Mastering Big Data.

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 mindset 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 online big data analytics course will help you to mastering your big data analysis skills and find a career in data analytics. 

Who is it for?

• This course is suitable for any one who wants to gain the knowledge and skills in big data analysis. However, the course is ideal for Data Analysts, IT professionals, Business analysts, and other technical professionals.

Entry Requirements

• No entry requirements though it may be useful to have a general technical background.
• 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

Course Curriculum

1. An Overview Of Data And Analytics
2. Mastering The Data Deluge
3. Studying Patterns And Causes
4. Complex Algorithms And Data Management
5. A Study Of Graphics And Data
6. How To Prepare Data For Success?
7. New Statistics Transforming Sports
8. Identifying Political Polls - How Weighted Averaging Wins?
9. When Life Is (Almost) Linear - Regression
10. Can Computers Think Like Humans?
11. Identifying Anomalies And Breaking Trends
12. Simulation Beyond Data And Equations
13. Overfitting - Too Good To Be Truly Useful
14. The Math Of March Madness - Bracketology
15. Understanding Quantifying Quality On The World Wide Web
16. Text And Sentiment Analysis
17. Decision Trees – Jump Start Analysis
18. Clustering And Social Networks
19. Privacy And Security
20. Analytical Foundations For The Future

Method of Assessment

At the end of the course learners will take an online multiple choice question assessment test. This online multiple choice question test is marked automatically so you will receive an instant grade and know whether you have passed the course.CertificationSuccessful candidates will be awarded an CPD accredited certificate in Mastering Big Data.Career PathThis course would benefit the following career opportunities:

• Senior Business Analyst, Data Governance
• Experimentation and Web Analytics Analyst
• Strategic Analytics Manager
• Business Science Data Planner
• Digital Analyst
• Business Intelligence Engineer
• Data Analyst 
• Big Data Analyst  

According Payscale.com (2018), following average salary figures are available in the UK job market for relevant job titles: 

• An Analytics Manager earns an average salary of £47,478 per year. 
• A Digital Analyst earns an average salary of £30,015 per year.
• A Data Analyst earns an average salary of £25,511 per year. 
• The average salary for a Senior Data Analyst is £36,191 per year
• The average pay for a Business Analyst, IT is £35,543 per year.

Common Career Paths For Data Analyst