"The Power BI Placement Course at Techin IT is a specialized, job-focused training program designed to equip learners with in-demand data visualization and business intelligence skills using Microsoft Power BI. This course covers the full data analytics workflow—from connecting to various data sources and transforming data in Power Query to building interactive dashboards and reports using DAX (Data Analysis Expressions). Learners gain hands-on experience with real-world datasets and business case scenarios, enabling them to extract insights, create powerful visuals, and make data-driven decisions.
In addition to technical training, the course includes aptitude development, resume building, interview preparation, and soft skills training to ensure complete industry readiness. Students learn to present data confidently and solve business problems through clear, compelling visual storytelling. Guided by expert instructors and supported with 1:1 mentorship and guaranteed placement assistance, this course is ideal for graduates and professionals aiming to launch or shift their careers into data analytics and business intelligence roles.".
The Power BI Placement Course at Techin IT is designed to help you build job-ready skills in data visualization and business intelligence, aligned with industry demands. Through a practical and structured curriculum, you’ll learn how to connect, transform, model, and visualize data using Microsoft Power BI. The course enables you to turn raw data into meaningful insights and compelling dashboards that support data-driven business decisions. With real-world case studies, hands-on projects, and placement support, this course prepares you for roles in analytics and reporting across various industries.
At TechIn IT, we proudly assure that every Trainee who successfully completes our program will be awarded a certificate. We are officially associated with APSCHE, AICTE, MSME, Skill India, IAF, and NASSCOM. The certification will reflect the Trainees dedication and skill development, recognized under national-level standards .
Connecting to data sources: Excel, SQL, CSV, Web, etc.
Cleaning and shaping data using Power Query Editor
Using the M language for advanced data transformation
Handling nulls, duplicates, and column/row manipulation
Creating data models and establishing relationships between tables
Understanding and implementing star and snowflake schemas
Writing DAX formulas for calculated columns, measures, and KPIs
Time intelligence functions for date-based analysis (YTD, MTD, etc.)
Designing interactive dashboards and visual report
Using visuals like bar charts, slicers, maps, cards, and matrices
Applying filters, bookmarks, and drill-through features
Publishing and sharing reports through Power BI Service and Workspace