Zero to Hero in Power BI: Data Visualization using Power BI
What you'll learn
- Discover the Power BI interface and its key components, such as visuals, filters, and data fields.
- Master the process of importing and transforming data from different sources to create clean, structured datasets.
- Create interactive and visually appealing dashboards using a variety of charts, graphs, and slicers.
- Implement advanced data analytics techniques, including measures, calculated columns, and DAX formulas.
- Utilize Power Query to perform data cleansing, transformation, and data shaping operations effectively.
- Explore the integration of geographic data and learn how to create informative maps and location-based visualizations.
- Master the art of designing compelling reports that communicate insights effectively to various stakeholders.
Requirements
- A PC with a working internet connection and basic knowledge of computers is all that's required
Description
If you are a business professional, manager, or data enthusiast who has always wondered how to turn raw data into meaningful insights, you're in the right place. Do you wish to harness the full power of data visualization to make informed business decisions?
"Power BI: Zero to Hero in Data Visualization using Power BI" is a comprehensive course tailored to your needs. Whether you're a novice just dipping your toes into the world of data or a professional aiming to upgrade your skills, this course provides a detailed exploration of Power BI, one of the industry's most acclaimed data visualization tools.
In this course, you will:
Develop advanced data models that effectively interpret complex business scenarios.
Master the process of data cleansing and preparation using Power Query.
Create visually appealing, intuitive charts, and reports that speak volumes about your data.
Implement advanced analytics using Data Analysis Expressions (DAX) in Power BI.
The value of data literacy cannot be overstated in today's data-driven world. Power BI is a robust tool that simplifies data analysis and visualization, making it an essential skill for every business professional. Gaining proficiency in Power BI will enable you to leverage data effectively, enhancing your decision-making process and competitive edge.
This course is different because it is meticulously designed to ensure you grasp each concept thoroughly, from basic to advanced levels. Furthermore, based on our experience in the field of data analysis, we will be sharing best practices and real-world applications throughout the course.
Take the first step towards becoming a data visualization expert with Power BI today. Enroll now, and let's embark on this exciting journey together!
Who this course is for:
- Business professionals who want to derive actionable insights from their data to aid decision-making.
- Aspiring data analysts who aim to master one of the industry's leading data visualization tools.
- Career changers looking to pivot into a data-centric role and seeking a high-demand skill in today's job market
- IT professionals aspiring to expand their skill set with robust data analytics capabilities.
- Data enthusiasts eager to delve deeper into the world of data visualization and storytelling.
- Anyone who wants to learn about Power BI from the very beginning
Instructor
- 4.5 Instructor Rating
- 143,497 Reviews
- 1,960,518 Students
- 123 Courses
Start-Tech Academy is a technology-based Analytics Education Company and aims at Bringing Together the analytics companies and interested Learners.
Our top quality training content along with internships and project opportunities helps students in launching their Analytics journey.
Founded by Abhishek Bansal and Pukhraj Parikh.
Working as a Project manager in an Analytics consulting firm, Pukhraj has multiple years of experience working on analytics tools and software. He is competent in MS office suites, Cloud computing, SQL, Tableau, SAS, Google analytics and Python.
Abhishek worked as an Acquisition Process owner in a leading telecom company before moving on to learning and teaching technologies like Machine Learning and Artificial Intelligence.