Kursantet per data analysis duhet te kene ndjekur trajnimet per nivelet fillestare,mesatare dhe te avancuar. Nese jane trajnuar me perpara keto nivele atehere ata do te testohen perpara fillimit te kursit per data analysis. Kjo do te ndikoj ne oret e programura te domosdoshme per zhvillimin e trajnimit.
KURSET PER DATA ANALYSIS
FILLOJNE NE JANAR 2021
1 Sort: You can sort your Excel data on one column or multiple columns. You can sort in ascending or descending order.
2 Filter: Filter your Excel data if you only want to display records that meet certain criteria.
3 Conditional Formatting: Conditional formatting in Excel enables you to highlight cells with a certain color, depending on the cell’s value.
4 Charts: A simple Excel chart can say more than a sheet full of numbers. As you’ll see, creating charts is very easy.
5 Pivot Tables: Pivot tables are one of Excel’s most powerful features. A pivot table allows you to extract the significance from a large, detailed data set.
6 Tables: Tables allow you to analyze your data in Excel quickly and easily.
7 What-If Analysis: What-If Analysis in Excel allows you to try out different values (scenarios) for formulas.
8 Solver: Excel includes a tool called solver that uses techniques from the operations research to find optimal solutions for all kind of decision problems.
9 Analysis ToolPak: The Analysis ToolPak is an Excel add-in program that provides data analysis tools for financial, statistical and engineering data analysis.
10.VLOOKUP is one of the most useful and recognizable data analysis functions. As an Excel user, you’ll probably need to “marry” data together at some point. For example, accounts receivable might know how much each product costs, but the shipping department can only provide units shipped. This is the perfect use case for VLOOKUP.
11.UMPRODUCT is an excellent function to calculate average returns, price points, and margins. SUMPRODUCT multiples one range of values by its corresponding row counterparts. It’s data analysis gold. In the example below, we calculate the average selling price of all our products by using sumproduct to times Price by Quantity and then divide by the total volume sold.