Excel Data Analysis Training Course

This live, instructor-led training in Latvia (online or onsite) targets entry-level analysts who aim to use Excel VBA to automate repetitive work, transform and clean data, and enhance reporting processes.

Upon completion, participants will be able to: record and edit macros, author simple VBA procedures, interact with Excel objects for reporting, and debug fundamental automation solutions.

Excel is a popular spreadsheet application developed by Microsoft. It is widely used for storing, organizing, and analyzing data in a tabular format. Below are some of its key features and capabilities: 1. Spreadsheets: It consists of worksheets, where each worksheet is a grid of cells arranged in rows and columns. Users can create multiple worksheets within a single file, allowing for the organization of various datasets. 2. Calculations and Formulas: It enables the performance of diverse mathematical, statistical, and logical calculations using formulas. The software includes a wide range of built-in functions, such as SUM, AVERAGE, MAX, MIN, IF, VLOOKUP, and others. 3. Formatting and Data Presentation: It provides tools for formatting data, including changes to fonts, colours, styles, as well as the creation of charts, pivot tables, and diagrams. 4. Sorting, Filtering, and Grouping: It allows data to be sorted according to specific criteria. Data can be filtered to display only selected information. Data can be grouped as needed to improve readability and analysis. 5. Data Analysis: It offers tools for advanced analysis, such as scenario analysis, trend analysis, forecasting, and the creation of macros. 6. Data Sharing: It facilitates real-time data sharing and collaboration, enabling multiple users to work on the same data simultaneously. 7. Task Automation: It allows for the creation of macros and automation of tasks using the VBA (Visual Basic for Applications) programming language. Excel is widely applied across various fields, from business to science and education. Its versatile features enable data analysis, report generation, budgeting, scheduling, data management, and many other applications.

This instructor-led live training, offered in Latvia (online or onsite), caters to beginner through advanced-level data analysts seeking to utilize Excel for a wide array of tasks, including data entry, formula creation, data analysis, and advanced automation.

By the conclusion of this training, participants will be capable of:

• Navigating the Excel interface to perform basic data entry, formatting, and calculations.
• Applying advanced formulas, functions, and conditional formatting for data analysis.
• Creating and managing pivot tables and charts for data visualization.
• Using tools like Power Query and Power Pivot to perform data analysis.
• Automating tasks using macros and VBA to streamline workflows.

This live, instructor-led session in Latvia (delivered online or onsite) is tailored for professionals at beginner to intermediate levels. It aims to enhance their productivity and operational efficiency by harnessing the advanced features of Excel and Google Sheets for data organization, analytical processes, and collaborative efforts.

By the conclusion of this training, participants will be capable of:

• Mastering the navigation and utilization of core functionalities in Excel and Google Sheets.
• Executing data analysis and generating actionable insights using advanced spreadsheet techniques.
• Facilitating real-time collaboration through Google Sheets for cohesive teamwork.
• Constructing reusable templates for reporting, monitoring, and project oversight.

This live instructor-led training, delivered Latvia (online or onsite), is designed for data analysts aiming to acquire skills in data preparation using Excel and data visualization using Power BI.

By the end of this program, participants will have the capability to:

• Comprehend the foundational principles, goals, and approaches of data analysis.
• Employ DAX formulas in Power BI for advanced calculation tasks.
• Construct and deploy visualizations and charts suited to specific analytical needs.
• Leverage Power View imports to shift from Excel-dependent Power BI to a self-contained Power BI setup.