We offer a comprehensive 3-month Power BI training course designed to equip participants with advanced skills in data visualization, business intelligence, and analytics. The course covers foundational concepts of Power BI, including data import, transformation, and modeling, along with creating interactive dashboards, reports, and KPIs. Participants explore advanced features such as DAX (Data Analysis Expressions), Power Query, custom visuals, and data connectivity with multiple sources. Practical, hands-on experience is gained through real-world business analytics projects, labs, and simulations, enabling learners to confidently turn raw data into actionable insights. Located in Nagercoil, Logos Technologies is Tamil Nadu’s premier IT training institute, renowned for its commitment to providing high-quality Power BI training that prepares participants for careers in business analytics, data science, and decision-making roles across various industries.
01
Understanding the purpose and goals of Power BI Desktop
Learning outcomes for the Power BI course
Prerequisites and expectations
2
What is Power BI Desktop
Power BI ecosystem components
Power BI Desktop interface overview
Key features and capabilities
3
Benefits of using Power BI for business intelligence
Power BI advantages over other BI tools
Use cases and business applications
Cost-effectiveness and scalability
4
Comparison of Excel and Power BI capabilities
Data volume and performance differences
Visualization and analysis features comparison
When to use Excel vs Power BI
5
System requirements for Power BI Desktop
Download and installation process
Initial setup and configuration
Troubleshooting installation issues
6
Global options and preferences
Data load settings
Security and privacy configurations
Regional settings and localization options
7
End-to-end Power BI development process
Data preparation to report creation workflow
Best practices for Power BI projects
Collaboration and sharing workflow
8
Master data connection techniques
Learn data transformation methods
Understand Power Query Editor functionality
9
Understanding front-end and back-end data processing
ETL vs ELT concepts in Power BI
Performance implications of data processing location
10
File-based connectors (Excel, CSV, JSON, XML, PDF)
Database connectors (SQL Server, Oracle, MySQL, Access)
Cloud service connectors (Azure, AWS, SharePoint)
Web and API connectors
Other specialized connectors
11
Power Query Editor interface overview
Navigation and workspace organization
Query steps and applied steps panel
Formula bar and expression editing
12
Essential tools and functions in Power Query
Column operations and transformations
Data type detection and conversion
Remove, sort, and filter operations
13
Promoting headers and using first row as headers
Removing duplicates and unnecessary rows
Transposing tables
Basic data cleaning operations
14
Import mode characteristics and limitations
DirectQuery mode features and constraints
Live connection mode overview
Choosing the appropriate connection mode
15
Database connection setup
Connection string configuration
Authentication methods
SQL query customization
16
Web data source connection methods
HTML table extraction techniques
Web scraping best practices
Handling dynamic web content
17
Column distribution analysis
Data quality assessment
Identifying data patterns and anomalies
Data profiling tools and techniques
18
Text cleaning and transformation functions
Case conversion and trimming operations
Text splitting and extraction methods
Pattern matching and text manipulation
19
Mathematical operations on numerical data
Rounding and precision control
Statistical calculations
Numerical data formatting
20
Date parsing and format conversion
Date arithmetic and calculations
Extracting date parts (year, month, day)
Time zone handling and adjustments
21
Creating date dimension tables
Calendar table setup and configuration
Fiscal vs calendar year handling
Time intelligence prerequisites
22
Adding index columns to tables
Auto-generated sequence numbers
Custom indexing scenarios
Index column use cases
23
Creating conditional logic in columns
IF-THEN-ELSE statements
Multiple condition handling
Column examples and pattern recognition
24
Group by operations
Aggregation functions (sum, count, average, etc.)
Multiple grouping levels
Custom aggregation scenarios
25
Converting rows to columns (pivoting)
Converting columns to rows (unpivoting)
Dynamic pivoting scenarios
Handling complex pivot operations
26
Join operations between tables
Different join types (inner, outer, left, right)
Join key selection and mapping
Merge performance considerations
27
Combining multiple tables vertically
Union operations on similar tables
Handling different column structures
Append query performance optimization
28
Managing data source connections
Connection string modifications
Credential storage and management
Data source refresh configurations
29
Creating and using parameters
Dynamic data source connections
Parameter validation and constraints
Environment-specific configurations
30
Manual data refresh operations
Scheduled refresh setup
Incremental refresh configuration
Refresh error handling and troubleshooting
31
Understanding data modeling principles
Creating efficient data models
Implementing relationships and hierarchies
32
Data model concepts and importance
Dimensional modeling fundamentals
Model design best practices
Model optimization techniques
33
Normalization principles in data modeling
First, second, and third normal forms
Denormalization for analytical purposes
Balancing normalization with performance
34
Fact table characteristics and design
Dimension table structure and attributes
Identifying facts vs dimensions
Grain and granularity considerations
35
Primary key definition and importance
Foreign key relationships
Composite keys and surrogate keys
Key integrity and uniqueness
36
Benefits of relationships over merged tables
Performance comparison
Maintenance and flexibility considerations
When to use each approach
37
Model view interface and navigation
Visual representation of data model
Table and relationship management
Model layout and organization
38
Manual relationship creation
Automatic relationship detection
Relationship configuration options
Relationship validation and testing
39
Modifying existing relationships
Relationship properties and settings
Deleting and recreating relationships
Troubleshooting relationship issues
40
Star schema design and benefits
Snowflake schema implementation
Choosing between schema types
Schema optimization strategies
41
Understanding active vs inactive relationships
Multiple relationship scenarios
USERELATIONSHIP function usage
Managing relationship activation
42
One-to-one relationship scenarios
One-to-many relationship implementation
Many-to-many relationship handling
Cardinality detection and configuration
43
Multiple fact table scenarios
Bridge tables and connecting dimensions
Fact-to-fact relationships
Complex multi-fact table models
44
Understanding filter context mechanics
Filter propagation through relationships
Row context vs filter context
Context transition concepts
45
Direction of filter propagation
Single-direction vs bi-directional filtering
Filter flow optimization
Controlling filter behavior
46
When to use bi-directional filtering
Bi-directional filter implementation
Performance implications and risks
Alternative solutions
47
Detecting ambiguous relationship paths
Resolving relationship ambiguity
Model design to prevent ambiguity
Testing for ambiguous scenarios
48
Hiding unnecessary tables and columns
Organizing visible fields for users
Field visibility best practices
Impact on report development
49
Organizing model layout for clarity
Grouping related tables
Visual organization techniques
Model documentation strategies
50
Setting appropriate data types
Data category assignments
Format string customization
Default summarization settings
51
Creating natural hierarchies
Hierarchy levels and drill-down behavior
Custom hierarchy implementation
Hierarchy performance considerations
52
Master DAX language fundamentals
Create calculated columns and measures
Understand context and evaluation
Implement advanced DAX patterns
53
Introduction to Data Analysis Expressions (DAX)
DAX language overview and capabilities
DAX vs other analytical languages
DAX learning resources
54
Power Query M language vs DAX comparison
When to use M vs DAX
Processing location differences
Integration between M and DAX
55
Creating calculated columns
Row context in calculated columns
Calculated column performance implications
Best practices for calculated columns
56
Creating and using DAX measures
Measure evaluation context
Aggregation and summarization in measures
Measure organization and management
57
Understanding implicit measures
Converting to explicit measures
Benefits of explicit measure control
Measure management best practices
58
Performance differences
Functionality comparison
When to use calculated columns vs measures
Migration between column and measure types
59
Creating dedicated measure tables
Organizing measures by business area
Measure table best practices
Display folder organization
60
Understanding filter context in DAX
Filter context propagation
Context modification techniques
Complex filtering scenarios
61
DAX evaluation engine mechanics
Formula evaluation process
Context creation and modification
Debugging complex calculations
62
Basic DAX syntax rules
Function structure and parameters
Operator usage and precedence
Code formatting and readability
63
Arithmetic operators (+, -, *, /, ^)
Comparison operators (=, <>, <,>, <=,>=)
Logical operators (&&, ||, NOT)
Text operators and concatenation
64
Aggregation functions overview
Filter functions category
Logical functions group
Text and date function categories
65
Mathematical functions (ROUND, ABS, POWER)
Statistical functions (AVERAGE, MEDIAN, STDEV)
MIN, MAX, and ranking functions
Advanced mathematical calculations
66
COUNT and COUNTA functions
COUNTBLANK and COUNTROWS
DISTINCTCOUNT for unique values
Conditional counting scenarios
67
IF function and conditional logic
AND, OR logical combinations
TRUE, FALSE boolean handling
IFERROR and ISBLANK functions
68
SWITCH function syntax and usage
SWITCH vs nested IF statements
Multiple condition handling
Default value specification
69
CONCATENATE and text joining
LEFT, RIGHT, MID text extraction
FIND, SEARCH pattern matching
Text formatting and manipulation
70
DATE, TIME, DATETIME functions
YEAR, MONTH, DAY extraction
DATEADD, DATEDIFF calculations
Basic date arithmetic
71
RELATED function usage
Navigating relationships with RELATED
RELATEDTABLE for multiple values
Performance considerations
72
CALCULATE function fundamentals
Filter arguments and context modification
CALCULATE vs simple aggregations
Advanced CALCULATE patterns
73
Understanding measure totals in visuals
HASONEVALUE and total calculations
Custom total calculation methods
Avoiding incorrect total values
74
ALL function for removing filters
ALLEXCEPT for selective filter removal
ALLSELECTED for visual context
ALL function family variations
75
FILTER function syntax and usage
Creating filtered table expressions
Complex filter conditions
FILTER vs boolean filtering
76
SUMX, AVERAGEX, and X functions
Row-by-row iteration concepts
Iterator performance considerations
Complex iterator scenarios
77
Time intelligence function overview
Previous period calculations
Year-to-date and period-to-date
Time intelligence best practices
78
Master visualization creation techniques
Design effective dashboards
Implement interactivity and filtering
Optimize user experience
79
Understanding different data types for visualization
Categorical vs numerical data visualization
Time series data representation
Hierarchical data visualization
80
Dashboard design principles
Key performance indicator (KPI) implementation
Dashboard vs report distinctions
User experience considerations
81
Planning and design methodology
Information architecture principles
Visual hierarchy and layout
Color theory and design consistency
82
Report view interface overview
Canvas management and page setup
Visual selection and placement
Report navigation design
83
Chart type selection criteria
Visual formatting options
Data label configuration
Axis and legend customization
84
Visual-level filtering
Page-level filtering
Report-level filtering
Filter hierarchy and interactions
85
Color-based conditional formatting
Data bars and background colors
Icon-based conditional formatting
Rules and field-based formatting
86
Map visualization types
Geographic data requirements
Custom map boundaries
Map formatting and customization
87
Slicer types and configurations
Multi-select and single-select options
Slicer formatting and styling
Responsive slicer design
88
Hierarchy-based navigation
Drill-down configuration
Drill-up functionality
User guidance for drill operations
89
Drill-through page setup
Context passing and filtering
Drill-through button customization
Multi-level drill-through scenarios
90
Visual interaction configuration
Cross-filtering and highlighting
Interaction customization options
Managing visual dependencies
91
Bookmark creation and management
State capture and restoration
Bookmark navigation implementation
Dynamic bookmark scenarios
92
Parameter creation and configuration
Parameter-driven content
Dynamic titles and labels
User input parameter handling
93
Custom tooltip page creation
Tooltip content design
Context-sensitive tooltips
Tooltip performance optimization
94
Custom visual marketplace (AppSource)
Installing and managing custom visuals
Custom visual categories and types
Security and certification considerations
95
Row-level security implementation
Security role definition
Role testing and validation
Dynamic security scenarios
96
Mobile layout designer
Responsive design principles
Mobile-specific optimizations
Touch interaction considerations
97
Implement AI-powered analytics features
Configure intelligent insights
Leverage automated analysis capabilities
98
Automatic anomaly detection setup
Anomaly detection configuration
Interpreting anomaly results
Custom anomaly thresholds
99
Smart narrative configuration
Automatic insight generation
Narrative customization options
Performance considerations
100
Q&A visual implementation
Natural language query setup
Q&A optimization techniques
User training for Q&A usage
101
Teaching Q&A business terminology
Synonym management
Question phrasing optimization
Q&A performance tuning
102
Decomposition tree setup
Influence factor analysis
Tree navigation and interaction
Statistical significance interpretation
103
Key influencers visual configuration
Factor analysis and interpretation
What-if analysis capabilities
Continuous vs categorical analysis
104
Identify and resolve performance issues
Implement optimization best practices
Monitor report and model performance
105
Optimization ribbon overview
Built-in optimization features
Performance monitoring tools
Optimization recommendations
106
Visual pause functionality
Managing visual loading priorities
User experience optimization
Performance impact management
107
Pre-configured optimization settings
Performance preset applications
Custom optimization configurations
Environment-specific optimizations
108
Batch filter application
Reducing query overhead
User experience improvements
Implementation best practices
109
Performance analyzer tool usage
Identifying performance bottlenecks
Query performance analysis
Visual rendering optimization
110
Third-party optimization tools
DAX Studio integration
Tabular Editor usage
Community tools and extensions
Logos Technologies in Nagercoil offers a comprehensive Power BI training and certification program designed to empower learners with the skills to transform raw data into impactful business insights. Perfect for both beginners and experienced analysts, this program covers everything from Power BI fundamentals to advanced data modeling, DAX formulas, interactive dashboards, and data visualization best practices. Led by industry professionals, the course focuses on hands-on projects, enabling participants to work with real datasets and create dynamic, data-driven reports. With its practical, industry-oriented approach, Logos Technologies is the go-to destination for aspiring data professionals, equipping them to excel in analytics and business intelligence roles across multiple sectors.
Logos Technologies, located in the heart of Nagercoil, Tamil Nadu, is a premier institution for IT and business intelligence training. The institute is renowned for delivering high-quality education that aligns with the latest industry requirements. With a strong emphasis on hands-on learning, Logos Technologies ensures students not only understand Power BI concepts but also apply them to real-world data scenarios, making it the perfect choice for those aiming to excel in data analytics and visualization.
Logos Technologies is home to seasoned trainers who are experts in Power BI and business intelligence. These professionals bring real-world analytics experience into the classroom, enabling students to grasp complex topics such as DAX, data modeling, and interactive reporting with clarity. The faculty serves as both instructors and mentors, guiding learners through their certification journey and preparing them to handle practical analytics challenges with confidence.
Students at Logos Technologies benefit from modern infrastructure, including the latest Power BI software, high-performance systems, and access to a variety of real-world datasets. The labs are designed to simulate a professional analytics environment, giving students the tools and experience they need to create powerful, data-driven dashboards and reports for business decision-making.
The Power BI training program at Logos Technologies is meticulously designed to cover all essential areas required for mastering business intelligence using Power BI. The curriculum includes:
Introduction to Power BI: Learn the basics of Power BI, including its interface, workflow, and integration with various data sources.
Data Importing and Cleaning: Understand how to connect to multiple data sources, transform, and prepare data using Power Query Editor.
Data Modeling and Relationships: Master data modeling techniques, creating relationships, hierarchies, and calculated columns for efficient analytics.
DAX (Data Analysis Expressions): Gain proficiency in writing DAX formulas to perform advanced calculations and enhance report functionality.
Interactive Reports and Dashboards: Learn to design engaging, user-friendly dashboards with slicers, filters, and visuals for clear data storytelling.
Publishing and Sharing: Explore how to publish reports to the Power BI Service, collaborate with team members, and manage workspace permissions.
Capstone Projects: Work on real-world datasets to build complete, professional-grade dashboards that demonstrate your analytics skills to potential employers.
Logos Technologies prioritizes practical experience. Students engage in live Power BI projects, transforming raw data into actionable insights and presenting them through interactive dashboards. This exposure ensures they can replicate the same process in professional analytics environments.
To ensure students are well-prepared for Power BI certification exams, Logos Technologies conducts frequent assessments and mock tests. These help evaluate comprehension, reinforce learning, and improve problem-solving speed, with constructive feedback from instructors at every stage.
Dedicated to student success, Logos Technologies offers career counseling, resume enhancement, and interview preparation sessions. The placement cell partners with top organizations to help students secure roles in analytics, reporting, and business intelligence, ensuring a seamless move from training to employment.
A Power BI certification from a reputed institute like Logos Technologies is proof of your expertise in business intelligence and data visualization. It unlocks a variety of career opportunities and gives you a competitive edge in today’s data-driven job market. Here’s why earning a Power BI certification is so valuable:
Industry Recognition: A Power BI certification is widely recognized and validates your ability to turn complex datasets into meaningful insights, a highly sought-after skill in modern industries.
Career Advancement: Whether you are starting in analytics or aiming for senior-level reporting and BI roles, a Power BI certification can significantly boost your career prospects and earning potential.
Foundation for Future Learning: Business intelligence tools are constantly evolving. Certification provides a strong foundation for mastering new features, integrating with other analytics platforms, and progressing to advanced data analytics roles.
By choosing Logos Technologies for your Power BI training, you invest in a program that combines expert-led instruction, practical dashboard-building experience, and dedicated career support. The Power BI certification course equips you with the tools, knowledge, and confidence to excel in the world of business intelligence, setting you on the path to a rewarding and future-proof career.
What is Power BI Training?
Power BI training involves learning how to connect, model, and visualize data using Microsoft Power BI. It covers skills such as creating interactive dashboards, using DAX for calculations, and sharing insights through reports.
What are the Prerequisites for Power BI Training?
No advanced prerequisites are required. A basic understanding of Excel, databases, or data concepts can be helpful, but beginners can start from scratch with introductory modules.
What Topics are Covered in Power BI Courses?
Topics include Power BI interface and navigation, data importing, cleaning with Power Query, data modeling, DAX calculations, creating visuals and dashboards, publishing reports, and real-world projects.
How Long Does a Power BI Course Take?
The duration varies, but a full Power BI training program usually takes 1-3 months, depending on the depth of topics covered and the pace of learning.
What is the Job Market Like After Power BI Certification?
Power BI skills are in high demand across sectors like finance, retail, IT, healthcare, and manufacturing, with roles such as Business Intelligence Analyst, Data Analyst, and Reporting Specialist.
How Can I Find a Reputable Power BI Training Institute in Nagercoil?
Choose an institute with experienced faculty, hands-on projects, up-to-date curriculum, and strong placement support—qualities that Logos Technologies is well known for.
Logos Technologies
J P Complex, Main Road
Kavimani Devi Nagar, Puthery
Nagercoil, Tamil Nadu
Phone Numbers:
Email:
Monday - Saturday: 7:00 AM - 8:00 PM
Sunday: Closed
Batch Timings Available:
Morning | Afternoon | Evening