Final Exam: Business Analyst


Overview/Description
Expected Duration
Lesson Objectives
Course Number
Expertise Level



Overview/Description

Final Exam: Business Analyst will test your knowledge and application of the topics presented throughout the Business Analyst track of the Skillsoft Aspire Business Analyst to Data Analyst Journey.



Expected Duration (hours)
0.0

Lesson Objectives

Final Exam: Business Analyst

  • analyze data use the Subtotal feature from the Data menu
  • and create pivot tables by attempting to link multiple such tables
  • apply custom formatting to first and last points
  • apply workbook-level protection options such as open in read-only mode, encrypting with the password, add a digital signature, and marking as final
  • Auto-detect relationships between different relations use the PivotTable feature
  • bin data by category, by bin width, or by specifying a fixed number of bins
  • combine multiple visualizations into a single chart using the combo chart type
  • combine the Print and Page Layout menu features to precisely control how workbooks are printed
  • configuring AutoSave and AutoRecover behavior and the default save location
  • construct at-a-glance visualizations use Sparklines to construct lightweight charts without axes or units contained within individual cells
  • contrast Comments and Notes in Excel
  • Copy-paste data and use the Format Cells right-click menu option to customize
  • Correctly utilize absolute and relative cell references in worksheet formulae
  • create links to external workbooks use the Paste Link option from the Paste menu
  • create new formatting rules and varying both conditions governed by the rule as well as precise formatting aspects
  • customize headers and footers
  • customize that ribbon by creating a new ribbon tab
  • customize the quick-access toolbar
  • edit external links use the Data menu
  • Efficiently and quickly perform simple statistical analysis of two-dimensional data
  • enable Analysis ToolPak
  • enable Analysis ToolPak and use it to compute correlation as well as covariance matrices
  • enable the powerful Solver add-in
  • export workbooks to formats such as PDF/XPS
  • generate random numbers drawn from various distributions use Analysis ToolPak
  • identify the capabilities and limitations of the Auto Outline feature
  • implement ANOVA (Analysis of Variance) use Analysis ToolPak to analyze variances
  • implement ANOVA (Analysis of Variance) use Analysis ToolPak to analyze variances within groups and between groups
  • implement common data-cleaning operations such as the elimination of duplicates via the Data menu
  • implement hypothesis testing
  • Insert and delete rows and columns
  • insert charts and customize Chart Elements such as the axes, title, data labels, data callouts, and gridlines
  • introduce Excel Data Tables and understand the #SPILL! Error
  • introduce the use of worksheet formulas and the semantics of copy-pasting formulas with relative cell references
  • Launch Microsoft Excel, explore available templates, and customize the quick-access toolbar
  • open comma- and tab-delimited text files use the Data Import menu item
  • perform conditional analysis use the worksheet IF() function
  • perform univariate EDA (exploratory data analysis) use box-and-whisker plots
  • recognize different charts
  • recognize the pitfalls of create such pivot tables without accurately capturing relationships between relations
  • recognize the role of PowerPivot in analytical Big Data processing
  • specify Data Validation constraints to prevent typos and reduce the need for data cleaning
  • understand the pitfalls of create such pivot tables without accurately capturing relationships between relations
  • understand the role of PowerPivot in making Excel a powerful tool for analytical Big Data processing
  • use built-in templates and saving a commonly-used workbook as an Excel Template (.xltx) file
  • use conditional aggregate functions such as COUNTIF() and COUNTIFS() to perform aggregate operations based on specific conditions
  • use Excel's powerful functionality for filling in blank/missing values use the Find & Select menu option and the Go To Special feature
  • use Goal Seek for solving
  • use keyboard shortcuts to insert line breaks inside a cell
  • use scatter plots to examine relationships between two numeric data column
  • use the Chart Design item from the toolbar ribbon to quickly change chart layout and color
  • use the Conditional Formatting menu item to highlight cells based on rules
  • use the Filter feature from the Data menu to focus on specific subsets of data
  • use the INDEX() and MATCH() functions to perform two-dimensional lookups
  • use the logical OR function to construct a boolean predicate that can be used to highlight weekends in a range of dates
  • use the Protect Sheet feature from the Review menu to control how a sheet can be edited
  • use the ROW() function to alter highlighting based on cell location
  • utilize the powerful and popular VLOOKUP() and HLOOKUP() functions for one-dimensional lookups that join ranges of data based on a common column
  • utilize the What-If Analysis feature in Excel
  • visualize foreign-key relationships use entity-relationship diagrams in PowerPivot
  • Course Number:
    it_febada_01_enus

    Expertise Level
    Beginner