Excel Data Analysis Training Course

The course participants will be able to efficiently perform a variety of calculations in a transparent way to arrange and present their results, use multiple mechanisms to facilitate and accelerate the creation of spreadsheets, as well as protect the calculations and their results against unauthorized persons

Participants will be able to excel themselves, in the most optimal way to create, consolidate and manage data. A number of tools designed to streamline the work often significantly reduces the time to activities carried out so far and can help you design an application that could perform new tasks.

Course is intended for those familiar the basics of VBA who want to develop their knowledge and greater use of language capabilities.

Training for those working with a Microsoft Excel spreadsheet that would like to improve their work.

The course is designed for users of Excel for creating analyzes and reports.

Please answer the following questions:

• Is your daily work in Excel is a never-ending string of commands copy-paste?
• Are you wasting time on repetition of similar operations to prepare the data for analysis?
• Do you know all the keyboard shortcuts in Excel, but you are not satisfied with the results?
• Rather than deal with data analysis and preparation of wasting time?
• Do you have to manually verify the correctness of such data obtained from different systems?
• Do you have to stay at work after hours or Excel to take books home because not doing during the day?
• Is Your job is to prepare reports based on a large data set?
• Do you feel that working in Excel, you come to a roundabout way of results?

If you can answer YES to one of the questions then it's time stop this nightmare. This training is for you.

Find out how you can speed up your daily operations and get most out of MS Excel.

WARNING

After the training, your life will change dramatically. Activities, which occupied the whole day will take just a few moments. Are you ready for this?

Excel is a popular spreadsheet program created by Microsoft. Jest used to store, organize and analyze data in tabular form. Here are some key features and functions of Excel: 1. Spreadsheets: It consists of sheets, where each sheet is an array consisting of cells arranged in rows and columns. It allows you to create multiple sheets in one file, which allows you to organize different data sets. 2. Calculations and Formulas: Allows you to perform a variety of mathematical, statistical and logical calculations using formulas. It has a wide set of built-in functions such as SUM, AVERAGE, MAX, MIN, IF, VLOOKUP, etc. 3. Data Formatting and Appearance: Provides tools for formatting data, including changing font, color, style, and creating charts, pivot tables and diagrams. 4. Sorting, Filtering and Grouping: Allows you to sort data according to specific criteria. Allows you to filter data to display only selected information. Possibility to group data depending on needs. 5. Data analysis: Tools for performing advanced analyzes such as scenario analysis, trends, forecasting, and creating macros. 6. Data Sharing: Enables real-time data sharing and collaboration, allowing multiple users to work on the same data simultaneously. 7. Task automation: Ability to create macros and automate tasks using the programming language VBA (Visual Basic for Applications). Excel is widely used in various fields, from business to science and education. Its comprehensive features enable data analysis, creation of reports, budgets, schedules, data management and many other applications.

The course participants will be able to efficiently use primarily data analysis tools such as scenarios and pivot tables, use the features to perform calculations on dates and text-processing functions, and create and adapt to the needs of macros to automate work with spreadsheets.

Audience

Financial or market analysts, managers, accountants

Course Objectives

Facilitate and automate all kinds of financial analysis with Microsoft Excel

During the training, will present the issues of financial analysis using the advanced features of Excel.

This course is intended for financial analysts, accountants and all those who want to expand their skills spreadsheet with issues of financial analysis.

Audience

Analysts, researchers, scientists, graduates and students and anyone who is interested in learning how to facilitate statistical analysis in Microsoft Excel.

Course Objectives

This course will help improve your familiarity with Excel and statistics and as a result increase the effectiveness and efficiency of your work or research.

This course describes how to use the Analysis ToolPack in Microsoft Excel, statistical functions and how to perform basic statistical procedures. It will explain what Excel limitation are and how to overcome them.

This instructor-led, live training in Austria (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

• Record and edit macros as required.
• Write procedures using data from the sheet.
• Create your own functions.
• Handle an event (opening worksheet cell update etc.) by means of the handler.
• Create a form.

The objective of the course is to enable participants to gain a mastery of the fundamentals and usages of VBA for Access & Excel.

This instructor-led, live training in Austria (online or onsite) is aimed at data analysts who wish to use VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

• Record and edit macros as required.
• Write procedures using data from the sheet.
• Create your own functions.
• Handle an event (opening worksheet cell update etc.) by means of the handler.
• Create a form.

This instructor-led, live training in Austria (online or onsite) is aimed at data analysts who wish to use advanced VBA in Excel for automating tasks.

By the end of this training, participants will be able to:

• Write an advanced object-oriented application
• Convert text files
• Use of external data sources
• Use external libraries