Data Analysis & Visualization with Power BI

Data Analysis & Visualization with Power BI

Tanggal
28-29 August 2025
29-30 September 2025
30-31 October 2025
27-28 November 2025
29-30 December 2025

Waktu
09.00-16.00 wib

Tempat
Hotel Ibis Styels Simatupang
Cilandak, Jakarta Selatan

Outline Training

1. Introduction to Power BI Desktop
2. Data Preparation
3. Data Modeling
4. Data Analysis Expressions (DAX)
5. Data Visualization
6. Artificial Intelligence with Power BI
7. Data Analysis

Note:

1. Contact us for details of syllabus & investment fee
2. Please bring your own Laptop with Microsoft Excel minimal 2019 installed.

Investasi
IDR 5.5 Juta/ Peserta

What is Power BI?
Power BI is a suite of business analytics tools, which includes both desktop (Power BI Desktop) and web-based (Power BI Service) applications, which:

1. Deliver insights throughout your organization
2. Connect to hundreds of data sources
3. Simplify data prep and drive ad hoc analysis
4. Produce beautiful reports, then publish them on the web and across mobile devices
5. Scale across the enterprise, with security and governance built-in

Power BI is the industry leader among BI platforms.

Note: For more detailed information, please visit powerbi.microsoft.com.

Power BI Training Road Map

• Part 1: Power BI Desktop
• Part 2: Power BI Service
• Part 3: Advanced Dax
• Part 4: PL-3000 Exam Prep

Part 1 Power BI Desktop
What You Learn in This Course
By the end of this 3-day Data Analysis with Power BI course, participants will be able to use Power BI Desktop to:

Prepare Data:

• Use Power Query editor to connect to source data; clean, shape, and transform tables; edit, merge and append queries; load data, etc.

Model Data:

• Build relational data models, create table relationships, understand cardinality, explore filter flow, etc.
• Use DAX functions, add calculated columns and measures, write DAX formulas for business metrics, etc.

Visualize Data:

• Use various types of charts and visuals, customize formats, edit interactions, apply filters, slicers, drill-through, bookmarks, etc.

Analyse Data:

• Use Power BI analytical capabilities, including AI visuals, i.e. Q & A, smart narrative, key influencer, forecast, decomposition tree, anomaly detection, etc., to analyse data and gain actionable insights.