Ultimate Beginners Guide to Power BI - Part 2
This course is designed for individuals looking to develop their analytical thinking and capabilities with Power BI. It is the second installation of a comprehensive free training course on the introductory concepts of how to use Power BI as an analytical tool. It will teach users how to use Power BI as an analytical engine, turning raw data into unmatched insights, automate analysis and reporting, create compelling visualizations, and find insights that make a difference and add value to decision making. The course includes almost 2 hours of video content, a demo data set, and an advanced Power BI model & report. Testimonials from users have been positive, praising the course for its ability to help them understand Power BI concepts. The course is led by Sam McKay, CFA, the founder and CEO of Enterprise DNA, who is passionate about empowering users of Power BI. ▼
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Course Feature
Cost:
Free
Provider:
Udemy
Certificate:
Paid Certification
Language:
English
Start Date:
On-Demand
Course Overview
❗The content presented here is sourced directly from Udemy platform. For comprehensive course details, including enrollment information, simply click on the 'Go to class' link on our website.
Updated in [February 21st, 2023]
Learning Value 1: Understanding Power BI as an Analytical Engine
This course provides learners with an understanding of Power BI as an analytical engine, teaching them how to turn raw data into unmatched insights. Learners will be able to save time by learning how to automate analysis and reporting, as well as how to look at raw data and apply Power BI and DAX to find answers. This course will help learners develop compelling visualizations that showcase insights that will add value to business discussions and actions.
Learning Value 2: Comprehensive Course Content
This course provides almost 2 hours of course video content, 1x demo data set to practice developing Power BI reports with, and 1x advanced Power BI model & report (pbix file) showcasing all the examples used during the course. Learners will be able to gain a comprehensive understanding of Power BI and its features, as well as how to use it to develop compelling reports and visualizations.
Learning Value 3: Testimonials
This course provides learners with testimonials from individuals who have taken the course and found it to be educational and empowering. Learners will be able to gain confidence in their ability to use Power BI and understand its concepts, as well as know where to go if they ever need more knowledge.
Learning Value 4: Passionate Instructor
The instructor of this course, Sam McKay, is passionate about empowering users of Power BI. He has reached over 100,000 Power BI users, showing them a range of tips and tricks in Power BI development. Learners will be able to gain a comprehensive understanding of Power BI from an instructor who is passionate about the subject and has a wealth of knowledge to share.
[Applications]
Upon completion of the Ultimate Beginners Guide to Power BI - Part 2 course, individuals will have the knowledge and skills to use Power BI as an analytical engine, turning raw data into unmatched insights. They will be able to save time by learning how to automate analysis and reporting, as well as how to look at raw data and then apply Power BI and DAX to find answers. Additionally, they will be able to develop compelling visualizations that showcase insights that will add value to business discussions and actions. With the course, individuals will also receive almost 2 hours of course video content, 1x demo data set to practice developing Power BI reports with, and 1x advanced Power BI model & report (pbix file) showcasing all the examples used during the course.
[Career Paths]
Career Paths Recommended:
1. Business Intelligence Analyst: Business Intelligence Analysts are responsible for collecting, analyzing, and interpreting data to help organizations make better decisions. They use a variety of tools, such as Power BI, to create reports and dashboards that provide insights into the performance of the organization. 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 a variety of tools and techniques to analyze large datasets and uncover patterns and trends. They use Power BI to create visualizations and reports that help organizations make better decisions. As the demand for data-driven decision making increases, the need for Data Scientists is expected to grow.
3. Data Visualization Designer: Data Visualization Designers use Power BI to create visually appealing and informative dashboards and reports. They use a variety of tools and techniques to create visualizations that help organizations make better decisions. As the demand for data-driven decision making increases, the need for Data Visualization Designers is expected to grow.
4. Data Engineer: Data Engineers are responsible for designing, building, and maintaining data pipelines and data warehouses. They use Power BI to create reports and dashboards that help organizations make better decisions. As the demand for data-driven decision making increases, the need for Data Engineers is expected to grow.
[Education Paths]
Recommended Degree Paths:
1. Bachelor of Science in Business Analytics: This degree program focuses on the application of data analytics to business decision-making. Students learn to use data to identify trends, develop strategies, and make predictions. They also learn to use data visualization tools to present their findings. This degree is becoming increasingly popular as businesses recognize the value of data-driven decision-making.
2. Master of Science in Data Science: This degree program focuses on the development of data-driven solutions to complex problems. Students learn to use data to identify patterns, develop models, and make predictions. They also learn to use machine learning algorithms to automate data analysis. This degree is becoming increasingly popular as businesses recognize the value of data-driven solutions.
3. Master of Science in Artificial Intelligence: This degree program focuses on the development of intelligent systems. Students learn to use artificial intelligence algorithms to solve complex problems. They also learn to use machine learning algorithms to automate data analysis. This degree is becoming increasingly popular as businesses recognize the value of intelligent systems.
4. Master of Science in Business Intelligence: This degree program focuses on the application of data analytics to business decision-making. Students learn to use data to identify trends, develop strategies, and make predictions. They also learn to use data visualization tools to present their findings. This degree is becoming increasingly popular as businesses recognize the value of data-driven decision-making.
Pros & Cons
Pace was perfect
Covers the basics
Fun and interactive
Lots of useful information
Expert with deep knowledge
Wellexplained content
Needed to go back
Poor teaching skills
Flawed structure and planning
Poor understanding of viewer's needs
Instructor clicks everywhere without telling
Struggled to see which keys he used
Course Provider
Provider Udemy's Stats at AZClass
Discussion and Reviews
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