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.
This Power BI Online Training includes EVERY detail of each Power BI Visual, Usage and Properties as per the latest versions. This Power BI course includes On-premise and Cloud Data Access, REST API, Azure Stream and R Integration including Data Modelling and ETL Techniques with Basic to Advanced Power Query (M Language), DAX Language Functions, Power BI Dashboards, Streaming Datasets, App Workspace, Content Packs, Data Gateways, Alerts, Power BI Report Server Components, Power BI Mobile Reports, Excel Integration, Excel Analysis, KPIs for Big Data Analytics, DataFlows and Microsoft PL 300 Certification are also a part of this Power BI Online Training course in addition to Mock Interviews, 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 |
Total Duration | 4 Weeks | 7 Weeks | 14 Weeks |
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 12,000/-
USD 163 |
INR 16,000/-
USD 217 |
INR 38,000/-
USD 514 |
Trainer: Mr.Sai Phanindra (17+ Yrs of Exper)
All Session Are Completely Practical & Real Time
SQL Server & T-SQL Schedules | |||
S No | Time (IST, Mon - Fri) | Start Date | |
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1 | 6 AM - 7 AM | Mar 14th | Register |
2 | 8 AM - 9 AM | Feb 21st | Register |
3 | 9 AM - 10 AM | Feb 7th | Register |
4 | 12:30 PM - 1:30 PM | Feb 14th | Register |
5 | 6 PM - 7 PM | Feb 2nd | Register |
6 | 8 PM - 9 PM | Feb 28th | Register |
7 | 9 PM - 10 PM | Mar 20th | Register |
Power BI Training Schedules | |||
S No | Time (IST, Mon - Fri) | Start Date | |
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8 | 8 AM - 9 AM | Mar 15th | Register |
9 | 12:30 PM - 1:30 PM | Mar 8th | Register |
10 | 9 PM - 10 PM | Feb 15th | Register |
Azure Data Engineer Training Schedules | |||
S No | Time (IST, Mon - Fri) | Start Date | |
---|---|---|---|
7 | 7 AM - 8 AM | Feb 7th | Register |
8 | 11:30 AM - 12:30 PM | Feb 16th | Register |
8 | 7 PM - 8 PM | Feb 13th | Register |
If above schedules does not work for you, please register for Power BI Training Videos
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 |
✔ Azure Fundamentals | ✔ Azure AD |
✔ Azure SQL Concepts | ✔ Azure Migrations |
✔ Azure AD | ✔ Azure Key Vaults |
✔ Azure Monitor | ✔ Azure Functions |
✔ Azure Data Factory | ✔ Azure Synapse |
✔ Azure Synapse | ✔ Azure Strorage |
✔ Data Lake Storage | ✔ Data Lake Analytics |
✔ Stream Analytics | ✔ IoT, Event Hubs |
✔ Azure Cosmos DB | ✔ Azure Databricks |
Ch 1: DATABASE INTRODUCTION
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Ch 5: SQL Basics - 3, T-SQL INTRO
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Ch 9: Triggers & Transactions
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Ch 2: SQL SERVER INSTALLATIONS
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Ch 6 : CONSTRAINTS, INDEXES
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Ch 10: DB Architecture & Group By
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Ch 3: SSMS Tool, SQL BASICS - 1
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Ch 7: JOINS & LINKED SERVERS
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Ch 11: TSQL Queries: Group By, Joins
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Ch 4: SQL BASICS - 2
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Ch 8: VIEW, SPs, FUNCTIONS BASICS
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Ch 12 : ER MODELS, NORMAL FORMS
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Case Study 1 - For Database, Table Design (Constraints, Keys) |
Case Study 2 - For Query Writing + Window Functions (Rank, RowNumber) |
Part 1: Power BI Report Design |
Part 2: ETL, Data Modeling, DAX |
Part 3: Power BI Cloud, Admin |
Ch 1 : POWER BI BASICS
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Ch 7 : POWER QUERY LEVEL 1
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Ch 13 : POWER BI CLOUD - 1
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Ch 2: BASIC REPORT DESIGN
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Ch 8 : POWER QUERY LEVEL 2
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Ch 14 : POWER BI CLOUD - 2
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Ch 3 : Visual Sync, Grouping
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Ch 9 : POWER QUERY LEVEL 3
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Ch 15 : EXCEL & RLS
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Ch 4 : Hierarchies, Filters
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Ch 10 : DAX Functions - Level 1
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Ch 16 : Report Server, RDL
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Ch 5 : Bookmarks, Azure, Modeling
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Ch 11 : DAX Functions - Level 2
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Ch 17: MSBI Integrations
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Ch 6 : Visualization Properties
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Ch 12 : DAX FUNCTIONS Level 3
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Ch 18 : REAL-TIME PROJECT
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Mod 1: Azure Data Factory [ADF], Synapse |
Mod 2: Azure Storage & Stream Analytics |
Mod 3: Azure Databricks & SparkSQL |
Chapter 1: Cloud Basics, Azure SQL DB
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Chapter 1: Azure Storage & Containers
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Chapter 1: Azure Intro, Azure Databricks
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Chapter 2: Synapse SQL Pools (DWH)
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Chapter 2: Azure Migration, BLOB Imports
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Chapter 2: SQL Notebooks & Python
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Chapter 3: Azure Data Factory Concepts
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Chapter 3: Azure Tables, Shares
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Chapter 3: Python Notebooks
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Chapter 4: ADF Pipelines, Polybase
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Chapter 4: Azure Storage Security, Admin
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Chapter 4: Open Data Sources, DeltaLakes
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Chapter 5: OnPremise Data with ADF
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Chapter 5: Azure Monitoring, Power BI
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Chapter 5: Databricks Security & Jobs
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Chapter 6: ADF Data Flow - 1
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Chapter 6: Azure Stream Analytics, IoT
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Chapter 6: Databricks @ BLOB, Power BI
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Chapter 7: ADF Data Flow - 2
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Chapter 7: IoT Hubs & Event Hubs
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Chapter 7: Databricks Integrations
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Chapter 8: Azure Synapse Analytics
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Chapter 8: Azure Stream Analytics Security
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Real-Time Project
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Chapter 9: Synapse Analytics with Spark
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Chapter 10: Incremental Loads @ Synapse
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Chapter 11: Optimizations, Power Query
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Chapter 12: Pipeline Monitoring, Security
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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!