Data Analysis and Visualization using Microsoft Power BI

5 months ago Posted By : User Ref No: WURUR206924 0
  • Image
  • TypeWorkshop
  • Image
  • Location Nairobi, Kenya
  • Price
  • Date 03-03-2025 - 07-03-2025
Data Analysis and Visualization using Microsoft Power BI, Nairobi, Kenya
Workshop Title
Data Analysis and Visualization using Microsoft Power BI
Event Type
Workshop
Workshop Date
03-03-2025 to 07-03-2025
Last Date for Applying
24-02-2025
Location
Nairobi, Kenya
Organization Name / Organize By
Perk Group Africa
Organizing/Related Departments
Training and Development Department
Organization Type
Organization
WorkshopCategory
Technical
WorkshopLevel
All (State/Province/Region, National & International)
Related Industries

Education/Teaching/Training/Development

Computer Science

Information Technology

Computer/Technology

Location
Nairobi, Kenya

Sign Up: Here

Course Overview

The Data Analysis and Visualization using Microsoft Power BI course is designed to introduce participants to Microsoft Power BI, from the basics of operating the tools, through to advanced data analysis and visualization techniques. Participants will have a comprehensive understanding of Microsoft Power BI for data analysis and visualization, enabling them to create compelling reports and dashboards for effective decision-making.

Target Audience
This is an introductory-level course suitable for professionals seeking to leverage Microsoft Power BI for comprehensive data analysis and visualization. Prior familiarity with data concepts and analysis tools is recommended to maximize learning and application during the course.

Course Objectives:

At the end of this Data Analysis and Visualization using Microsoft Power BI training course participants will be able to:

  • Understand the core concepts and components of Power BI.
  • Connect to different data sources and import data into Power BI.
  • Perform data transformation and data shaping tasks.
  • Create interactive and visually appealing reports and dashboards.
  • Apply advanced analytics techniques using DAX (Data Analysis Expressions).
  • Collaborate and share insights with others in the organization.
  • Implement data governance and security measures within Power BI.

Requirements

  • Microsoft Power BI Desktop
  • This course is designed for PC/Windows users (currently not available for Mac)

Course Duration: 5 days

Course Outline

Module 1: Introduction to Power BI and Data Sources

  • Components of Power BI
  • Features of Power BI
  • Power BI workflow
  • Self-Service ETL (Extract Transform Load)
  • Setup and Configuration of Power BI
  • Excel
  • Online sources (Google Sheets, Kobo Toolbox, ONA, SurveyCTO, DHIS)
  • Databases (PostgreSQL, MySQL, Microsoft SQL Server)

Module2: Data Transformation and Cleaning

  • Using first Rows as Headers
  • Rename fields & Replacing data values in cells, rows
  • Changing data types & Change order of columns
  • Un-pivoting Columns
  • Grouping and splitting column into multiple
  • Extract feature (before /after delimiter)
  • Adding new columns
  • Filters and Parameters
  • View Native Queries vs Unfold Queries

Module 3: Modelling and Table Relationship

  • Table relationship (One to One, One to many, Many to many)
  • Introduction to Data Analysis Expression (DAX)
  • Measures and calculated Column
  • Row Context Vs Filter Context

Module 4: DAX Functions

  • Aggregate Functions
  • Date and Time Functions
  • Time Intelligence Functions
  • Filter Functions
  • Relationship/Navigation Functions
  • Logical Functions
  • Text Functions

Module 5: Visualization and Charts (Power View)

  • Stacked Bar chart and Stacked Column chart
  • Clustered Bar chart and Clustered Column chart
  • Line chart & Area Chart
  • Line and Clustered Column Chart
  • Line and Stacked Column Chart
  • Ribbon & Waterfall chart
  • Funnel & Tree Map visuals
  • Pie chart and doughnut Chart
  • Table chart and Matrix Chart
  • Slicer, Gauge, Card visuals
  • Map and Filled map
  • KPI
  • Q &A visual
  • Fine tune your visualization using Parameters and Slicers
  • Deciding on when to use a particular visual

Module 6: Building and Sharing a Dashboard

  • Workspace
  • Datasets
  • Reports
  • Create Dashboard
  • Modify and update Dashboard
  • Share your Dashboard
  • Power Q&A and Insights
  • Configuring Row level security
  • Setting up user roles

Module 7: Power BI for Mobile

  • Configuring Power BI for Mobile
  • Visualize dashboards and report on Power BI Mobile
  • Commenting on reports and dashboards in Power BI Mobile
  • Excel Power BI
  • Power Query and Power Pivot on Excel
  • Visualize and Edit Power BI reports using excel analyzer
  • Building reports on Excel and Publishing to Power BI service

Note: This course outline provides a general structure for a 5-day training program on Data Analysis and Visualization using Microsoft Power BI. The specific content, activities, and duration of each session may be adjusted based on the target audience, learning objectives, and available time.

Contacts

Monica C. | Training Coordinator

Cell / WhatsApp: +254 712 028 449

Email:[email protected]

Website:perk-gafrica.com

Others Details

Participants will receive a Certificate of Completion showcasing their ability to analyze data and create compelling dashboards using Microsoft Power BI. Additionally, they will have lifetime access to course materials and be invited to our exclusive alumni network for continued growth and collaboration.

Registration Fees
Available
Registration Fees Details
It's a 5 day training: USD 1050 per course/person. Enroll 3 or more participants and enjoy significant discounts on our training programs. NB: The training fee includes tuition fee, two tea refreshments and lunch during the training
Registration Ways
Email
Website
Address/Venue
Best Western Meridian  Kikuyu Town, Nairobi – Kenya  Pin/Zip Code : Muguku Business Centre, J4
Landmark
Kikuyu General Hospital
Official Email ID
Contact
Perk Group Africa

Kikuyu Town, Nairobi – Kenya

[email protected]

   (+254) 712 028 449
SI NO Filename Download
1 Fun Fact Download