Power BI is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding.
This Power BI Training includes EVERY detail. From very basics - Installation, details of each Power BI Visual, On-premise and Cloud Data Access, Azure Integration, Data Modelling and ETL Techniques, Power Query (M Language), DAX Functions, Variables, Parameters, Power BI Dashboards, App Workspace, Data Gateways, Alerts, Power BI Report Server Components, Power BI Mobile Reports, Excel Integration, Excel Analysis, KPIs, Microsoft PL 300 Certification guidance, Resume Guidance, Concept wise Interview FAQs and ONE Real-time Project.
PLAN A | PLAN B | PLAN C | |
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Course includes | Power BI | T-SQL, Power BI |
T-SQL, Power BI, Azure Data Engineer |
No of Videos | 18 Videos | 30 Videos | 58 Videos |
Power BI Report Design | ✔ | ✔ | ✔ |
Power BI Desktop, Custom Visuals | ✔ | ✔ | ✔ |
Data Modelling with Power Query | ✔ | ✔ | ✔ |
Data Modelling with DAX | ✔ | ✔ | ✔ |
Power BI Cloud, Excel Analysis | ✔ | ✔ | ✔ |
Power BI Mobile, R, REST API | ✔ | ✔ | ✔ |
PL 300 Exam Guidance | ✔ | ✔ | ✔ |
Real-Time Project in Power BI | ✔ | ✔ | ✔ |
SQL Database, T-SQL Queries | ❌ | ✔ | ✔ |
Normal Forms, Joins, Query Tuning | ❌ | ✔ | ✔ |
Sub Queries, Stored Procedures | ❌ | ✔ | ✔ |
Excel Pivot Tables, Pivot Charts | ❌ | ✔ | ✔ |
Azure Fundamentals and Azure AD | ❌ | ❌ | ✔ |
Azure Data Factory & ETL Concepts | ❌ | ❌ | ✔ |
Azure Synapse Analytics, SQL Pools | ❌ | ❌ | ✔ |
Synapse Studio with Analytics Workspace | ❌ | ❌ | ✔ |
Azure Storage (BLOB), Data Lake Storage | ❌ | ❌ | ✔ |
Python Notebooks and Spark Clusters | ❌ | ❌ | ✔ |
Azure Stream Analytics & SAQL for ETL | ❌ | ❌ | ✔ |
Azure Functions and Azure Key Vaults | ❌ | ❌ | ✔ |
Data Engineer Exam Guidance (DP 203) | ❌ | ❌ | ✔ |
DP 500 [ADE + Power BI] | ❌ | ❌ | ✔ |
Total Course Fee* | INR 12000 USD 150 |
INR 17000 USD 200 |
INR 42000 USD 500 |
Custom Visuals | Power BI Mobile |
Big Data Sources | R, Python, JSON |
Excel Analysis | Excel Online |
Google Big Query | Report Server |
Gateways, Rest API | Power BI Admin |
Video 1: DATABASE INTRODUCTION
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Video 5: SQL Basics - 3, TSQL INTRO
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Video 9: Functions, Procedures Basics
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Video 2: SQL SERVER INSTALLATION
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Video 6: Constraints, Index Basics
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Video 10: TRIGGERS & TRANSACTIONS
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Video 3: SSMS Tool, SQL BASICS - 1
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Video 7: Joins Basics, TSQL Queries
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Video 11: Normal Forms, Cursors
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Video 4: SQL BASICS - 2
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Video 8: Group By, Views & Excel
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Video 12: TSQL Merge, Cursors
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Case Study 1: Database Design with Tables, Constraints, Keys & Relations |
Case Study 2: Joins with Group By, Sub Queries, Views, Excel Analytics |
Part 1: Power BI Report Design |
Part 2: Power Query, Cloud (Service) |
Part 3: DAX & Report Server |
Video 1: POWER BI INTRODUCTION
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Video 7: POWER QUERY LEVEL 1
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Video 13: DAX Functions - Level 1
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Video 2: Basic Report Design
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Video 8: POWER QUERY LEVEL 2
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Video 14: DAX Functions - Level 2
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Video 3: Visual Interaction, Visual Sync
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Video 9: POWER QUERY LEVEL 3
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Video 15: DAX Functions - Level 3
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Video 4: Grouping & HierarVideoies
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Video 10: POWER BI CLOUD - 1
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Video 16: DAX Functions - Level 4
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Video 5: Filters & Bookmarks
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Video 11: POWER BI CLOUD - 2
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Video 17: Power BI Report Server
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Video 6: Big Data Access, Visuals
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Video 12: POWER BI CLOUD - 3
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Video 18: Power BI Admin & AI
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Power BI : Realtime Project (Sales - Retail) |
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Phase 1 : Basic Report Design
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Phase 2 : SME Level
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Phase 3: Deployments (Cloud, Server)
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Part 1: Azure Data Factory, Synapse Analytics |
Part 2: Data Lake Storage, Stream Analytics |
Part 3: Databricks, Spark, Python |
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Videoapter 1: Cloud Basics, Azure SQL
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Videoapter 1: Azure Fundamentals - Storage
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Videoapter 1: Azure Intro, Azure Databricks
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Videoapter 2: Synapse SQL Pools (DWH)
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Videoapter 2: Azure Storage Operations
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Videoapter 2: SparkDatabase, SQL Notebooks
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Videoapter 3: Azure Data Factory, Pipelines
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Videoapter 3: Azure Storage Security, ACLs
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Videoapter 3: Python Intro, Data Loads
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Videoapter 4: OnPremise Data Loads, Upsert
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Videoapter 4: SQL Database Migrations
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Videoapter 4: PySpark with ADLS
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Videoapter 5: File Incremental Loads in ADF
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Videoapter 5: Azure Tables & Replication
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Videoatper 5: PySpark Widgets
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Videoapter 6: ADF Data Flow - 1
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Videoapter 6: Azure Stream Analytics, IoT
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Videoapter 6: ArVideoitecture, Workflows
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Videoapter 7: ADF Data Flow - 2
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Videoapter 7: Azure Event Hubs
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Videoapter 7: Databricks Security, Scala
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Videoapter 8: Azure Synapse Analytics
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Videoapter 8: Storage ArVideoitecture, Queues
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Videoapter 8: Scala with ADLS, Azure SQL
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Videoapter 9: Synapse Analytics with Spark
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Videoapter 9: Monitoring & Key Vaults
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Videoapter 9: DeltaLake Incr Loads, DWH
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Videoapter 10: Synapse Security & Parameters
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Real-time Project (End to End)
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Videoapter 11: Videoange Data Capture (CDC)
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Azure Data Engineering with Power BI (For Power BI Registrations)
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Complete Real-time and Practical Power BI Training with Real-time Scenarios. Power BI is a cloud-based, elegant end-to-end business analytics tool that enables anyone to visualize, analyze, forecast any type of data with greater speed, efficiency, and understanding. It connects users to a broad range of data through easy-to-use dashboards, interactive reports and compelling visualizations for your day to day corproate business data needs!