Today, data analysis is an essential tool that helps companies, business owners, and even individuals to make better decisions in many areas of our practical life. Microsoft Excel enables us to master data analysis and creativity in it using simple and learnable equations if taught by experts As in CLS, where (Microsoft Excel) is one of the best tools for data analysis, we can say that the equations it contains are the most common analytical tool in the world.
Course Content
The Data Analysis Excel course offered through CLS covers a wide range of topics, including:
- How to deal professionally with (Add-Ins)
- Activating the (Power Query) tool
- Using the (Goal Seek) tool
- Dealing with the (Data Table) and (Scenario Manager)
- Starting to use the Solver tool to manage inventory, production, and other tasks
Important Excel Equations for Data Analysis
We’re going to show you some of the important Microsoft Excel equations that CLS trainees learn that will help you become a professional data analyst:
LEN Function
This function primarily supports the identification of different types of product stock-keeping units (SKUs) and is useful for trying differences between different unique identifiers (UIDs), which are often long and not in the correct order.
CONCATENATE formula
The CONCATENATE formula is one of the easiest to learn and the most powerful if you use it to perform excel statistical analysis. With it, you can combine text, numbers, dates, and more from multiple cells into a single cell. You can also create API endpoints. Product SKUs, Java queries, etc.
COUNTA function
This function is very important for the data analyst as it enables him to evaluate and identify any deficiencies that may exist in the data set under analysis without having to reorganize it again.
DAYS/NETWORKDAYS function
This function determines the number of calendar days between two dates, and it is particularly useful in evaluating the life cycle of products, contracts, and estimating operating revenues.
SUMIFS formula
The =SUMIFS formula is similar to the popular =SUM formula but has the advantage that values can be summed based on multiple criteria.
VLOOKUP function
(=VLOOKUP) is one of the most useful data analysis functions in Excel, as it is needed by an advanced data analyst to pair data.
SUMPRODUCT FORMULA
(=SUMPRODUCT) is one of the important formulas in the Microsoft Excel package, with which the average returns on investment, price points, margins, etc. are calculated.
Data Analysis Excel Frequency
It is important to know that the FREQUENCY function is very helpful in calculating the frequency of a data value within a specified range of values. It also provides a vertical array of numbers that correspond to the frequency of each value within the range.
Data Analysis Excel Financial
You can do the financial analysis with Excel in an easy way via many financial functions such as PMT, PV, NPV, XNPV, IRR, MIRR, XIRR, and many more functions that allow you to quickly access the results of the financial analysis.
In the Data analysis excel course from CLS, you will learn where and how you can use these important functions for your analysis.
Data Analysis Excel Python
Almost four decades after it was introduced to the rapidly changing world of technology, data analysts around the world still rely heavily on Microsoft Excel, and it remains the primary data analysis tool used most often in the financial sector to organize and analyze large amounts of data.
Excel has been developed and updated recently, which means it has more business-friendly features.
According to many statistics, the most recent of which is analysis for Microsoft Excel, there are 1.2 billion people who own Excel, and nearly two-thirds of them are active in using it. In contrast, it is estimated that the number of people using Python is around 8.2 million with a steady increase.
Data Analysis Excel PPT
“Data analysis Excel ppt” refers to the use of Microsoft Excel and Microsoft PowerPoint as tools for analyzing and presenting data. It also includes various processes such as data analysis, the process of examining, cleaning, transforming, and modeling data with the aim of discovering useful information, drawing conclusions, and supporting decision-making.
Together, Excel and PowerPoint form a powerful set of tools that can be used to perform data analysis and communicate results effectively.
Useful Exercises for the Data Analysis Excel Course
The most useful exercises for the Data Analysis Excel course offered through CLS depend on the student’s level of proficiency and the goals set for the course. But in general, we can say that the course includes some of the following exercises:
- Create pivot tables
- Data cleaning
- Statistical analysis
- Data Visualization
- Building Financial Models
