Power BI Course

Your Dream career Starts here

  • Comprehensive Power BI Training
  • Data Visualization Mastery
  • Interactive Dashboards Skills
  • Data Analysis Technique
  • Power BI Certification
  • Hands-on Learning Approach
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Elevate Your Career with Our Power BI Course Coimbatore

  • Master data visualization tools
  • Learn advanced analytics techniques
  • Real-time data integration skills
  • Hands-on experience with dashboards
  • Boost career growth opportunities
  • Access to expert trainers
Students Trained
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Institutions
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Success Rate
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Professional Tools Covered In The Course

Power BI Interface

Data Cleaning

Data Transformation

DAX Functions

Data Modeling

Report Creation

Interactive Dashboards

Power BI Visualizations

Data Integration

Power Query Editor

Time Intelligence

DAX

Pivot Tables

Multi-Table Models

Complex Visuals

Power BI Service

Publishing Reports

Visual Creation

Report Performance

Power BI Security

Mobile View Reports

NL Queries

Power BI Licensing

Data Reporting

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  • Programming Fundamentals
  • What can Python do?
  • Why Python?
  • Python Syntax compared to other Programming Languages
  • Python Installation
  • Compilation and Interpretation
  • Path Configuration
  • Python Data Structures Data & Types
  • String Operations in Python
  • Simple Input & Output
  • Operators in Python
  • Decision Making
  • IF-IF ELSE
  • Else IF NESTED
  • Looping
  • FOR-WHILE-NESTED LOOPs
  • Create your Function
  • User-defined and System defined functions
  • Variable Argument
  • Scope of Function
  • Lambda Function & Map
  • Exercise with Functions
  • Errors
  • Exception handling with try
  • Handling Multiple Exceptions
  • Writing your Exception
  • New Style Classes
  • Creating Classes
  • Constructor
  • Instance Methods
  • Inheritance
  • Polymorphism
  • Abstraction
  • Encapsulation
  • Exception Classes
  • List Comprehensions
  • Nested List Comprehensions
  • Dictionary Comprehensions
  • Tuples
  • Iterators
  • Generators
  • With Statement
  • Data Comprehension
  • Namedtuple()
  • Deque
  • Chainmap
  • Counter
  • Dict and Types
  • Introduction
  • Components and Events
  • An Example GUI
  • The root Component
  • Widgets
  • Buttons
  • Introduction
  • Hello World
  • Major Classes
  • Using Qt Designer
  • Signals & Slots
  • Layout Management
  • Basic Widgets
  • Drag & Drop
  • Database Handling
  • Introduction DB Connection
  • Creating DB Table
    INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK Operation
  • Handling Errors
  • GUI With Sqlite3
  • Desktop Application
  • PYTHON OTHER MODULES
  • Random
  • Turtle
  • File Input & Output
  • Time & Date etc.
  • What IS SQL
  • SQL - Setup Mode
  • SQL Introduction
  • SELECT - FORM
  • LIMIT
  • WHERE
  • Comparison Operators
  • Logical operators: AND, OR, NOT
  • LIKE
  • IN, NOT IN
  • BETWEEN
  • IS NULL
  • ORDER BY
  • Introduction to Aggregation
  • COUNT, SUM
  • MIN, MAX, AVC
  • CROUP BY
    HAVING
  • DISTINCT
  • CASE Statement
  • Introduction to Joins
  • Why do we split data into separate tables?
  • Inner Join
  • Left & Right Join
  • JOINS & Filtering
  • JOINs & Aggregation
  • Full Outer Join
  • UNION, UNION ALL
  • Self join
  • Subqueries
  • WITH: Common Table Expressions
  • Introduction Microsoft Excel
  • Range
  • Formulas & Functions
  • Ribbon
  • Workbook & Worksheets
  • Format Cells
  • Find & Select
  • Data Validation
  • Share & Protect
  • COUNT & SUM
  • Logical
  • Cell References
  • Date & Time
  • Text
  • Lookup References
  • Round
  • Formula Errors
  • Array Functions
  • Sort
  • Filter
  • Conditional Formatting
  • Tables
  • Pivot Tables
  • Charts
  • Introduction - Microsoft Power Bl
  • Introduction - Business Intelligence
  • Introduction — Data Visualization
  • Components of Power Bl
  • Power Bl Desktop
  • Introduction - Data Warehouse
  • Power Bl — Installation
  • Power Bl - Dynamic User Interface
  • Power Query Overview
  • PQ — Text Functions
  • PQ — Date Functions
  • PQ — Number Functions
  • PQ - conditional columns & CFE
  • PQ — Appending or Combining Files
  • PQ — Merge Queries
    Powerful Cleaning Features
    1. Pivoting
    2 Unpivoting
  • Working with Rows & Columns in PQ
  • Working with Filters & Parameters
  • Custom Function Feature to Clean and Combine Files
  • Get SQL Data in Power Bl
  • Get Live Website Data in Power BI
  • Get Email Data in Power BI
  • Get Google Forms(Google Sheets) Data in Power Bl
  • Get Power Bl Datasets
  • SharePoint in Power Bl
  • Get JSON Files in Power Bl
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Power BI Training Course Syllabus

  • Introduction to Power BI
  • Data Loading & Cleaning
  • Creating Power BI Reports
  • Visualizations & Dashboards
  • Data Modeling & DAX
  • Power BI Service & Sharing

Companies our Students work In

Our students have secured positions in top companies across various industries. From tech giants to startups, they are making an impact in organizations like Google, Microsoft, TCS, Infosys, and more.

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Why Choose Xplore

  • Expert Trainers with Industry Experience
  • Comprehensive and Job-Oriented Courses
  • State-of-the-Art Learning Infrastructure
  • Dedicated Placement Support and Guidance
  • Flexible Online and Offline Classes
  • Proven Success with Top Recruiters

Power BI
Certication Benefits

  • Opens doors to high-paying data analytics roles.
  • Analyze data effectively for better business insights.
  • Boosts your credibility in the field of data analytics.
  • Command higher salaries and better job offers.
  • Gain practical skills to handle real-world data analysis.

Projects Done by our students

Sales Performance Dashboard

create a simple sales dashboard in Power BI to visualize sales data. The goal is to get familiar with Power BI’s data import, transformation, and basic visualization capabilities, focusing on building a simple yet informative power bi dashboard.

Customer Demographics

This project will guide students in creating a dashboard in Power BI that displays customer demographics and segmentation. It will help students learn how to filter, aggregate, and present demographic data effectively in a power bi dashboard.

Monthly Revenue Analysis

Students will design a basic revenue tracking dashboard, focusing on monthly revenue trends and performance. This project will help them understand the basics of time-series analysis and charting in Power BI, culminating in an insightful power bi dashboard.

Interactive Sales and Profit

In this intermediate-level project, students will create an interactive sales and profit dashboard in Power BI, utilizing slicers and drill-throughs to provide a deeper analysis of sales data. The dashboard in Power BI will be designed to track both sales and profitability across various regions.

Inventory Management

This project will require students to create a dashboard in Power BI to track inventory levels, product movements, and restocking needs. Students will learn how to handle inventory data and use Power BI's advanced features to create a functional and efficient power bi dashboard.

Sales Funnel and Conversion Rate

Students will work on a project to visualize the sales funnel and conversion rates using Power BI. The power bi dashboard will include visualizations for lead generation, conversions, and overall sales performance across different stages of the sales cycle.

Financial Forecasting

This advanced project will focus on using historical data to build financial forecasting models in Power BI. Students will leverage Power BI's forecasting features and advanced DAX calculations to create a dynamic power bi dashboard for financial analysis.

Data Monitoring

In this project, students will create a real-time data monitoring dashboard in Power BI that pulls live data from external sources. The power bi dashboard will provide updates on metrics like website traffic or server performance, requiring advanced integration with APIs and data sources.

Customer Sentiment Analysis

This project will involve building a dashboard in Power BI that visualizes customer sentiment analysis results. Students will integrate textual data analysis from sources like social media or customer reviews and use Power BI's data modeling and visualization tools to display the sentiment analysis results

You can work as:

  • Power BI Developer
  • Data Analyst
  • Business Intelligence Developer
  • Data Visualization Specialist
  • Reporting Analyst
  • Business Intelligence Consultant

Salary package For each Role:

  • Power BI Developer -------------- 5.5 LPA to 7 LPA
  • Data Analyst --------------------- 4 LPA to 8 LPA
  • Business Intelligence Analyst ---- 6.5 LPA to 8.5 LPA
  • Reporting Analyst ----------------- 4 LPA to 8 LPA
  • Data Visualization Specialist -------- 5 LPA to 1LPA
  • Business Intelligence Consultant ---- LPA to 20 LPA