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Training Course: Data Analysis using Excel


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IT234779

11 - 15 Nov 2024

London (UK)

Hotel : Landmark Office Space - Oxford Street

Cost : 5775 € Euro

Introduction

This data analysis training program will enhance your ability to analyze big data and professionally visualize results. Expand your skills and knowledge to build a sophisticated spreadsheet, use What-If analyses, manipulate PivotTables, apply functions, and use the advanced features of Excel to make and present better business decisions.

In this data analysis using excel training course, you will use advanced Excel techniques to build sophisticated spreadsheets. You learn to perform "what if" analyses, leverage features and apply functions, manipulate PivotTables to analyze large amounts of data, and present your results to make better business decisions for planning and budgeting. You also learn how to automate processes and enhance worksheet models.

Course Objectives

This course will focus in:

  • Leverage features of Microsoft Excel to facilitate business decisions
  • Develop intelligent worksheets to quickly identify KPIs
  • Perform "what-if" analyses for developing budget and project plans
  • Summarize and analyze large amounts of data using PivotTables and Excel features
  • Automate Excel processes
  • Continue learning and face new challenges with after-course one-on-one instructor coaching

Prerequisites

Experience with Excel fundamentals at the level of Introduction to Microsoft Excel.

This course applies to all versions of Excel. However, there are references to dynamic array functions that are only available in Excel 365 and Excel 2021 and later.

Course Outlines

Troubleshooting and Enhancing Professional Workbooks

  • Deciphering and correcting functions for data integrity
  • Accurately interpreting calculations
  • Implementing Names to enhance your workbook model
  • Monitoring KPIs using conditional formatting

Analyzing Data with Functions

  • Summarizing business data with functions
  • Identifying the correct statistical function to aid analysis
  • Applying basic financial functions
  • Differentiating serial dates and date presentations
  • Calculating the number of working days

Controlling calculations and nested formulas

  • Interpreting data variations with the IF function
  • Streamlining calculations with referencing
  • Developing nested functions for multiple conditions
  • Capturing information with lookup functions
  • Applying techniques to implement and troubleshoot nested calculations

Optimizing Workbook Models with "What-If" Analysis

Planning for contingencies

  • Managing variables in worksheets with Scenarios
  • Comparing and contrasting different data sets with Scenarios reports

Quantifying variables in a workbook model

  • Determining the magnitude of a variable with Goal Seek to achieve an end value
  • Calculating the optimum variable values in a worksheet model with Solver

Summarizing Business Information

Organizing workbooks and links

  • Arranging multiple workbooks with Workspaces
  • Managing external links

Consolidating ranges

  • Building 3D formulas to analyze worksheet data
  • Summarizing multiple sources of Excel information into one worksheet

Formulating Decisions from Database Information

Distilling data sets for data analysis

  • Defining the architecture of an Excel data set
  • Managing multiple data sets on a single worksheet with the Table feature
  • Extracting unique lists of records from an Excel data set with the Advanced Filter
  • Analyzing data sets with filters and aggregation

Interpreting and refining data with PivotTables

  • Defining data summaries interactively
  • Summarizing data sets with grouping and aggregation
  • Comparing related totals dynamically

Visualizing and exploring PivotTable reports

  • Filtering details with Report Filters and Slicers
  • Presenting PivotTable reports effectively with Pivot Charts
  • Examining data patterns with Sparklines

Enhancing Excel Usage with Macros

Automating repetitive tasks

  • Simplifying complex tasks and reducing errors
  • Bulletproofing routine editing and formatting
  • Invoking macros with Form controls

IT manager

Training Course: Data Analysis using Excel


Register Now
Quick Inquiry
Discount Group Download Brochure (8)

IT234779

11 - 15 Nov 2024

London (UK) - Landmark Office Space - Oxford Street

Hotel : Landmark Office Space - Oxford Street

Cost: 5775 € Euro


  About London

The UK capital of London is a city that combines the old and the new. It is as equally famous for the latest fashion and innovation as it is for its impressive heritage. London's attractions range from the Royal Palace to the DIY atmosphere of its markets. It is also a picturesque city of parks and of course, the majestic Thames River. The city extends for miles beyond its ancient core and each neighborhood has its own charming atmosphere for visitors to explore. London also wears its status as a world city proudly and the influence of different cultures is plain to see in the food and fashion of the capital.


  Things to do and places to visit in London

With so many attractions in London, anyone can find something to delight them. Art lovers will enjoy the world-renowned museums and galleries, most of which are free. Sports fans are spoilt for choice by the city's array of football clubs. Theatre and music fans have a vast list of venues to visit, whilst shopaholics have Harrods, Oxford Street, Camden and much more to look forward to after arranging flights to London.

Some unmissable London attractions include:

  • Seeing priceless masterpieces in the Tate Britain or the National Gallery.
  • Watching the changing of the guard at Buckingham Palace.
  • Visiting Trafalgar Square's famous monument.
  • Marveling at the Crown Jewels in the Tower of London.
  • Getting a bird's eye view of the city from the London Eye.
  • Tasting one of Brick Lane's famous curries.
  • Browsing the exclusive shops of Knightsbridge.
  • Visiting a market – Spitalfields for antiques, Camden for clothes or Borough Market for street food.
  • Admiring design from around the world in the Victoria and Albert Museum.
  • Looking for clues at the home of fiction's most famous detective, Sherlock Holmes.
  • Strolling through one of the lovely parks, including Hyde Park, St James' Park or Kew Gardens.
  • Eating Britain's most famous dish, fish and chips.
  • Watching the street performers in Covent Garden.
  • Enjoying the views at a South Bank cafe.
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