Big Data Analytics – What’s the big idea?
“Big data” is a term for data sets that are so large or complex that traditional data processing application software is unable to adequately deal with them. Challenges include capture, storage, analysis, data curation, search, sharing, transfer, visualisation, querying, updating, and information privacy. The term big data often refers simply to the use of predictive analytics, user behaviour analytics, or certain other advanced data analytics methods that extract value from data, and rarely to a particular size of data set.
Multinational corporations such as LinkedIn or Pinterest are having to use complex data analytics to manage the sheer volume of big data that they possess. This has become a lucrative business for technical specialists who can effectively manage this data on their behalf, working either on a contract or permanent basis.
Global Edulink’s training programmes and strategies can have a tremendous impact on the overall ability of a professional to compete effectively in the global marketplace. By studying this course, you are guided through this exciting subject by qualified experts. Learn such principles as the development of a mind set for mastering huge volumes of data. Get to grips with algorithms and their complexity. Gain an understanding of effective data preparation and the data management cycle. Examine how to train computers to think like humans, and consider social networks and their degrees of separation. Comprehend how to deal with privacy and security, and look to future developments within this field. This big data analysis online course will be a great opportunity you to master your big data analytic skills.
Who is it for?
- Analysts, IT, Business, and other technical professionals.
- No entry requirements though it may be useful to have a general technical background.
- This course is available to all students, of all academic backgrounds. However, basic knowledge of Microsoft Office would be an advantage.
- Learners should be ages 16 or over to undertake the qualification.
- Basic understanding of English language, literacy, numeracy and ICT are required to attend this course.
Benefits you will gain:
- High quality e-learning study materials and mock exams
- Tutorials/materials from the industry leading experts
- 24/7 Access to the Learning Portal
- Benefit of applying NUS extra Discount Card
- Recognised Accredited Qualification
- Excellent customer service and administrative support
Successful candidates will be awarded a CPD accredited certificate in Mastering Big Data.
This course would benefit the following:
- Senior Business Analyst, Data Governance
- Experimentation and Web Analytics Analyst
- Strategic Analytics Manager
- Business Science Data Planner
- Digital Analyst
- Business Intelligence Engineer
- Big Data Analyst
Course Search: Big data certificate courses, Online big data courses, big data certification courses, big data online courses
|1. Get the big ideas behind Big Data and Analytics|
|An Overview of Data and Analytics||00:34:00|
|Have you got Data? What Are You Wondering About?||00:31:00|
|2. An Approach for Mastering the Data Deluge|
|Approaches to Data Deluge||00:31:00|
|3. Studying Patterns and Causes|
|Studying Patterns and Causes||00:28:00|
|4. How to manage Complexity of Algorithms? & Data Management Cycle|
|How to manage Complexity of Algorithms?||00:30:00|
|The Data Management Cycle||00:28:00|
|5. How to get Graphic and Seeing the Data?|
|Understanding Graphics and Data||00:27:00|
|6. How to prepare Data for Success?|
|How to Prepare Data ?||00:29:00|
|7. New Statistics Transforming Sports|
|New Statistics Transforming Sports||00:29:00|
|8. Identifying Political Polls - How Weighted Averaging Wins?|
|Identifying Political Polls – How Weighted Averaging Wins?||00:31:00|
|9. When Life Is (Almost) Linear - Regression|
|When Life Is (Almost) Linear – Regression||00:30:00|
|10. How to train Computers to Think like Humans?|
|How to train Computers to Think like Humans?||00:30:00|
|11. Identifying Anomalies and Breaking Trends|
|Identifying Anomalies and Breaking Trends||00:32:00|
|12. Simulation Beyond Data and Equations|
|Simulation Beyond Data and Equations||00:29:00|
|13. Overfitting - Too Good to Be Truly Useful|
|Overfitting – Too Good to Be Truly Useful||00:30:00|
|14. The Math of March Madness - Bracketology|
|The Math of March Madness – Bracketology||00:30:00|
|15. Understanding Quantifying Quality on the World Wide Web|
|Understanding Quantifying Quality on the World Wide Web||00:30:00|
|16. Text and Sentiment Analysis - Watching Words and Data Compression and Recommendation Systems|
|Text and Sentiment Analysis – Watching Words||00:33:00|
|Explore Data Compression and Recommendation Systems||00:32:00|
|17. Learning about Decision Trees - Jump Start an Analysis|
|Learning about Decision Trees – Jump Start an Analysis||00:31:00|
|18. Many Ways to Create Groups - Clustering and Social Networks|
|Many Ways to Create Groups – Clustering||00:31:00|
|Identifying degrees of Separation and Social Networks||00:31:00|
|19. Understanding Challenges of Privacy and Security|
|Understanding Challenges of Privacy and Security||00:32:00|
|20. How to Set the Analytical Foundations for the Future?|
|How to Set the Analytical Foundations for the Future?||00:32:00|