Excel Training in Natal

This instructor-led, live training in Natal (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.

Excel is a popular spreadsheet program created by Microsoft. It is 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.

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 Natal (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.

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 Natal (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.

This instructor-led, live training in Natal (online or onsite) is aimed at data scientists who wish to use Excel for data mining.

• By the end of this training, participants will be able to:
• Explore data with Excel to perform data mining and analysis.
• Use Microsoft algorithms for data mining.
• Understand concepts in Excel data mining.

In this instructor-led, live training in Natal (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.

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?

This instructor-led, live training in Natal (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.