Microsoft Power BI Beginner to Intermediate Course: 4+ Hours Data Visualization Training

Course Overview

Welcome to Microsoft Power BI Beginner to Intermediate Course: 4+ Hours Data Visualization Training! This course is designed to help you understand the basics of Power BI and how to use it to create powerful data visualizations. You will learn how to install Power BI Desktop, explore commonly used Power BI options, import files from a folder into Power BI Desktop, get data from Excel and text files, create relationships between tables, create a dynamic list of dates, create additional date columns for analysis, sort the month and weekday names correctly, mark the table as a date table, hide unnecessary fields from report view, import Excel data files, combine files and remove columns, split and merge columns, troubleshoot relationship issues, relationship types, cross filter direction, visualizations, tables vs matrix tables, formatting visualizations, conditional formatting, column and line charts, card visualizations, map charts, gauge visualization, slicers and filters, applying design elements, adding a report title, add navigation buttons with bookmarks, card visualizations and filtering, line charts: male vs female customers, stacked column chart, treemap chart, funnel chart, matrix table, and conditional formatting: background fill and icon sets.

This course will provide you with the skills and knowledge to create powerful data visualizations with Power BI. You will learn how to import data from various sources, create relationships between tables, create dynamic lists of dates, and create visualizations. You will also learn how to format visualizations, apply design elements, and add navigation buttons with bookmarks. Finally, you will learn how to use card visualizations and filtering, line charts, stacked column charts, treemap charts, funnel charts, and matrix tables.

In this course, you will gain an overview of Power BI, learn how to install and use Power BI Desktop, and explore commonly used Power BI options. You will also learn how to import data from various sources, create relationships between tables, create dynamic lists of dates, and create visualizations. You will also learn how to format visualizations, apply design elements, and add navigation buttons with bookmarks. Finally, you will learn how to use card visualizations and filtering, line charts, stacked column charts, treemap charts, funnel charts, and matrix tables.

By the end of this course, you will have the skills and knowledge to create powerful data visualizations with Power BI. You will be able to import data from various sources, create relationships between tables, create dynamic lists of dates, and create visualizations. You will also be able to format visualizations, apply design elements, and add navigation buttons with bookmarks. Finally, you will be able to use card visualizations and filtering, line charts, stacked column charts, treemap charts, funnel charts, and matrix tables.

[Applications]
Upon completion of the Microsoft Power BI Beginner to Intermediate Course, users can apply their new skills to create data visualizations and reports. They can use Power BI Desktop to import data from Excel and text files, create relationships between tables, and create dynamic lists of dates. They can also use Power BI to create visualizations such as tables, matrix tables, column and line charts, card visualizations, map charts, gauge visualizations, and more. Additionally, users can apply design elements such as report titles, navigation buttons, and card visualizations with filtering.

[Career Paths]
Recommended career paths for learners of this course include:

1. Business Intelligence Analyst: Business Intelligence Analysts use Power BI to analyze data and create visualizations to help organizations make better decisions. They are responsible for developing and maintaining data models, creating reports, and providing insights into the data. They must be able to interpret data and identify trends and patterns. As the demand for data-driven decision-making increases, the need for Business Intelligence Analysts is expected to grow.

2. Data Scientist: Data Scientists use Power BI to analyze large datasets and uncover insights. They are responsible for developing algorithms and models to identify patterns and trends in data. They must be able to interpret data and communicate their findings to stakeholders. As organizations become increasingly data-driven, the demand for Data Scientists is expected to grow.

3. Data Visualization Developer: Data Visualization Developers use Power BI to create visualizations that help organizations make better decisions. They are responsible for designing and developing interactive visualizations that are easy to understand and interpret. They must be able to interpret data and identify trends and patterns. As organizations become increasingly data-driven, the demand for Data Visualization Developers is expected to grow.

4. Data Analyst: Data Analysts use Power BI to analyze data and create reports. They are responsible for developing and maintaining data models, creating reports, and providing insights into the data. They must be able to interpret data and identify trends and patterns. As organizations become increasingly data-driven, the demand for Data Analysts is expected to grow.

[Education Paths]
Recommended degree paths:

1. Bachelor of Science in Business Analytics: This degree program provides students with the skills and knowledge to analyze data and make informed decisions. Students learn how to use data to identify trends, develop strategies, and optimize operations. The program also covers topics such as data mining, predictive analytics, and machine learning. This degree is becoming increasingly popular as businesses become more data-driven.

2. Master of Science in Data Science: This degree program focuses on the application of data science techniques to solve real-world problems. Students learn how to use data to develop models, create visualizations, and interpret results. The program also covers topics such as data mining, machine learning, and artificial intelligence. This degree is becoming increasingly popular as businesses become more data-driven.

3. Master of Science in Business Analytics: This degree program provides students with the skills and knowledge to analyze data and make informed decisions. Students learn how to use data to identify trends, develop strategies, and optimize operations. The program also covers topics such as data mining, predictive analytics, and machine learning. This degree is becoming increasingly popular as businesses become more data-driven.

4. Doctor of Philosophy in Data Science: This degree program focuses on the application of data science techniques to solve real-world problems. Students learn how to use data to develop models, create visualizations, and interpret results. The program also covers topics such as data mining, machine learning, and artificial intelligence. This degree is becoming increasingly popular as businesses become more data-driven.