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MIM1016 – Data Analysis & Visualization with Microsoft Power BI

Description

MIM1016 – Data Analysis & Visualization with Microsoft Power BI

Overview

The Data Analysis & Visualization with Microsoft Power BI program equips participants with in-demand skills in data pre-processing, analysis, and visualization using Microsoft Power BI as the primary analytics tool. This program is designed for professionals who want to transform raw data into meaningful insights that support informed, data-driven decision-making.

Participants will learn how to connect Power BI to multiple data sources, clean and transform datasets, and build interactive visualizations and dashboards that communicate clear and impactful business stories. The program also emphasizes best practices in data visualization design and analytical thinking, enabling participants to interpret trends, uncover insights, and present findings effectively to stakeholders.

  • 93% positive reviews (90)
  • 789 students

This program can be tailored to your specific business needs.

A little bit of personalization goes a long way. Ask us for a no-obligation Training Needs Analysis (TNA) so we can tailor this, or any other CSG program to meet your learning outcomes.

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Objectives

By the end of this program, participants will be able to:

  • Understand the fundamentals of data analytics and Microsoft Power BI
  • Connect to, clean, and transform data from multiple data sources
  • Create dynamic visualizations and interactive dashboards
  • Analyze data to uncover trends, patterns, and business insights
  • Share, publish, and collaborate on Power BI reports effectively

2 Days

  • Professionals involved in data analysis and reporting
  • Business Analysts
  • Executives and Managers who use data for decision-making
  • Operations, Finance, HR, and Sales professionals
  • Individuals interested in developing Power BI and data analytics skills

Modules:

Module 1: Introduction to Power BI and Its Features
  • Overview of Power BI architecture and key components
  • Understanding data visualization concepts and business relevance
  • Exploring Power BI Desktop, Power BI Service, and mobile applications
  • Connecting to various data sources (Excel, CSV, databases, etc.)
  • Managing data models and relationships
  • Cleaning and preparing data using Power Query
  • Using Power Query Editor for data transformation
  • Performing data shaping tasks such as filtering, splitting, and grouping
  • Creating calculated columns and custom measures
  • Building bar charts, line charts, pie charts, and tables
  • Customizing visuals (themes, colors, labels)
  • Using slicers and filters for interactivity
  • Creating advanced visuals such as maps, scatter plots, and KPI indicators
  • Using hierarchies and drill-through features for deeper analysis
  • Designing visuals for storytelling and executive presentations
  • Combining multiple visuals into a single dashboard
  • Using bookmarks, buttons, and tooltips
  • Applying best practices for dashboard usability and layout design
  • Introduction to DAX and its role in Power BI
  • Writing basic DAX formulas for calculations and measures
  • Using common functions such as SUM, AVERAGE, IF, and COUNT

Program Methodology

  • Hands-on Activities: Practical exercises to reinforce theoretical concepts.
  • Group Discussions: Opportunities for peer-to-peer learning and exchange of ideas.
  • Role Plays: Simulations of realistic situations to build practical skills.
  • Feedback Sessions: Reviews and reflections to encourage improvement.
  • Problem-solving Exercises: Develop critical thinking and decision-making skills.
  • Experiential Learning: Learning by doing, promoting active involvement.
  • Interactive Lectures: Engaging presentations by experts in the field.
  • Case Studies: Real-world scenarios for learners to apply their knowledge.
  • Quizzes & Tests: Regular assessments to track learning progress.

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