Business Data Analytics Training in Nepal Overview

In today’s data-driven world, professionals across every industry must be able to collect, clean, analyze, and present data effectively. This 2-day intensive Data Analytics course is designed to equip participants with a comprehensive applied training program designed to develop analytical skills using Microsoft Excel, Power Query, and Power BI.

Course Overview

This 2-day professional training program is designed for individuals and teams looking to strengthen their analytical capability through Intermediate Excel, Power Query, and Power BI. The course follows a structured, practical, and industry-oriented approach, ensuring participants develop hands-on skills required in real-world analytics and reporting tasks.

Participants will learn how to clean, transform, analyze, visualize, and automate reporting workflows using tools that are essential across operations, finance, logistics, HR, marketing, supply chain, and data analytics roles.

Learning Goals

By the end of the 2-day course, participants will be able to:

• Clean, analyze, and prepare data using intermediate Excel functions and tools.
• Build automated dashboards using Excel PivotTables and slicers.
• Use Power Query to extract, transform, and load (ETL) data from multiple sources.
• Construct Power BI data models, develop DAX measures, and design interactive dashboards.
• Publish and share Power BI reports for organizational decision-making.

Modules

Module 1: Intermediate Excel: Data Analysis & Productivity Tools

Topics Covered:

• Data cleaning & preparation
• Lookup formulas: XLOOKUP, INDEX/MATCH
• Logical & text functions
• Date calculations
• Sorting, filtering, tables
• Introduction to charting

Hands-On Activities:

• Clean a messy dataset
• Use lookup formulas to map values
• Build a dynamic chart

Outcome:

• Participants become confident working with messy datasets using intermediate Excel functions.

Module 2: Advanced Excel: PivotTables, Analytics & Dashboards

Topics Covered:

• Pivot Tables & Pivot Charts
• Calculated fields and grouping
• SUMIFS, COUNTIFS, AVERAGEIFS
• Slicers & timelines
• Dashboard design

Hands-On Activities:

• Build a PivotTable-based dashboard
• Create KPIs with conditional formatting

Outcome:

• Participants can create interactive management dashboards in Excel.

Module 3: Power Query for Data Transformation (ETL)

Topics Covered:

• Introduction to Power Query
• Connecting to multiple data sources
• Data profiling & cleaning
• Merge & append operations
• Splitting, grouping, transforming columns
• Intro to M code

Hands-On Activities:

• Combine multiple CSV files
• Perform query merges
• Build reusable transformation steps

Outcome:

• Participants master ETL workflows to automate data preparation.

Module 4: Power BI Fundamentals: Modeling & Visualization

Topics Covered:

• Power BI interface and data modeling
• Creating relationships & star schema
• Visualizing with charts, cards, KPIs
• Basic DAX measures

Hands-On Activities:

• Build a model with multiple tables
• Create interactive visuals
• Add slicers & filters

Outcome:

• Participants develop skills to design clean, functional BI reports.

Module 5: Power BI Advanced Reporting & Deployment

Topics Covered:

• Intermediate DAX (CALCULATE, time intelligence)
• Drill through, bookmarks, buttons
• Dashboard storytelling
• Publishing to Power BI Service
• Scheduled refresh & sharing options

Hands-On Activities:

• Build a multi-page dashboard
• Publish to Power BI workspace

Outcome:

• Participants are capable of building and deploying professional dashboards.

Training Methodology

The training will be face to face, hands-on, practical, and case-based.

Pre-Requisites for the Training Program

To ensure participants can follow the training smoothly, they should meet the following requirements:

1. Basic Computer Skills

Participants should be able to:

• Use Windows confidently
• Manage files and folders
• Install basic software
• Navigate standard applications such as browsers, Office tools, and PDF readers

2. Foundational Excel Knowledge

Participants should already know:

• Basic formulas (SUM, AVERAGE, MIN, MAX)
• Basic chart creation
• Simple table formatting
• Cell references, copy/paste, fill handle
• Basic worksheet navigation

3. Analytical Mindset

Participants should have:

• Interest in working with data
• Ability to interpret business reports
• Motivation to analyze datasets

4. Helpful but Not Mandatory

These skills may support learning but are not required:

• Familiarity with PivotTables
• Experience with structured datasets

System Requirements for the Training Program

Hardware Requirements:

Minimum:

• Processor: Intel i3 or equivalent
• RAM: 8 GB
• Storage: 2 GB free space
• Monitor: 1366×768 resolution
• Operating System: Windows 10 (64-bit)

Recommended:

• Processor: Intel i5/i7 or AMD Ryzen 5/7
• RAM: 16 GB
• Storage: SSD with 4 GB free space
• Monitor: Full HD 1080p or higher
• Operating System: Windows 10/11 (64-bit)

Software Requirements:

• Microsoft Excel 2016 or later (Excel 365 recommended)
• Power Query (built into Excel 2016+)
• Power BI Desktop (latest version)
• Modern browser: Chrome, Edge, Firefox, or Safari
• Internet connection for Power BI Service and updates

Connectivity:

• Stable internet connection (5 Mbps or higher recommended)
• Power BI Account (Free or Pro depending on sharing needs)

Contact Us Today!

For further information reach out to us:

Contact Number: 9801898004 (WhatsApp)

Email: services@frontline.com.np