BI Analyst
BI Analyst
Course Overview
The Business Analyst course at NexGen Pro Academy prepares students to bridge business needs with technology solutions. It covers requirement gathering, data analysis, process modeling, and communication with stakeholders. Students learn tools like Excel, SQL, and Power BI, along with Agile and Waterfall methodologies, using real-world projects for hands-on experience.
Objectives
- Understand the role and responsibilities of a Business Analyst.
- Learn to gather, document, and manage business requirements.
- Develop problem-solving and analytical skills using data.
- Create business process models and diagrams.
- Gain exposure to tools like Excel, SQL, Power BI, and project management frameworks.
Trainer Name
- Sampath
Course Duration
1-2 Months
Course Mode
Online & Offline
Curriculum
1. Introduction to Business Analysis
The Business Analyst course equips learners with the skills to bridge the gap between business needs and technology solutions. It covers key areas such as requirements gathering, data analysis, process modeling, and stakeholder communication. Ideal for aspiring analysts or professionals looking to enhance decision-making and problem-solving abilities, this course prepares students for roles in various industries, ensuring they can effectively analyze business processes and contribute to strategic growth.
2. SQL for Business Analysis
- Introduction to Databases
- Getting Started with SQL
- Basic SQL Commands
- Advanced SQL Techniques
3. CRISP -ML(Q) Methodology
- Step 1: Business and Data Understanding
- Data Understanding
- Step 2: Data Preparation
4. Data Visualization and Power BI
- Data Visualization Introduction and Concepts
- Introduction to Tableau and Tableau Architecture
- Exploring Data using Tableau
- Working with Data using Tableau
- Various Charts in Tableau (Basic to Advanced)
- Hierarchies in Tableau
- Sorting in Tableau
- Filtering in Tableau
- Groups, Sets, and Combined Sets
- Reference Lines, Bands, and Distribution
- Parameters in Tableau
- Forecasting in Tableau
- Data Mining with Tableau
- Calculated Fields and LOD Expressions in Tableau
- Tableau Mapping Features
- Tableau and R Integration
- Interactive Dashboards and Stories in Tableau
- Tableau Certification Orientation
5. Power BI for Business Analysis
Module 1: Introduction to Power BI
– What is Power BI?
– Power BI Interface Overview
– Power BI Roles: Analyst vs Developer
– Installing Power BI Desktop
Module 2: Connecting to Data
– Get Data from Excel, CSV, and Databases
– Understanding Data Types
– Using the Power Query Editor (basic transformations)
– Remove columns
– Rename headers
– Change data types
Module 3: Creating Basic Visuals
– Visual Types: Bar, Column, Line, Pie Charts, Cards, Tables
– Adding and Customizing Visuals
– Using Filters & Slicers
– Visual Interactions (Enable/Disable)
Module 4: Basic Report Design
– Designing a Dashboard Layou
– Using Format Pane
– Adding Titles, Logos, and Tooltips
– Exporting Reports (PDF, CSV)
Module 5: Publishing and Sharing
– Saving as PBIX file
– Introduction to Power BI Service (Cloud)
– Uploading and sharing reports
– Creating Dashboards from Reports
6. Advanced Excel for Business Analysis
- ChatGPT for Excel and Data Analysis
- Statistical Analysis using Excel
- Business Moments and Graphical Techniques
- Excel Basics
- Data Formatting and Basic Charts
- Advanced Excel Functions
- Excel for Data Validation and Analysis
- What-If Analysis Tools
- Excel Macros and VBA
7. Core Python
- Introduction to Core Python
- Data Types and Variables
- Operators
- Control Flow
- Functions
- Data Structures
- Strings
- Exception Handling
- Modules and Packages
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