Online
Mastering Data Analysis with Excel
  • Duration / Course length: Upto 3 Hours Start now
  • Accredited by: CPDiAP
  • Certificates:
  • Course delivery: This course is delivered in video format

Course details

Did you know that you can use Excel for data analysis?

Especially if you know how to get the most out of Microsoft Excel, which is exactly what this course will teach you! Whether you’re a Researcher or work in Data Analysis this course is a great opportunity and can help you master Excel. The ability to analyse data is a powerful and useful skill, and Excel is the best tool for this. Learn to use the advanced features of Excel to measure exponential growth, understand forecasting and become an expert user of tread lines. Whether you have experience with Excel or not, this course provides a full introduction and will help you to build knowledge at your own pace.
 
This online training course is comprehensive and designed to cover the topics listed under the curriculum.

COURSE CURRICULUM
  1. Course overview
  2. Explore time series data
  3. Basic concepts of forecasting
  4. Trendline basics
  5. Exponential trend forecast
  6. What is seasonality?
  7. Multiple linear regression
  8. Conclusion
Method of Assessment:

At the end of the course learners will also take an online multiple-choice questions assessment test. This online multiple choice questions test is marked automatically so you will receive an instant grade and know whether you have passed the course.

Certification:

Upon successful completion of this course learners will be awarded a Certificate in Mastering Data Analysis with Excel.

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.
 
  Ultima actualização em  25 March, 2024

Eligibility / Requirements

  • Learners must be 16 or over and should have a basic grasp of English, ICT, literacy and numeracy.

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