Power BI Training Course
Edukators offers a top-tier Power BI course in Coimbatore, designed for individuals aiming to master data visualization and analysis. This comprehensive program provides hands-on training with expert instructors, ensuring students gain practical skills and industry knowledge. Whether you're a beginner or looking to enhance your data analysis capabilities, Edukators' Power BI course equips you with the tools and techniques needed to excel. Join us in Coimbatore and take a significant step towards advancing your career in the data-driven world.
Description
About Power BI Training Course in Edukators
Edukators’ Power BI Training course in Coimbatore is meticulously crafted to empower participants with essential skills in data visualization and analysis. Therefore, our program stands out for its hands-on approach and expert guidance. However, whether you’re new to Power BI or seeking to deepen your analytical expertise, our course offers a comprehensive learning experience tailored to meet industry demands. In addition, after mastering foundational concepts, participants delve into advanced techniques. For instance, join us at Edukators to harness the full potential of Power BI and advance your career in data analytics. Above all, our commitment ensures you’re well-prepared for the challenges and opportunities in today’s data-driven world.
Know About our Power BI Training Course Trainers
At Edukators, our Power BI course trainers are industry veterans with extensive experience in data analytics and visualization. Therefore, they bring a wealth of practical knowledge and real-world insights to the classroom. In addition, their expertise allows them to deliver hands-on training that prepares students to tackle complex data challenges effectively. For instance, after that, our trainers are committed to providing personalized guidance and support to ensure each participant gains a deep understanding of Power BI’s capabilities. Above all, their dedication and industry know-how make Edukators’ Power BI training course a valuable investment for anyone looking to excel in data-driven environments.
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Course Details
- What is Script?
- What is a program?
- Types of Scripts
- Difference between Script & Programming Languages
- Features of Scripting
- Limitation of Scripting
- Types of programming Language Paradigms
- Python Overview
- History of Python & Python Versions
- Python Features
- Types of python - CPython, jPython, PyPy
- Area of application of python
- Why do we need python?
- How python script works
- Python 2.7 and Python 3 difference
- What is PSF?
- What is pip? and how to use?
- What is IDE?
- Environment setup - Installation of Python
- Writing first script in python
- Interactive and Script Mode programming
- Compiler and interpreter difference
- How to make executable python file?
- What is syntax?
- What is variable?
- What is identifiers?
- What is keywords?
- What is comment and its types?
- Usage of Quatations
- How to use help and dir functions?
- Static typing and dynamic typing
- What is data type?
- String
- Integers
- List
- Tuple
- Dictionary
- Set & Frozen set
- Boolean data type
- Built in function of data types
- Mutable and immutable
- Arithmetic operators
- Comparison operators
- Assignment Operators
- Logical Operators
- Bitwise Operators
- Membership Operators
- Identity Operators
- Arithmetic Operators
- Ternary operator & nested ternary operator
- Grouping Statements: Indentation and Blocks
- If statement
- if else statement
- elif statement
- nested if, if else, elif statement
- one line if statement
- pass keyword
- for loop with else
- while loop with else
- continue and break
- range and xrange difference
- list, tuple, dict comprehension
- Built in function
- User defined function
- Nested function
- Recursive function
- *args and **kwargs function
- Global and nonlocal keywords usage
- Lambda function
- Reduce, map, filter functions
- Python closure
- Decorators
- Chaining Decorators
- Python Generators
- File handling in python
- Type of modes in file
- Example for writing a file
- Example for reading a file
- Example for reading and writing a image file
- What is exception?
- Try and Except Statement - Catching Exceptions
- Python Exceptions List
- Assertions in Python
- Try with Else Clause
- Finally Keyword in Python
- User-Defined Exceptions
- Handling multiple exception
- What is Modular Programming?
- What are Modules in Python?
- How to Import Modules in Python?
- Python import Statement
- Importing and also Renaming
- Python from...import Statement
- Locating Path of Modules
- Namespaces and Scoping
- Basic module writing example
- OOPs and Principles of object-oriented programming
- Object-oriented vs Procedure-oriented Programming languages
- Class
- Method
- Attributes types
- Object
- Parameter and Attributes difference
- Inheritance
- Polymorphism
- Encapsulation
- Abstraction
- Composition
- Introduction to Databases
- SQL Syntax and Conventions
- Basic Data Types
- Commenting in SQL
- Database Management Systems (DBMS)
- SELECT Statements
- Filtering Data with WHERE
- Sorting Data with ORDER BY
- Limiting Data with LIMIT or TOP
- Aliases (AS keyword for columns and tables)
- JOIN Operations (INNER, LEFT, RIGHT, FULL)
- Using Aliases
- Combining Data Sets with UNION and UNION ALL
- Subqueries and Nested Queries
- Working with Views
- Aggregate Functions (SUM, AVG, COUNT, MIN, MAX)
- Grouping Data with GROUP BY
- Filtering Groups with HAVING
- DISTINCT Keyword
- Aggregate Functions with DISTINCT
- Inserting Data with INSERT INTO
- Updating Data with UPDATE
- Deleting Data with DELETE
- Using MERGE for Upserts
- Transactions (BEGIN, COMMIT, ROLLBACK)
- String Functions (CONCAT, SUBSTRING, LENGTH)
- Date and Time Functions (NOW, DATEADD, DATEDIFF)
- Numeric Functions (ROUND, CEIL, FLOOR)
- Case Statements and Conditional Logic
- Window Functions (ROW_NUMBER, RANK, DENSE_RANK)
- Database Schema Design
- Normal Forms and Normalization (1NF, 2NF, 3NF, BCNF)
- Relationships and Foreign Keys
- Entity-Relationship Diagrams (ERDs)
- Indexing Strategies
- Creating and Using Indexes
- Query Optimization Techniques
- Understanding Execution Plans
- Analyzing and Resolving Performance Bottlenecks
- Using Hints to Influence Query Plans
- Establishing Connections to SQL Databases
- Importing Data from SQL Databases
- DirectQuery vs. Import Mode
- Scheduling Data Refreshes
- Managing Data Source Credentials
- Writing SQL Queries in Power BI
- Using Parameters in SQL Queries
- Managing Relationships in Power BI
- Combining SQL Queries with M Language
- Creating Custom Tables with SQL Queries
- What is Power BI?
- Power BI Components and Architecture
- Power BI Desktop vs. Power BI Service vs. Power BI Mobile
- Installing and Setting Up Power BI Desktop
- Power BI Interface Overview
- Connecting to Data Sources
- Importing Data from Excel, CSV, SQL Server, and Web
- Data Transformation and Shaping with Power Query Editor
- Understanding Data Models
- Creating and Managing Relationships between Tables
- Data Normalization and Denormalization
- Creating Calculated Columns and Measures
- Introduction to DAX (Data Analysis Expressions)
- Basics of DAX Syntax and Functions
- Common DAX Functions (SUM, AVERAGE, COUNT, DISTINCTCOUNT)
- Time Intelligence Functions (DATEADD, DATESYTD, SAMEPERIODLASTYEAR)
- Logical Functions (IF, SWITCH)
- Text Functions (CONCATENATE, LEFT, RIGHT)
- Advanced DAX Functions (CALCULATE, FILTER, ALL, ALLEXCEPT)
- Introduction to Visualizations
- Creating Basic Charts (Bar, Column, Line, Pie)
- Using Slicers and Filters
- Creating and Formatting Tables and Matrix Visuals
- Customizing Visuals (Colors, Labels, Titles, Tooltips)
- Creating and Using Bookmarks
- Creating Advanced Charts (Scatter, Waterfall, Funnel, Gauge)
- Using Custom Visuals from the Power BI Marketplace
- Conditional Formatting in Visuals
- Using R and Python Visuals
- Drillthrough and Cross-Report Drillthrough
- Designing Interactive Reports
- Using Themes and Templates
- Creating and Managing Dashboards in Power BI Service
- Pinning Visuals to Dashboards
- Creating Dashboard Tiles and Widgets
- Publishing Reports to Power BI Service
- Sharing Reports and Dashboards
- Workspaces, Apps, and App Workspaces
- Creating and Managing Dataflows
- Power BI Pro vs. Power BI Premium
- Installing Power BI Mobile App
- Viewing and Interacting with Reports on Mobile
- Creating Mobile-Optimized Reports
- Understanding Data Refresh in Power BI
- Configuring Scheduled Refresh
- Using Personal and Enterprise Gateways
- Handling Data Refresh Failures
- Introduction to Row-Level Security
- Creating and Managing Roles
- Implementing RLS in Power BI Desktop
- Testing and Validating RLS
- Overview of Power BI Administration
- Managing Users and Permissions
- Admin Portal and Tenant Settings
- Monitoring and Auditing Power BI Usage
- Power BI Governance and Best Practices
- Introduction to Power Query Editor
- Data Transformation Techniques
- M Language Basics
- Using Parameters in Power Query
- Advanced Data Shaping (Merging, Appending, Grouping)
- Integrating Power BI with Excel
- Using Power BI REST API
- Embedding Power BI Reports in Applications
- Integrating Power BI with Microsoft Teams and SharePoint
- Performing Advanced Analytics with Power BI
- Integrating with Azure Machine Learning
- Using Cognitive Services in Power BI
- Creating Predictive Models with Power BI
- Performing Advanced Analytics with Power BI
- Integrating with Azure Machine Learning
- Using Cognitive Services in Power BI
- Creating Predictive Models with Power BI
- Best Practices for Data Model Optimization
- Improving DAX Performance
- Optimizing Data Refresh
- Reducing Report and Dashboard Load Times
- Introduction to Power BI Custom Visuals
- Developing Custom Visuals with TypeScript and D3.js
- Packaging and Deploying Custom Visuals
Benefit of taking our Power BI Training Course
Taking a Power BI course or Power BI online training with Edukators offers numerous benefits. Our courses are designed and delivered by industry experts,because ensuring that students receive top-notch training that is relevant, practical, and up-to-date with the latest trends and technologies in Power BI . With hands-on exercises, real-world simulations, and access to cutting-edge tools and resources, students gain valuable skills and knowledge to protect digital assets effectively. Additionally, our flexible learning options, including online courses and in-person workshops, cater to diverse schedules and learning preferences. Moreover, Edukators’ certifications are recognized globally, enhancing career prospects and credibility in the Power BI field. Because overall, choosing Edukators for Power BI training provides an unparalleled opportunity to acquire essential skills, advance careers, and stay ahead in today’s rapidly evolving digital landscape. Get certified with our Power BI course online, offering comprehensive training and Power BI certification
Job Opportunities for Power BI Course
Job Opportunities for Power BI Course
Completing a Power BI course can lead to diverse career opportunities in the dynamic field of data analytics and business intelligence. Graduates can pursue roles such as
Data Analysts
Business Intelligence Developers
Data Visualization Specialists
Data Scientists
Business Analysts
Data Engineer
Requirements
FAQ about Power BI Training Course at Edukators
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FreeDBHPS Training
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