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Duration
4 weeksWeekly study
0 hours
Data Analytics and Data Mining: The Introduction
In this course, you will do a quick recap of introductory probability theory, inferential statistics and linear regression. You will also be introduced to logistic regression.
What topics will you cover?
- Explain the relationship between data analytics and statistics.
- Discuss the history of data analytics and list the main milestones in its history.
- Describe the analytics process.
- List and explain probability laws.
- Analyse basic linear and logistic models.
- Conduct process of hypothesis testing based on a working example.
Learning on this course
On every step of the course you can meet other learners, share your ideas and join in with active discussions in the comments.
What will you achieve?
By the end of the course, you‘ll be able to...
- Define data analytics
- Explain the relationship between data analytics and statistics.
- Discuss the history of data analytics and list the main milestones in its history.
- Describe the analytics process.
- Define probability and statistics.
- List and explain probability laws.
- Analyse basic linear and logistic models.
- Conduct process of hypothesis testing based on a working example.
Who is the course for?
The course is aimed at IT professionals in employment in the Republic of Ireland registered companies. To qualify for direct entry they must have a Level 8 Honours Degree (2.2) or higher in Computer Science, Computing, Computer Applications or a related discipline. Applicants without these entry requirements (e.g., Level 7 degree or lower than an Honours 2.2 in a Level 8 degree) may be considered if they can demonstrate previously obtained competence equivalent to the entry requirements.
Learning on FutureLearn
Your learning, your rules
- Courses are split into weeks, activities, and steps to help you keep track of your learning
- Learn through a mix of bite-sized videos, long- and short-form articles, audio, and practical activities
- Stay motivated by using the Progress page to keep track of your step completion and assessment scores
Join a global classroom
- Experience the power of social learning, and get inspired by an international network of learners
- Share ideas with your peers and course educators on every step of the course
- Join the conversation by reading, @ing, liking, bookmarking, and replying to comments from others
Map your progress
- As you work through the course, use notifications and the Progress page to guide your learning
- Whenever you’re ready, mark each step as complete, you’re in control
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