Mastering Data Analysis with Excel
Access Duration - 365 Days
Accredited By "CPD & iAP"
Guided Learning Hours (03)
Course Material
Number of Modules 09
Mock Exam Included
Final Exam Included
4( 2 REVIEWS )
2189 STUDENTS
Accredited By
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.
Learning with Global Edulink has many advantages. The course material is delivered straight to you, and can be adapted to fit in with your lifestyle. It is created by experts within the industry, meaning you are receiving accurate information, which is up-to-date and easy to understand. This course is comprised of professionally narrated e-Learning modules, interactive quizzes, tests and exams. All delivered through a system that you will have access to 24 hours a day, 7 days a week for 365 days (12 months). An effective support service and study materials will build your confidence to secure your qualification.
Please Note: This Course is Based on USA Standards
- Who is it for?
- Course Description
- Method of Assessment
- Certification
- Entry Requirements
- Career Path
This course is ideally suited to those who hope to achieve a Research or Analyst career, or for those who already work in this field and need to certificate or update their skills
This online training course is comprehensive and designed to cover the topics listed under the curriculum.
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.
Upon successful completion of this course learners will be awarded a Level 2 Certificate in Mastering Data Analysis with Excel.
Learners must be 16 or over and should have a basic grasp of English, ICT, literacy and numeracy
Although this course is not a specific job qualification, it will be of immense benefit for you to kick start a successful career in research or analysis. You can also use this course to prove your expertise and eligibility for the various job incentives provided by the organisation. Given below are few of the job positions this course will benefit you in, along with the average UK salary per annum according to https://www.payscale.com/career-path-planner,
- Data Analyst – £25,894 per annum
- Researcher – £23,641 per annum
- Business Analyst – £30,507 per annum
| Common Career Paths For Business Analyst |
|---|
Course Curriculum
| Course Overview | |||
| Course Overview | 00:01:00 | ||
| Explore Time Series Data | |||
| Explore Time Series Data | 00:17:00 | ||
| Basic Concepts of Forecasting | |||
| Basic Concepts of Forecasting | 00:29:00 | ||
| Trendline Basics | |||
| Trendline Basics | 00:29:00 | ||
| Exponential Trend Forecast | |||
| Exponential Trend Forecast | 00:17:00 | ||
| What is Seasonality? | |||
| What is seasonality? | 00:28:00 | ||
| Multiple Linear Regression | |||
| Multiple Linear Regression | 01:01:00 | ||
| Conclusion | |||
| Conclusion | 00:01:00 | ||
| Exercise Files -Mastering Data Analysis With Excel | |||
| Exercise Files -Mastering Data Analysis with Excel | |||
| Mock Exam | |||
| Mock Exam-Mastering Data Analysis with Excel | 00:40:00 | ||
| Final Exam | |||
| Exam : Mastering Data Analysis with Excel | 00:40:00 | ||
| Certificate Download Guide | |||
| Certificate Download Guide | 00:03:00 | ||
Asim Saleemi
Nice course.
Chong Wan
I gained better understanding on how Excel can support with data analysis and all I need is more practice.