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Live Online Class Beginner

Introduction to Power BI

3(7)
41 enrolled
1900 views
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1 hr
Jan 24, 2025 · 3:30 PM
English
1900 views
hardik mehta
hardik mehtaProject control Lead
Oil & Gas UpstreamPharmaceutical & Healthcare
  • Session recordings included
  • Foundational Learning
  • Access to Study Materials
  • Self-Paced Learning

Why enroll

Beginner-Friendly Learning: This course is designed for participants with little to no prior experience in Power BI, making it an ideal starting point to learn data visualization and analytics.

 Practical Hands-On Training: Gain real-world experience by working on practical exercises, case studies, and projects to build confidence in using Power BI tools.

 In-Demand Skill Development: Power BI is one of the most sought-after tools in business intelligence, offering a competitive edge in the job market.

 Comprehensive Curriculum: Learn everything from data preparation and modeling to creating professional dashboards, all in one course.

 Industry-Relevant Knowledge: Understand how to apply Power BI for data-driven decision-making in various industries, including finance, marketing, and operations.

 Improved Career Opportunities: Enhance your resume with a valuable skill that can lead to roles such as Business Analyst, Data Analyst, or BI Developer.

Expert Guidance: Benefit from expert instructors who bring both technical expertise and real-world experience.

 Interactive and Flexible Learning: Participate in live sessions and have access to course material for revisiting topics as needed.

Certification Advantage: Receive a course completion certificate to validate your new skills and enhance your professional profile.

 Transform Data into Insights: Learn how to convert raw data into actionable insights to make informed business decisions and drive growth.

 Joining this course is a step toward becoming proficient in one of the leading BI tools, empowering participants to thrive in today’s data-driven world.

Your instructor

hardik mehta

hardik mehta

Project Control Lead

Project control Lead

17+ yrs experience·India

2Courses
51Learners
3.7Avg rating

Is this course for you?

You should take this if

  • You work in Oil & Gas Upstream or Pharmaceutical & Healthcare
  • You're a Chemical & Process / Mechanical Engineering professional
  • You prefer live, instructor-led training with Q&A

You should skip if

  • You need a different specialisation outside Chemical & Process
  • You need fully self-paced, on-demand content

Course details

The objective of this course is to equip participants with the foundational knowledge and practical skills to effectively use Power BI for data visualization and analysis. By the end of the course, learners will be able to:

 

1. Understand the core features and functionalities of Power BI.

2. Connect to various data sources and transform data for analysis.

3. Create interactive dashboards and reports to visualize data insights.

4. Apply data modeling techniques for accurate and meaningful analytics.

5. Share and collaborate on Power BI reports for enhanced decision-making.

This course aims to empower learners with the confidence to harness the full potential of Power BI for business intelligence and data-driven decision-making.

Course suitable for

Opportunities that await you!

Skills & tools you'll gain

Power BI

Career opportunities

Training details

This is a live course that has a scheduled start date.

Live session

Started

Fri, Jan 24, 2025 Ended

3:30 PM UTC· your timezone

Duration

1 hour per day

✎ Where this fits — what comes before, what comes next
Introduction to Power BI Online Course on Stress… Piping Materials Engine… Process Safety vs Occup…

Why people choose EveryEng

Industry-aligned courses, expert training, hands-on learning, recognized certifications, and job opportunities-all in a flexible and supportive environment.

COMPLETED

Jan 24, 2025 · 3:30 PM

Questions and Answers

A: Pick the wrong move and you end up chasing phantom performance issues while measures quietly break, delaying sign-off. Changing data type early reduces cardinality and compression cost, but it forces a model refresh and measure check so calculations don't misbehave.

A: Use the wrong visual and trends flatten or distort, leading to bad calls in review meetings. A line chart maintains temporal continuity so changes between months are visible without forcing the reader to decode categories.

A: Misjudging this leads to unauthorized data exposure and audit findings. Filters must propagate through relationships or be explicitly applied, otherwise totals can still summarize restricted rows.

A: Guessing joins from visuals wastes hours and risks wrong assumptions in changes. Model view exposes the actual relationship definitions so you can assess impact before touching measures.

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