Data Analytics with Python in Power BI Training Course

This instructor-led, live training in Uzbekistan (online or on-site) is designed for business analysts, data analysts, and developers who wish to use the advanced features and tools in Power BI to perform complex data analysis and create interactive visual reports.

By the end of this training, participants will be able to:

• Install and configure Power BI and its necessary components.
• Understand and explore the advanced features, components, and tools in Power BI.
• Gain valuable insights into advanced data analysis and strategy.
• Apply advanced data modeling techniques.
• Learn how to implement advanced formulas and calculations using DAX.
• Master tips and tricks for data handling, visualization, and presentation.
• Create interactive reports and dashboards to enable collaboration within Power BI.
• Learn and explore embedded analytics in Power BI.

Power BI is an advanced analytics platform that empowers users to model, calculate, and visualize complex datasets using the DAX (Data Analysis Expressions) language and efficient data relationships.

This instructor-led, live training (online or onsite) is aimed at intermediate-level professionals who wish to deepen their Power BI skills with advanced data modeling, custom calculations, and powerful visualization techniques for business intelligence.

By the end of this training, participants will be able to:

• Design effective data models and manage relationships.
• Use DAX for calculated columns, measures, and advanced aggregations.
• Apply advanced visualization and interactivity techniques.
• Optimize performance and implement efficient data refresh strategies.

Format of the Course

• Interactive lecture and live demonstrations.
• Hands-on labs with real-world datasets.
• Step-by-step problem-solving using DAX and modeling tools.

Course Customization Options

• To request a customized training for this course, please contact us to arrange.

About This Course

This course explores various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. Participants will learn how to access and process data from a wide range of sources, including both relational and non-relational datasets. The curriculum also covers the implementation of robust security standards and policies across the Power BI ecosystem, encompassing datasets and groups. Additionally, the course details strategies for managing and deploying reports and dashboards to facilitate effective sharing and content distribution.

Audience Profile

This course is designed for data professionals and business intelligence specialists seeking to master accurate data analysis techniques using Power BI. It is also tailored for individuals responsible for developing reports that visualize data from platform technologies deployed both in the cloud and on-premises.

Skills gained

• Ingest, clean, and transform data
• Model data for optimal performance and scalability
• Design and create reports for data analysis
• Apply and execute advanced report analytics
• Manage and share report assets

This course covers various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It also demonstrates how to access and process data from diverse sources, including both relational and non-relational data. The course explores implementing proper security standards and policies across the Power BI ecosystem, encompassing datasets and groups. Additionally, it discusses managing and deploying reports and dashboards for effective sharing and content distribution. Finally, the course shows how to build paginated reports within the Power BI service and publish them to a workspace for inclusion in Power BI.

Power BI stands as a robust business intelligence and data visualization platform, enabling users to seamlessly connect, transform, and visualize data from diverse sources.

This instructor-led live training, available both online and onsite, is tailored for beginner to intermediate users eager to master data analysis and build interactive dashboards using Power BI.

Upon completion of this training, participants will be equipped to:

• Grasp the fundamental concepts of data analysis and data-driven decision-making.
• Prepare, clean, and transform data effectively using Power Query.
• Design visually engaging dashboards and interactive reports.
• Publish and securely share dashboards with key stakeholders.

Training Format

• Interactive lectures and discussions.
• Practical, hands-on experience with Power BI using sample datasets.
• Guided exercises and live demonstrations.

Customization Opportunities

• To arrange a customized version of this course, please reach out to us.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at beginner-level professionals who wish to clean and analyze data, make statistical projections, and create insightful visualizations using these tools.

By the end of this training, participants will be able to:

• Understand the basics of Python, R, Power Query, and Power BI for data analysis.
• Clean and organize datasets using Python and Power Query.
• Perform statistical analysis and projections with R.
• Create professional dashboards and reports with Power BI.
• Integrate and analyze data from multiple sources effectively.

This instructor-led, live training in Uzbekistan (online or onsite) is aimed at intermediate-level Python developers and data analysts who wish to enhance their skills in data analysis and manipulation using Pandas and NumPy.

By the end of this training, participants will be able to:

• Set up a development environment that includes Python, Pandas, and NumPy.
• Create a data analysis application using Pandas and NumPy.
• Perform advanced data wrangling, sorting, and filtering operations.
• Conduct aggregate operations and analyze time series data.
• Visualize data using Matplotlib and other visualization libraries.
• Debug and optimize their data analysis code.

This instructor-led, live training in Uzbekistan (online or onsite) is designed for data analysts who wish to learn techniques for preparing data in Excel, then visualizing it in Power BI.

By the end of this training, participants will be able to:

• Understand the principles of data analysis, objectives of data analysis, and approaches for data analysis.
• Use DAX formulas in Power BI for complex calculations.
• Create and use visualizations and charts for particular analysis cases.
• Import with Power View to move from Excel based Power BI to independent Power BI.

This instructor-led live training, offered online or on-site, targets developers aiming to leverage the FARM (FastAPI, React, and MongoDB) stack for building dynamic, high-performance, and scalable web applications.

By the conclusion of this training, participants will be able to:

• Set up a development environment that integrates FastAPI, React, and MongoDB.
• Understand the key concepts, features, and benefits of the FARM stack.
• Learn how to build REST APIs with FastAPI.
• Learn how to design interactive applications with React.
• Develop, test, and deploy applications (front end and back end) using the FARM stack.

This instructor-led, live training in Uzbekistan (online or on-site) is designed for developers who want to use FastAPI with Python to build, test, and deploy RESTful APIs more efficiently and quickly.

By the end of this training, participants will be able to:

• Set up the required development environment for building APIs with Python and FastAPI.
• Create APIs faster and more easily using the FastAPI library.
• Learn how to create data models and schemas based on Pydantic and OpenAPI.
• Connect APIs to a database using SQLAlchemy.
• Implement security and authentication in APIs using FastAPI tools.
• Build container images and deploy web APIs to a cloud server.

Format of the Course

• Interactive lecture and discussion.
• Extensive exercises and hands-on practice.
• Real-world implementation in a live-lab environment.

Course Customization Options

• To request a customized training programme for this course, please contact us to arrange.

Discover how to acquire and transform data to build interactive dashboards.

Power BI stands out as a leading data visualization and business intelligence tool. It comprises a suite of data connectors, applications, and software services designed to gather data from various sources, transform it, and generate visually appealing reports.

Additionally, Power BI enables you to publish reports for your organization, allowing access across mobile devices, tablets, and more. In this Power BI tutorial, we guide you through a step-by-step process for connecting to diverse data sources, performing data transformations, and creating visualizations such as charts, tables, matrices, and maps.

About the Training
This Microsoft Power BI Desktop training focuses on online report publishing, designed for individuals who already possess a foundational understanding of creating Power BI reports and wish to prioritize sharing their work with colleagues. By incorporating elements of online data model management, this course enables you to manage report sharing more effectively.

Training Objectives
The goal is to familiarize participants with tools that expand the capabilities of Microsoft Power BI Desktop, specifically regarding the publication of reports via the online service and their subsequent use in report creation and analysis.

How Power BI Will Enhance Your Work
You will learn to publish reports efficiently. You will optimize methods for retrieving and transforming data within cloud services. Your skills in utilizing the premier analytical tool with online data model management will be enhanced. Additionally, you will gain confidence in your professional role by acquiring new competencies.

Application of Acquired Knowledge
You will improve the efficiency of your work involving report creation and the use of BI tools in cloud solutions. You will also experience greater convenience in accessing data. Ultimately, you will achieve a higher quality in both the presentation and updating of data.

Key Learning Outcomes
You will learn how to effectively utilize the Power BI service. You will be able to establish a unified online reporting system. You will master the standardization of methods for generating reports and creating summaries for analysis. Furthermore, you will elevate the security of your reports to a higher standard.

Power BI is a leading business intelligence platform that enables financial professionals to transform complex datasets into actionable financial insights. The PL-300 certification validates one's ability to prepare, model, visualize, and analyse data using Power BI tools.

This instructor-led, live training (online or onsite) is aimed at intermediate-level financial analysts who wish to strengthen their Power BI skills while preparing for the Microsoft PL-300 Data Analyst Associate exam.

By the end of this training, participants will be able to:

• Prepare and transform financial data for analysis using Power Query.
• Design optimised financial data models aligned with PL-300 requirements.
• Create financial dashboards with KPIs, ratios, and variance analysis.
• Apply exam-relevant concepts and best practices for certification success.

Format of the Course

• Interactive lecture and certification-oriented discussions.
• Hands-on labs using financial datasets and case studies.
• Exam-focused exercises and simulation practice questions.

Course Customisation Options

• To request a customised training for this course, please contact us to arrange.

This course covers various methods and best practices aligned with business and technical requirements for modeling, visualizing, and analyzing data using Power BI. It demonstrates how to access and process data from diverse sources, including both relational and non-relational systems. The course also explores implementing appropriate security standards and policies across the Power BI ecosystem, covering datasets and groups. Additionally, it discusses managing and deploying reports and dashboards for effective sharing and content distribution.