Excel 2016 - Level 1 Training Course

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.

Microsoft Excel is a powerful spreadsheet application used for organizing, analyzing, and visualizing data.

This instructor-led, live training (online or onsite) is aimed at beginner-level data analysts who wish to use Excel for data analysis and reporting.

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

• Create and manage spreadsheets in Excel.
• Format and organize data for clarity and efficiency.
• Use formulas and functions to automate calculations.
• Visualize data using charts, tables, and conditional formatting.
• Collaborate and share workbooks securely in Microsoft 365.

Format of the Course

• Interactive lecture and discussion.
• Lots of exercises and practice.
• Hands-on implementation in a live-lab environment.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

This instructor-led, live training in Canada (online or onsite) is aimed at beginner-level to intermediate-level business analysts and data analysts who wish to use Excel to perform data analysis and reporting for their projects and tasks.

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

• Use Excel formulas and functions to perform calculations and data manipulation.
• Use Excel data analysis tools such as PivotTables, What-If Analysis, and Forecasting to summarize and visualize data.
• Use Excel charts and graphs to create and customize data visualizations.
• Use Excel data validation and conditional formatting to ensure data quality and highlight data insights.
• Use Excel data import and export features to connect to external data sources and share data with others.

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.

This instructor-led, live training in Canada (online or onsite) is aimed at data analysts or anyone who wishes to learn how to use Excel for creating data models for data analysis.

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

• Learn to analyze and solve any business problems using structured problem-solving tools.
• Navigate Excel tools with ease.
• Set up, format, and present data effectively.
• Understand the logical structure and apply correct functions to Excel models.

This instructor-led, live training in Canada (online or onsite) is aimed at data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI.

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

• Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
• Use DAX formulas in Power BI for complex calculations.
• Create and use visualizations and charts for particular analysis cases.
• Import with Power View to move from Excel based Power BI to independent Power BI.

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 Canada (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 course builds upon the foundational and intermediate knowledge presented in the Microsoft® Office Excel® Basic and Microsoft® Office Excel® Intermediate courses to help you get the most of your Excel experience. The ability to collaborate with colleagues, automate complex or repetitive tasks, and use conditional logic to construct and apply elaborate formulas and functions will put the full power of Excel right at your fingertips. The more you learn about how to get Excel to do the hard work for you, the more you'll be able to focus on getting the answers you need from the vast amounts of data your organization generates.

Learning Objectives

Upon successful completion of this course, you will be able to perform advanced data analysis, collaborate on workbooks with other users, and automate workbook functionality.

• You will:
• Work with multiple worksheets and workbooks.
• Share and protect workbooks.
• Automate workbook functionality.
• Use Lookup functions and formula auditing.
• Forecast data.
• Create sparklines and map data.

This course aims to provide you with a foundation for Excel knowledge and skills, which you can build upon to eventually become an expert in data manipulation. Excel can help you organize, calculate, analyze, revise, update, and present your data in ways that will help the decision makers in your organization steer you in the right direction. It will also make these tasks much easier for you to accomplish, and in much less time, than if you used traditional pen-and-paper methods or non-specialized software.

Learning Objectives

Upon successful completion of this course, you will be able to create and develop Excel worksheets and workbooks in order to work with and analyze the data that is critical to the success of your organization.

• You will:
• Get started with Microsoft Office Excel 2019.
• Perform calculations.
• Modify a worksheet.
• Format a worksheet.
• Print workbooks.
• Manage workbooks.

This course builds upon the foundational knowledge presented in the Microsoft® Office Excel® 2019: Part 1 course and will help start you down the road to creating advanced workbooks and worksheets that can help deepen your understanding of organizational intelligence. The ability to analyze massive amounts of data, extract actionable information from it, and present that information to decision makers is at the foundation of a successful organization that is able to compete at a high level.

Learning Objectives

Upon successful completion of this course, you will be able to leverage the power of data analysis and presentation in order to make informed, intelligent organizational decisions.

You will:

• Work with functions.
• Work with lists.
• Analyze data.
• Visualize data with charts.
• Use PivotTables and PivotCharts.

In this instructor-led, live training in Canada (onsite or remote), participants will learn how to combine the capabilities of Python and Excel.

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

• Install and configure packages for integrating Python and Excel.
• Read, write, and manipulate Excel files using Python.
• Call Python functions from Excel.

This instructor-led, live training in Canada (online or onsite) is aimed at data analysts who wish to program in R for Excel.

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

• Toggle and move data between Excel and R.
• Use R Tidyverse and R features for data analytic solutions in Excel.
• Extend their data analytical skills by learning R.