analytics II
- Module 5: Delivering Results
- Module 6: Emerging Trends
Course: Data Visualisation
- Module 1: Introduction to Data Visualisation
- Module 2: Discovering Data Visualisation
- Module 3: Storytelling with Data
- Module 4: How to Present Data
Course: Practical Predictive Analytics
- Module 1: Introduction to Analytics
- Module 2: Developing a Business Case
- Module 3: Data Reduction
- Module 4: Variable Exploration & Model Feasibility
- Module 5: Sample Design
- Module 6: Predictive Modelling Techniques
- Module 7: Evaluating Model Effectiveness
Course: Sentiment Analysis
- Module 1: What is Sentiment Analysis?
- Module 2: Text Analysis
- Module 3: Data Pre-processing
- Module 4: Measuring Sentiment
- In-module questions and activities
- Final online exam
Who should do this course?
- Those new to analytics
- Those managing analytics teams