Power BI Course in Pune with Placement

The prerequisites and helpful skills for individuals interested in learning Power BI course the technical background isn't strictly required, familiarity with Microsoft Excel and basic data concepts like organization and data types are highly beneficial.

If you have the skills such as basic SQL knowledge, data modeling understanding, and familiarity with DAX and data visualization concepts can significantly accelerate the learning process and lead to more advanced use of Power BI.

Eligibility Any Degree - BTech, BSc, BCom, MCOM, BBA, BCA, MCA etc. All IT & Non-IT Branches - CSE, EEE, Civil, Mech, Bio, they should learn Power BI Course. Etc.

No prior coding knowledge is required to learn Power BI Certification Course in Pune.

Data Professionals that is IT Administrators and Professionals Data Analysts, Business Intelligence (BI) professionals, BI Developers/Analysts, Data Scientists, Reporting Specialists, etc.

Business Users and Managers such as Business Analysts, Financial Analysts, Marketing Analysts/Specialists, Sales Managers/Analysts, Operations Managers/Analysts, Project Managers, and Anyone who works with data regularly they should learn Power BI course at Aspire Techsoft Pune.

Some common educational backgrounds that can be advantageous to learn Power BI Certification course include Computer Science, Data Analytics, Business Intelligence, Statistics, Mathematics, Economics, Marketing, and Information Systems.

The numerous benefits of learning Power BI at Aspire Techsoft, emphasizing its high demand in the job market and its ability to open doors to various career paths.

The Power BI as a powerful and versatile tool capable of comprehensive data analysis, advanced visualization, and handling large datasets with AI integration.

Its user-friendly and accessible interface, seamless integration with Microsoft products, and affordability.

Learning Power BI is a strong enabler for promoting data-driven decision-making, which improves efficiency and collaboration within organizations.

Power BI Developer

Business Intelligence (BI) Analyst

Power BI Data Visualization Specialist

Power BI Consultant

Power BI Business Analyst

Financial Analyst

Power BI Marketing Analyst

HR Analytics Specialist

Operations Manager/Analyst

Sales Manager/Analyst

Consulting firms include Deloitte, EY, KPMG, PwC, etc. hire Power BI professionals to work on client projects in a variety of sectors.

Specialty consulting firms such as, many small and mid-sized firms focus on business intelligence, data analytics, and digital transformation. Examples include Decision Foundry, SG Analytics, etc.

Technology consulting: Companies like Accenture, Capgemini, Virtusa, and IBM require Power BI skills for large-scale data projects for clients.

IT and technology firms or Software companies include Microsoft (maker of Power BI), Adobe, SRI, and other software companies that develop business intelligence tools or have strong internal data needs.

Tech giants such as Amazon, Google, and other major tech companies hire data analysts in a variety of departments (e.g., e-commerce, cloud services, advertising).

Product-based companies Myntra (e-commerce), Wipro, Infosys, TCS and other companies that develop and manage their own products often have dedicated data analytics teams.

Financial services include banks such as Kotak Mahindra Bank, Bank of Montreal, etc.

Insurance companies include AmeriLife. Other financial institutions rely heavily on data for risk assessment, fraud detection, market analysis and customer insights.

Fintech companies also have a strong need for data analysts.

In e-commerce and retail, Walmart, Myntra, etc. These companies use Power BI to analyze sales data, customer behavior, and inventory and supply chain performance.

Healthcare and pharmaceuticals include Optum, Novo Nordisk, etc. These companies use Power BI for analyzing patient data, clinical trials, operational efficiency and market trends.

Manufacturing and automotive include Maruti Suzuki, Ford, etc. These companies use Power BI for production optimization, quality control, supply chain management, and sales forecasting.

Companies in other industries, such as telecommunications, media and entertainment, logistics and transportation, human resources, real estate, non-profit organizations, etc., are increasingly using Power BI data to measure impact and optimize operations.

Introduction to Power BI

• Overview of Power BI and its components

• Power BI service vs. Power BI Desktop

• Benefits of using Power BI for data analytics

• Key features and capabilities of Power BI

• Understanding the Power BI ecosystem

• User interface and navigation

• Basic concepts and terminology in Power BI

Installation of Power BI Desktop

• System requirements for Power BI Desktop

• Step-by-step installation guide

• Initial setup and configuration

• Updating Power BI Desktop

• Troubleshooting common installation issues

• Licensing and subscription options

• Importing sample datasets for practice

Connecting Power BI with Other Sources

• Supported data sources in Power BI

• Connecting to databases, cloud services, and files

• Data import methods and best practices

• Managing data connections

• Data refresh and scheduling

• Handling data privacy and security

• Using Power BI gateways

Basic Visualization in Power BI

• Types of visualizations available in Power BI

• Creating basic charts and graphs

• Customizing visualizations (colors, labels, titles)

• Using slicers and filters

• Creating and managing dashboards

• Adding interactivity to visualizations

• Publishing and sharing reports

Advanced Visualization in Power BI

• Using advanced chart types (waterfall, funnel, gauge)

• Creating and using bookmarks

• Implementing drill-through functionality

• Using custom visuals from the marketplace

• Creating dynamic visualizations with DAX

• Advanced interactivity techniques

• Combining multiple visualizations in a single report

Advanced DAX

• Introduction to DAX: Calculated Columns, Measures, and Tables

• Time Intelligence Functions

• Filtering Functions

• Advanced Calculations and Complex DAX Queries

• Optimizing DAX Queries for Performance

• Practical Applications of DAX in Data Models

Introduction to Power Query

• Overview of Power Query and its interface

• Connecting to various data sources

• Understanding the M language

• Basic data import and transformation

• Using the query editor for data preparation

• Managing and combining queries

• Best practices for efficient data queries