Data Analysis in Microsoft Excel Complete Training

Description

We live in an era where data, data and data surround us. You need to share something one way or another to use most of the services around you; just name it. Whether it is about reading a blog post, visiting a website, surveying for a service, seeing any social media post, or looking for offers, you must share some data, if not anything, and your email, at least.But do you ever realise why, in all these situations, you need to share your data? Because your data is oxygen in this world. Companies want to know what you are thinking or what you are about to do before you even think or are about to do it. Sounds crazy, right? Don't be.It is a new branch of knowledge and profession. A data analyst gathers, cleans, and evaluates data sets to find an explanation or resolve an issue. The most common tool for doing these is Microsoft Excel. Our Data Analysis in Microsoft Excel Complete Training course will prepare you to use Microsft Excel in data analysis.

You may have to take a quiz or a written test online during or after the course. After successfully completing the course, you will be eligible for the certificate.

There is no experience or previous qualifications required for enrolment on this Data Analysis in Microsoft Excel Complete Training. It is available to all students, of all academic backgrounds.

Our Data Analysis in Microsoft Excel Complete Training is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible on tablets and smartphones so you can access your course on wifi, 3G or 4G.There is no time limit for completing this course, it can be studied in your own time at your own pace.

Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management , Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc.

11 sections • 31 lectures • 04:46:00 total length

•Insert, Delete, and Adjust Cells, Columns, and Rows: 00:10:00

•Search for and Replace Data: 00:09:00

•Use Proofing and Research Tools: 00:07:00

•Sort Data: 00:10:00

•Filter Data: 00:10:00

•Query Data with Database Functions: 00:09:00

•Outline and Subtotal Data: 00:09:00

•Apply Intermediate Conditional Formatting: 00:07:00

•Apply Advanced Conditional Formatting: 00:05:00

•Create Charts: 00:13:00

•Modify and Format Charts: 00:12:00

•Use Advanced Chart Features: 00:12:00

•Create a PivotTable: 00:13:00

•Analyze PivotTable Data: 00:12:00

•Present Data with PivotCharts: 00:07:00

•Filter Data by Using Timelines and Slicers: 00:11:00

•Use Links and External References: 00:12:00

•Use 3-D References: 00:06:00

•Consolidate Data: 00:10:00

•Use Lookup Functions: 00:12:00

•Trace Cells: 00:05:00

•Watch and Evaluate Formulas: 00:10:00

•Apply Data Validation: 00:13:00

•Search for Invalid Data and Formulas with Errors: 00:04:00

•Work with Macros: 00:18:00

•Create Sparklines: 00:07:00

•MapData: 00:07:00

•Determine Potential Outcomes Using Data Tables: 00:08:00

•Determine Potential Outcomes Using Scenarios: 00:09:00

•Use the Goal Seek Feature: 00:04:00

•Forecasting Data Trends: 00:05:00