AI-Powered Analytics with Power BI Training
Enhance your data analytics skills with AI integration through EduHubSpot’s Power BI certification course under the guidance of industry experts. After the completion of this Power BI full course, candidates will be able to:
Why Choose the AI-Powered Analytics with Power BI Training
Our Power BI Certification course will help students get their dream job. This course offers:
Our Power BI Certification Course
Includes
Get personalised support from mentors to resolve your doubts with clear, step-by-step guidance.
Revisit course materials anytime — learn at your own pace, from any device.
Build a strong professional profile with expert guidance on resumes and LinkedIn optimisation.
Access placement guidance, interview preparation, and career support tailored to your goals.
Learn directly from experienced industry professionals with practical insights and real-world expertise.
Earn a globally recognised certificate upon successful completion of the program.
Curriculum
Breakdown
Learning Outcomes:
Describe the Power BI ecosystem and its role in modern data analytics.
Outline the data analytics lifecycle and how it aligns with PL-300 skills.
Identify key components of Power BI (Desktop, Service, Mobile, Gateway).
Explain how Power BI enables data-driven decision-making and storytelling.
Recognise the prerequisites and career benefits of PL-300 certification.
Topics covered:
Overview of Microsoft Power BI as a unified analytics service.
Data analytics lifecycle: Plan, Prepare, Process, Publish, Present.
Business value of BI: Case studies on how insights drive strategic decisions.
Introduction to data storytelling principles: Narrative arcs, audience adaptation for various professional levels.
Ethical considerations in data handling and AI integration in Power BI.
Learning outcomes:
Connect to diverse data sources securely and efficiently.
Differentiate between import and DirectQuery modes for optimal performance.
Manage data source credentials, privacy levels and parameters.
Apply best practices for data connectivity in enterprise environments.
Align data ingestion strategies to support scalable decision-making.
Topics covered:
Supported data sources: Files (Excel, CSV, JSON), Databases (SQL Server, Azure SQL), Web (APIs, OData), Cloud (Azure Blob, SharePoint).
Connection methods: Import vs DirectQuery vs Live Connection; pros/cons for real-time vs. historical analysis.
Data source settings: Credentials (OAuth Basic), Privacy level (Public, Organisational and Private).
Parameters for dynamic connections and reusability.
Gateways: On-premises data gateway setup and troubleshooting.
PL-300 alignment: Identifying and connecting to sources or shared semantic models.
Learning outcomes:
Profile data to assess quality and structure.
Apply transformations to resolve inconsistencies and errors.
Optimise Power Query for performance in large datasets.
Ensure data preparation supports accurate modelling and storytelling.
Handle common data quality issues aligned to industry standards like GDPR compliance.
Topics covered:
Power Query Editor: Interface, applied steps and query diagnostics.
Data profiling: Column quality, value distribution, patterns, nulls.
Clearing techniques: Remove duplicates, handle nulls/missing values, standardise formats.
Transformations: Filtering rows, splitting/merging columns, and data type conversions.
Advanced: Custom columns with M language, error handling, and query folding.
PL-300 alignment: Evaluate data statistics, resolve inconsistencies/nulls/import errors.
Learning outcomes:
Design relational data models using star/snowflake schemas.
Establish and validate table relationships.
Create hierarchies for intuitive navigation.
Ensure model design facilitates quick insights for decision-makers.
Identify basic use cases for calculated columns vs measures.
Topics covered:
Relational modelling: Fact vs dimension tables, star vs snowflake schemas.
Relationships: One-to-many, many-to-one, cardinality, cross-filter direction (single/bidirectional).
Table properties: Sorting, default summaries, and hidden columns.
Hierarchies: Geographic, time-based, custom.
Keys: Primary/foreign keys, composite keys.
PL-300 alignment: Configure table/column properties, define relationships/cardinality, and create date tables.
Learning outcomes:
Implement complex relationships like role-playing dimensions.
Use composite models for hybrid connectivity.
Apply aggregations to handle large-scale data.
Optimise models for multi-departmental reporting needs.
Evaluate modelling impacts on query performance and storytelling clarity.
Topics covered:
Advanced relationships: Many-to-many, bidirectional filtering risks/mitigations.
Composite models: Mixing import/DirectQuery for scalability.
Aggregations: Summary tables, aggregation awareness.
Slowly changing dimensions (Type 2) basics.
Inactive relationships and alternate keys.
PL-300 alignment: Implement role-playing dimensions, create a common date table.
Learning Outcomes:
Write and debug basic DAX formulas for aggregations.
Understand row, filter and query contexts.
Create calculated columns and simple measures.
Apply DAX to derive initial insights for basic reporting.
Recognise common DAX pitfalls for efficient learning.
Topics covered:
DAX fundamentals: Syntax, operators, functions (SUM, AVERAGE, COUNT).
Contexts: Row context, filter context and context transition.
Calculated columns vs measures.
Basic functions: Aggregators, text, date.
Time intelligence intro: TOTALYTD, SAMEPERIODLASTYEAR.
PL-300 alignment: Create single aggregation measures, use CALCULATE, implement time intelligence.
Learning outcomes:
Develop sophisticated DAX using iterators and variables.
Create semi-additive and advanced time intelligence measures.
Optimise DAX for performance in large models.
Use DAX to build KPIs and scenarios for leadership storytelling.
Debug complex expressions using DAX Studio integration.
Topics covered:
Iterators: SUMX, AVERAGEX, FILTER.
Variables: VAR/RETURN for readability and performance.
Advanced time: DATESINPERIOD, PARALLELPERIOD, semi-additive (e.g., averages over time).
Statistical functions: RANKX, PERCENTILE.
Calculation groups for dynamic measures.
DAX User Defined Functions (UDFs) preview for custom logic.
Fast Filling Schedule
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Power BI Course By
EduHubSpot
Is Suitable For
Structured for professionals ready to scale leadership, handle complex programs, and gain globally recognised certification.
Schedules for AI Powered Analytics with Power BI Training
AI Powered Analytics Using Power BI
Skills Covered
Power BI Tools
Covered
Power BI
Projects
Hospital Patient Analytics Dashboard
Analyze patient admission data from various sources, including CSV files and SQL databases. Create a data model with relationships between patient demographics, treatment types, and outcomes. Build interactive visualizations to track readmission rates, average stay durations, and resource utilization, incorporating DAX measures for year-over-year comparisons.
Financial Performance Reporting Tool
Import financial statements and transaction data from Excel and APIs. Develop a star schema model with fact and dimension tables for accounts, periods, and categories. Design a dashboard with slicers for fiscal years, KPI cards for profitability ratios, and charts to visualize budget variances and cash flow trends using advanced DAX functions.
Sales Performance Dashboard
Build an interactive dashboard analyzing regional sales, product performance, and customer demographics to identify best-selling products and underperforming regions. Implement DAX measures for YoY growth and profitability trends.
Production Efficiency Analysis
Load manufacturing metrics from IoT sensors and ERP systems into Power BI. Build a data model incorporating equipment, shifts, and defect rates. Visualize downtime causes with pie charts, production output trends with line graphs, and calculate OEE (Overall Equipment Effectiveness) using custom DAX measures for process improvements.
Sales and Inventory Optimization Dashboard
Connect to retail sales data from online databases and POS systems. Transform and model data to include product hierarchies, store locations, and time intelligence. Create reports with interactive maps for regional sales, bar charts for top-selling items, and forecasts for inventory levels, applying row-level security for store managers.
Campaign ROI Evaluation Dashboard
Pull marketing data from CRM tools like Salesforce and web analytics. Create a semantic model with campaign, channel, and customer segment dimensions. Build visuals including funnel charts for conversion paths, heat maps for engagement by region, and DAX calculations for attribution modeling to assess return on investment.
Employee Turnover and Engagement Analytics
Import HR data from payroll systems and employee surveys. Design a model with employee profiles, departments, and tenure bands. Create reports with turnover rate KPIs, trend lines for satisfaction scores, and drill-through pages for demographic breakdowns, using bookmarks for narrative storytelling.
GenAI-Enhanced Sales Forecasting & Customer Insights Dashboard
Import sales, inventory, and customer data into Power BI. Leverage Power BI's built-in AI visuals (Key Influencers, Decomposition Tree, and Smart Narrative) to auto-detect top sales drivers, forecast demand, and generate natural language summaries of customer behavior. Design an interactive dashboard with AI-powered forecast lines, Q&A for ad-hoc queries, and dynamic text insights explaining seasonal trends and underperforming categories.
Customer Churn and Service Usage Analysis
Build a churn analysis dashboard showing customer usage patterns, plan performance, and retention metrics. Use Power BI AI visuals to detect factors influencing churn probability.
Supply Chain Delivery and Inventory Dashboard
Create a report tracking shipments, delivery times, and inventory levels across warehouses. Implement DAX measures for inventory turnover and visualize KPIs like on-time delivery and stockouts.
AI-Powered Analytics With Power BI Training Job
Trends
Associate-level professional - Entry level role in AI-Powered Analytics with Power BI. Growing demand across major IT services companies.
Hiring Companies
Salary
Mid-level professional - Experienced professionals with strong demand in analytics and consulting roles.
Hiring Companies
Salary
Senior-level professional - Leadership roles driving AI and analytics strategy at top global firms.
Hiring Companies
Salary
What will you learn for this
AI-Powered Analytics with Power BI Courses
Having the idea of the core components and functionalities of Power BI.
Understanding of connecting Power BI to various data sources.
Building skills to develop interactive dashboards and reports.
Expertise in using DAX for complicated calculations.
The idea of sharing and collaborating on reports using Power BI services.
Hands-on labs with real-world projects and AI-integrated Capstone projects on end-to-end Power BI solutions.
Your Learning Journey at
EduHubSpot
At EduHubSpot, the admission process includes several steps.
Registration
Interested candidates can register through the Official Website of EduHubSpot in a few simple steps and once registered, you will receive instant access to your learner dashboard.
Select your Batch
Choose a batch that aligns perfectly with your schedule and learning preferences. We offer flexible weekday and weekend options, allowing working professionals and students to learn Tension-Free.
Pre-Requisites
Before the program begins, we recommend brushing up on foundational concepts using the curated study materials available in your LMS. This ensures you start the course with confidence and are able to grasp advanced topics.
Live Classes
Attend all live instructor-led sessions to gain in-depth knowledge and practical exposure. These sessions are highly interactive, featuring real-world case studies, hands-on exercises, and doubt-solving.
Assessments & Quizzes
Reinforce your learning through regular assessments and quizzes designed to test your understanding at every stage. These evaluations help you identify strengths and work on improvement areas.
Certification
Upon successful completion of all classes, quizzes, and projects, you will receive an industry-recognized certification from EduHubSpot. This validates your skills and enhances your professional credibility.
Certification &
Career Path
Your Gateway to a Successful Digital Marketing Career
AI-Powered Analytics with Power BI Training navigates you towards a successful career. Our course enables you to earn a globally recognised certificate, which unlocks the most demanding roles and upgrades your career.
Reviews from our
Students
Career Assistance
Services
Expert-led PMP® sessions with practical strategies, scenario techniques, and career-boosting knowledge — join live and grow your skills.
Career Assistance Services
Resume Preparation
Craft ATS Job-Ready resumes through Expert Asisstance.
Interview Questions consolidated for an Hassle Free Interview Prep.
Materials for Interview Prep
Self-Branding through best Linkedin Profile.
Career Counselling
Know where you stand today in Terms of Skills and Technology
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Frequently Asked
Questions
You're serious about getting certified — and we're here to make sure no doubt stands in your way.
Although the course is designed for a wide range of learners, a basic understanding of Excel or a database is sufficient to enrol.
This course provides enhanced data analytics skills, advanced data visualisation techniques, data-driven decision-making, industry recognition, and broader career opportunities.
Yes, our course is aligned with the Microsoft PL-300 certification. We offer comprehensive learning materials, practice sets and assistance to help you succeed in the PL-300 certification exam.
Our specially curated course LMS will provide complete course contents, including PPTs, Docs, Quizzes, Assignment files, Lab Docs and recorded sessions.
We offer online sessions on weekend batches. Therefore, you can attend the class after managing your 9-to-5 job.
In this course, you will learn data visualisation techniques, analysis, modelling, integration, DAX formulas and Power BI service usage.
No, we offer hands-on and practical sessions. There is an opportunity to work on real-world projects, hands-on labs, assignments and a complete capstone project that includes data interpretation to deployment with security, performance and Fabric Integration.
We offer one year access to the complete course contents along with recorded sessions.
This course is perfect for data analysts, business intelligence professionals, data scientists, IT professionals, business users and lastly, people who enhanced their career.
The certifications of EduHubSpot are curated with the collaboration of industry experts, and these are aligned with global standards. After the completion of the course, you will earn the certificate, which is recognised by major organisations around the world.
Yes, we offer a comprehensive job assistance programme along with resume building, LinkedIn profile building, interview prep and career mentoring sessions to get your dream jobs.
In India, the demand for Power BI-certified professionals is increasing rapidly. Most of the renowned organisations hire certified professionals under attractive salary packages. The salary of an entry-level professional ranges between ₹3 and ₹10 LPA.