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Power BI [for Data Science]

Course Overview

The Power BI [for Data Science] course at Naresh IT is designed to help learners transform raw data into meaningful insights using industry-leading data visualization tools. This course focuses on building strong skills in data analysis, dashboard creation, and business intelligence reporting using Microsoft Power BI. Learners will understand how Power BI supports data-driven decision-making in real-world data science projects. With a practical and hands-on approach, the course enables learners to analyze large datasets, identify patterns, and present insights clearly to stakeholders. It is an ideal program for anyone looking to strengthen their analytical skills and enhance their career in data science and analytics.

Description

This course offers a complete understanding of Power BI as a core tool for Data Science and Analytics. Learners will explore data loading, data transformation using Power Query, data modeling, and visualization techniques. The program covers DAX fundamentals, interactive dashboards, reports, and real-time data analysis.
You will work with structured and semi-structured datasets, connect Power BI to multiple data sources, and create professional-grade reports used in business environments. Practical case studies and real-time examples help learners understand how Power BI is applied in data science workflows. Designed by expert trainers at Naresh IT, this course ensures learners gain hands-on experience and industry-relevant skills required for analytics and data-driven roles.

Course Objectives

The main objective of the Power BI [for Data Science] course is to enable learners to convert complex data into actionable insights.
By the end of this program, learners will be able to:

  • Understand the role of Power BI in data science and analytics

  • Import, clean, and transform data from multiple sources

  • Build efficient data models and relationships

  • Create interactive dashboards and insightful visual reports

  • Apply DAX functions for calculations and performance analysis

  • Identify trends, patterns, and business insights from data

  • Present data-driven stories clearly to technical and non-technical users

  • Prepare for real-world analytics projects and interview scenarios

This course helps learners become confident data analysts with strong visualization and reporting capabilities.

Prerequisites
  • To enroll in the Power BI [for Data Science] course, learners should have a basic understanding of data concepts. Familiarity with Excel, basic statistics, or databases is helpful but not mandatory. No prior experience with Power BI is required, as the course starts from fundamentals and progresses to advanced concepts.
    Basic knowledge of data handling and logical thinking will help learners grasp concepts faster. Programming knowledge is not compulsory, making this course suitable for beginners as well as professionals.
    A willingness to work with data, explore insights, and practice dashboard creation regularly will help learners gain maximum benefit from the course.

Who can learn this course

  • Data Science aspirants

  • Data Analysts and Business Analysts

  • Computer Science & IT students

  • Engineering graduates and freshers

  • Working professionals upgrading analytics skills

  • Excel professionals moving to BI tools

  • Anyone interested in data visualization and reporting

General Certificate (Full Stack Courses)

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Training Features
Comprehensive Curriculum

Master web development with a full-stack curriculum covering front-end, back-end, databases, and more.

Hands-On Projects

Apply skills to real-world projects for practical experience and enhanced learning.

Expert Instructors

Learn from industry experts for insights and guidance in full-stack development.

Job Placement Assistance

Access job placement assistance for career support and employer connections.

Certification upon Completion

Receive a recognized certification validating your full-stack development skills.

24/7 Support

Access round-the-clock support for immediate assistance, ensuring a seamless learning journey.

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