A tanfolyamról
Step into the world of data visualization and analytics with our hands-on, project-based course. Over the span of just 24 hours or 3 full training days, you'll not only learn the ins and outs of Microsoft Power BI but also apply your newfound skills to real-world projects that simulate the challenges faced by data professionals today.
This course is your gateway to mastering data visualization through Microsoft Power BI in a project-based, practical way. From day one, you'll be navigating the software, connecting to data sets, and exporting reports, all within an easy-to-follow, step-by-step process that's perfect for beginners.
As you progress, you'll discover how to recognize patterns and forecast trends, making use of Power BI’s advanced features like hierarchies and time series. You’ll simplify complex data with aggregations and maintain precise calculations with granularity, ensuring your analyses are both accurate and accessible.
Your journey through data will be marked by the creation of diverse visualizations — charts, maps, scatterplots, and interactive dashboards. These will not just be exercises, but stepping stones to building a comprehensive portfolio of projects that showcase your ability to turn raw data into compelling visual narratives.
In the latter stages of the course, you'll dive into advanced custom visualizations and learn to integrate multiple data sources. These skills will culminate in the development of a final project, where you’ll employ the full range of Power BI tools to create a visualization solution that addresses a complex, real-world data challenge.
By the end of this immersive course, you'll emerge as a proficient Power BI user, ready to use your data visualization skills to inform strategic decisions. You’ll be equipped to handle any data set and will possess the ability to present your findings in a way that is both insightful and impactful, making you a sought-after asset in any data-driven organization.
Who Should Attend This Course
- Data Analysts
- Business Analysts
- Data Scientists
- Data Engineers
- Database Administrators
- IT Professionals
- Consultants
- Freelancers
- Students
- Freshers
- Professionals interested in Data Analytics
What You Will Learn
-
Get Data from Data Sources
Learn to identify and connect to diverse data sources, modify settings, and choose between datasets. -
Clean the Data
Learn to evaluate data statistically, resolve inconsistencies, and address data import errors. -
Transform and Load the Data
Learn to handle data efficiently by refining queries, designing star schemas, and more. -
Design and Implement a Data Model
Learn to implement role-playing dimensions, define relationship cardinality, and more. -
Create Model Calculations Using DAX
Gain expertise in developing and implementing aggregation measures, time intelligence measures, and more. -
Optimize Model Performance
Learn performance optimization techniques such as utilizing Performance Analyzer and selecting optimal data types. -
Create Reports
Identify, implement, and optimize visualizations for impactful data presentation and leveraging custom themes. -
Enhance Reports
Create engaging and user-friendly reports by configuring interactive navigation and using other techniques. -
Identify Patterns
Utilize Power BI's Analyze feature, grouping, binning, clustering, and AI visuals for insightful data analysis.
Skills You Will Gain
- Data preparation
- Data cleaning
- Data transformation
- Data modeling
- Data visualization
- Data analysis
- Report designing
- Advanced report analytics
- Managing report assets
- Sharing report assets
- Enhancing Power BI reports
- Deploying dashboards
This Microsoft Power BI course is the ultimate training course you will find to master Power BI. Meticulously designed to transform you into an exceptional data analyst primed for prominent positions in leading organizations, the course lays emphasis on hands-on learning. By the course's culmination, you will possess unrivaled proficiency to:
- Enhance data integrity through meticulous data cleaning techniques.
- Master the art of data extraction and captivating data visualization.
- Leverage the full potential of DAX functions for advanced data manipulation.
- Effortlessly automate Excel tasks to expedite workflow.
- Craft captivating interactive reports and dynamic dashboards.
We provide the course in English.
Tematika
Curriculum
1. Introduction to Data Analysis and BI Tools
Learning Objectives
Navigate the fundamentals of data analysis and business intelligence tools with this module, ensuring participants gain a holistic understanding of concepts and practical skills for effective data interpretation and tool implementation.
Topics
- Welcome and Course Overview
- Basics of Data Analysis
- Overview of BI Tools and Setting Up the Environment
2. Data Preparation and ETL Fundamentals
Learning Objectives:
Grasp the nuances of data sources and types, acquire skills in data cleaning and pre-processing techniques, and gain an introduction to Extract, Transform, Load (ETL) tools, fostering proficiency in managing diverse data sets for analytical purposes.
Topics
- Understanding Data Sources and Types
- Data Cleaning and Pre-processing Techniques
- Introduction to ETL Tools
3. Data Modeling and Basic Visualization
Learning Objectives:
Delve into data modeling principles, master the art of crafting basic visualizations, and refine the skill of impactful storytelling with data in this module, cultivating a comprehensive expertise in presenting insights through compelling visual narratives.
Topics
- Data Modeling Concepts and Practices
- Creating Basic Visualizations
- Storytelling with Data
4. Intermediate Data Transformations
Learning Objectives:
Master the art of creating engaging and interactive dashboards, and learn to incorporate user feedback seamlessly into visualization design, ensuring participants can develop dynamic and user-centric data presentations for effective decision-making.
Topics
- Designing Interactive Dashboards
- Implementing User Feedback into Visualization Design
5. Interactive Dashboard Design
Learning Objectives:
Master the art of creating engaging and interactive dashboards, and learn to incorporate user feedback seamlessly into visualization design, ensuring participants can develop dynamic and user-centric data presentations for effective decision-making.
Topics
- Designing Interactive Dashboards
- Implementing User Feedback into Visualization Design
6. DAX Fundamentals
Learning Objectives:
Master Data Analysis Expressions (DAX) within BI tools, exploring common functions and their practical applications, equipping participants with the skills to leverage DAX for effective data modeling and analysis.
Topics
- Introduction to DAX in BI Tools
- Common DAX Functions and Their Uses
7. Advanced DAX and Analytics
Learning Objectives:
Immerse yourself in the intricacies of advanced DAX functions and explore analytical techniques using Data Analysis Expressions, empowering participants to leverage sophisticated DAX capabilities for in-depth data analysis and insights.
Topics
- Deep Dive into Advanced DAX Functions
- Analytical Techniques Using DAX
8. Publishing and Power BI Service Integration
Learning Objectives:
Learn the art of publishing comprehensive reports and dashboards, and explore collaborative features using Power BI Service, empowering participants to effectively share and collaborate on data-driven insights within a collaborative digital environment.
Topics
- Publishing Reports and Dashboards
- Using Power BI Service for Collaboration
9. Advanced Features and Mobile BI Strategies
Learning Objectives:
Delve into the intricacies of data gateways and considerations for Mobile Business Intelligence (BI), while exploring security and administration features, ensuring participants gain a comprehensive understanding of managing data access, mobility, and security within BI environments.
Topics
- Data Gateways and Mobile BI Considerations
- Security and Administration Features
10. Python, Machine Learning, and SQL Integration
Learning Objectives:
Explore the fundamentals of Python for data science, gain insights into machine learning model basics, and discover the seamless integration of SQL with BI tools, providing participants with a well-rounded skill set to leverage Python, machine learning, and SQL for advanced data analysis and insights.
Topics
- Python for Data Science Basics
- Introduction to Machine Learning Models
- Integrating SQL with BI Tools
11. M Language and Automation
Learning Objectives:
Master the essentials of the M language for data transformation and explore techniques for automating data processing and reporting, ensuring participants acquire the skills to efficiently transform data and automate reporting tasks using M language capabilities.
Topics
- M Language Essentials for Data Transformation
- Automating Data Processing and Reporting
12. Final Project and Wrap-up
Learning Objectives:
Navigate through the final project guidelines, actively engage in a review and Q&A session, and conclude the course with insights into the next steps, ensuring participants are well-equipped to apply their acquired skills in a comprehensive final project and move forward confidently in their learning journey.
Topics
- Final Project Guidelines and Development
- Review and Q&A
- Course Conclusion and Next Steps
Kinek ajánljuk
Előfeltételek
Prerequisites
Basic computer literacy, a fundamental understanding of data concepts, and proficiency in English are recommended.
You should also install Power BI Desktop on your Windows PC.