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£9.99
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Data Analysis In Excel
By Janets
(160)- 30 Day Money Back Guarantee
- Completion Certificate
- 24/7 Technical Support
Highlights
On-Demand course
3 weeks
All levels
Description
From business to research, having a solid grasp of Excel Data analysis can open doors of opportunity in various industries. Learn this valuable skill set from the comfort of your home with the Data Analysis In Excel course. This course will introduce you to the ins and outs of Excel data analysis.
This Data Analysis In Excel course will help you establish a solid foundation in Excel data analysis. This course will help you pick up the skills to visualise data with charts in Excel. Here, you will also learn about Pivot Tables and Charts. Furthermore, the course will teach you how to work with multiple Workbooks. In addition, you will learn about Lookup factions and how to use them. By the end of this course, you will know the essentials of automating Workbook functionality.
This course will assist you in securing effective data analysis skills. In addition, you will receive a QLS-endorsed certificate of achievement. This certificate will enhance your employability in the relevant job market. Join now!
Learning Outcomes
Understand the basic principles of data analysis with Excel
Learn how to visualise data with Excel charts
Build your expertise in using Pivot Tables and Charts
Grasp the techniques of working with multiple Worksheets and Workbooks
Know the process of automating Workbook functionality
Certificate of Achievement
Endorsed Certificate of Achievement from the Quality Licence Scheme
Upon successful completion of the final assessment, you will be eligible to apply for the Quality Licence Scheme Endorsed Certificate of achievement. This certificate will be delivered to your doorstep through the post for £99. An extra £10 postage charge will be required for students leaving overseas.
CPD Accredited Certificate
After the successful completion of the final assessment, you will receive a CPD-accredited certificate of achievement. The PDF certificate is for 9.99, and it will be sent to you immediately after through e-mail. You can get the hard copy for 15.99, which will reach your doorsteps by post.
Method of Assessment
At the end of the course, there will be an MCQ assessment. In order to pass this exam, you must score at least 60%. When you submit the assessment, it will be examined, and the results will be given to you immediately.
Career path
This course is designed to help you extant your knowledge and understanding of this sector. After completing the course, you will be able to explore career options such as
Data Analyst
Research Assistant
Researcher
Business Analyst
Frequently Asked Questions
How do I do data analysis in Excel?
To do data analysis in Excel, you start by organizing your data in a structured format (tables or spreadsheets). Then, you can use various Excel tools and features like sorting, filtering, pivot tables, charts, and formulas to analyze the data. You can also use the Data Analysis Toolpak for more advanced analysis.
Which tool is used for data analysis in Excel?
The primary tools for data analysis in Excel include PivotTables, PivotCharts, Data Analysis Toolpak, conditional formatting, and various formulas and functions such as VLOOKUP, HLOOKUP, INDEX, MATCH, and statistical functions.
How to do a data analysis?
To perform data analysis, follow these steps: (1) Define your objectives, (2) Collect and organize your data, (3) Clean the data by removing errors and inconsistencies, (4) Analyze the data using Excel tools (e.g., PivotTables, charts, functions), (5) Interpret the results, and (6) Present your findings using visualizations and summaries.
What is an example of data analysis?
An example of data analysis in Excel could be analyzing sales data to determine trends and patterns. You can use PivotTables to summarize sales by region, product, and time period, and create charts to visualize trends and identify which products or regions are performing best.
What are the 7 steps of data analysis?
The 7 steps of data analysis are: (1) Define the question or problem, (2) Collect data, (3) Clean the data, (4) Explore and analyze the data, (5) Interpret the results, (6) Communicate the findings, and (7) Take action based on the insights.
What are the 3 most common data analysis?
The three most common types of data analysis are descriptive analysis (summarizing and describing data), inferential analysis (drawing conclusions and making predictions based on data), and diagnostic analysis (understanding the reasons behind past outcomes).
Is data analysis easy?
Data analysis can range from simple to complex depending on the data set and the analysis required. Basic data analysis, such as summarizing data and creating charts, can be relatively easy to learn. However, advanced data analysis techniques may require more expertise and experience.
How can I teach myself data analysis?
You can teach yourself data analysis by: (1) Enrolling in online courses and tutorials, (2) Practicing with sample data sets in Excel, (3) Reading books and articles on data analysis, (4) Joining data analysis forums and communities, and (5) Using online resources like YouTube and educational websites.
Is Excel a good data analysis tool?
Yes, Excel is a versatile and widely-used tool for data analysis, especially for small to medium-sized data sets. It offers a range of functions, tools, and add-ons that facilitate data manipulation, analysis, and visualization.
How to organize data in Excel for analysis?
To organize data in Excel for analysis, follow these steps: (1) Structure your data in a table format with clear headers, (2) Ensure data consistency by using the same format for similar data points, (3) Remove duplicates and correct any errors, (4) Use named ranges for better data management, and (5) Use sorting and filtering to organize and view specific data subsets.
About The Provider
Janets
London
(160)Janets is an online platform where learners come to learn, and evolve. From the very beginning, the aim of this platform was to create an ever-growing community of avid learners instead of just delivering formulaic education. Emphasising on making the learners equipped for the fu...
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