Mastering Power Query in Power BI is essential for transforming, cleansing, and loading data, and at Xplore IT Corp, we provide the ultimate destination for achieving this expertise through our advanced Power Query course. Power Query in Power BI forms the backbone of creating dynamic data models, insightful reports, and dashboards, offering comprehensive coverage of basics and advanced transformations for handling complex datasets. Our Power Query course equips data analysts and business professionals with practical skills to streamline workflows, manipulate data effectively, and enhance analysis capabilities. Guided by expert trainers, you’ll engage in hands-on project work and practical exercises to gain proficiency in Power Query in Power BI. Whether you’re a novice or an experienced individual, this Power Query course ensures your ability to leverage Power BI for data management. Empower your data-driven career aspirations and elevate your role with the essential knowledge and tools provided in our Power Query course at Xplore IT Corp.
Key Features
What I Will Learn in This Course
- Basics of Power Query
- How to Load Data
- How to Clean Data
- How to Create Queries
- How to Transform Data
Benefits of DAX in Power BI
Develop advanced analytical skills
Learn how to develop robust Data Models doing this kind of complex work related to data in DAX.
Hands-on Experience
You get to work on real life projects and get to go through those different real cases.
Learn from the Experts
There will be industry-certified leading experts to teach the course supported by real-time projects and deep theoretical knowledge in the field.
Enhance Career
You can take control of highly enriched roles in the data analysis and business intelligence field and find avenues to landing the assigned jobs.
Flexible learning
The course is customized according to current industry trends and needs.
Certification and job support
Get job placements with a recognized certification.
Syllabus of Python Course
- Programming Fundamentals
- What can Python do?
- Why Python?
- Python Syntax compared to other Programming Languages
- Python Installation
- Compilation and Interpretation
- Path Configuration
- Python Data Structures Data & Types
- String Operations in Python
- Simple Input & Output
- Operators in Python
- Decision Making
- IF-IF ELSE
- Else IF NESTED
- Looping
- FOR-WHILE-NESTED LOOPs
- Create your Function
- User-defined and System defined functions
- Variable Argument
- Scope of Function
- Lambda Function & Map
- Exercise with Functions
- Errors
- Exception handling with try
- Handling Multiple Exceptions
- Writing your Exception
- New Style Classes
- Creating Classes
- Constructor
- Instance Methods
- Inheritance
- Polymorphism
- Abstraction
- Encapsulation
- Exception Classes
- List Comprehensions
- Nested List Comprehensions
- Dictionary Comprehensions
- Tuples
- Iterators
- Generators
- With Statement
- Data Comprehension
- Namedtuple()
- Deque
- Chainmap
- Counter
- Dict and Types
- Introduction
- Components and Events
- An Example GUI
- The root Component
- Widgets
- Buttons
- Introduction
- Hello World
- Major Classes
- Using Qt Designer
- Signals & Slots
- Layout Management
- Basic Widgets
- Drag & Drop
- Database Handling
- Introduction DB Connection
- Creating DB Table
INSERT, READ, UPDATE, DELETE operations - COMMIT & ROLLBACK Operation
- Handling Errors
- GUI With Sqlite3
- Desktop Application
- PYTHON OTHER MODULES
- Random
- Turtle
- File Input & Output
- Time & Date etc.
- What IS SQL
- SQL - Setup Mode
- SQL Introduction
- SELECT - FORM
- LIMIT
- WHERE
- Comparison Operators
- Logical operators: AND, OR, NOT
- LIKE
- IN, NOT IN
- BETWEEN
- IS NULL
- ORDER BY
- Introduction to Aggregation
- COUNT, SUM
- MIN, MAX, AVC
- CROUP BY
HAVING - DISTINCT
- CASE Statement
- Introduction to Joins
- Why do we split data into separate tables?
- Inner Join
- Left & Right Join
- JOINS & Filtering
- JOINs & Aggregation
- Full Outer Join
- UNION, UNION ALL
- Self join
- Subqueries
- WITH: Common Table Expressions
- Introduction Microsoft Excel
- Range
- Formulas & Functions
- Ribbon
- Workbook & Worksheets
- Format Cells
- Find & Select
- Data Validation
- Share & Protect
- COUNT & SUM
- Logical
- Cell References
- Date & Time
- Text
- Lookup References
- Round
- Formula Errors
- Array Functions
- Sort
- Filter
- Conditional Formatting
- Tables
- Pivot Tables
- Charts
- Introduction - Microsoft Power Bl
- Introduction - Business Intelligence
- Introduction — Data Visualization
- Components of Power Bl
- Power Bl Desktop
- Introduction - Data Warehouse
- Power Bl — Installation
- Power Bl - Dynamic User Interface
- Power Query Overview
- PQ — Text Functions
- PQ — Date Functions
- PQ — Number Functions
- PQ - conditional columns & CFE
- PQ — Appending or Combining Files
- PQ — Merge Queries
Powerful Cleaning Features
1. Pivoting
2 Unpivoting - Working with Rows & Columns in PQ
- Working with Filters & Parameters
- Custom Function Feature to Clean and Combine Files
- Get SQL Data in Power Bl
- Get Live Website Data in Power BI
- Get Email Data in Power BI
- Get Google Forms(Google Sheets) Data in Power Bl
- Get Power Bl Datasets
- SharePoint in Power Bl
- Get JSON Files in Power Bl
Power Query Case Studies & Projects
- What is Report View
- Basic Visualisation In Power Bl
- Basic Charts in Power Bl
- Formatting of Visuals in Power Bl
- Introduction to Visualize Spatial Data by Maps
- Working with Maps in Power Bl
- Geo Styling
- Formatting of Pages & Reports
- Working with Themes
- Introduction to Analytic Artistry in Power Bl
- Graphical Glory
- Smart Graphs
- Textualize Your Data in Power Bl
- Matrix Mastery
- Conditional Formatting in Textual Data
- Hierarchies in Matrix
- Filters & Slicers in PBI
1. Introduction to Filters
2 Filters on Different Data Types
3 Introduction to Slicers - cards & KPIs in PBI
1. Number Cards
2 Textual cards in PBI - Using Actions to Enhance Data Visualisation
1. Elements in PBI
2 Actions in PBI
3. Bonus in PBI
- Q&A in Power Bl
- Decomposition Tree in PBI
- Smart Narrative in PBI
- Increase & Decrease Feature in PBI
- Get Quick Insights in PBI
- What is Power Bl Service
- Creating an Account in PBI Service
- Publishing the Report to PBI Service
- Sharing & Collaboration of Power BI reports
- Exporting the Report
- Power Bl Service Settings
1. Automatically Refresh PBI Reports - Dashboard in Power Bl
1. Creating a Dashboard in PBI Service
2 Dashboard Options
power BI Projects
- Introduction to Power Pivot
- Introduction to Data Modelling
- First DAX Function in Power Bl
- Date Functions
- Text Functions
- Logical Functions
- Calculated Column vs Measures
- Implicit Measures vs Explicit Measures
- CALCULATE Function
- PREVIOUSDAY — Time Intelligence Functions
- NEXTDAY — Time Intelligence Functions
- Calculate Percentage Difference
- SAMEPERIODLASTYEAR Function
- DATEADD Function
- MTD, QTD & YTD using Quick Measures
- Concatenated List of Values (Quick Measures)
- Star Rating using Quick Measure
- FILTER Function
- SUMMARIZE Function
- TOP N Function
- CALENDARAUTO Function
- Calendar Table
All Functions in PBI DAX
Our trainers at Xplore IT Corp are high experience holders, well versed in data analytics and visualization. In our Microsoft Power BI Course, the trainer provides a rich sense of practical understanding about Power BI by years of experience in the domain. Our trainers make sure each student gets their personal attention towards complex concepts for better understanding. Get trained with real-world projects and advance techniques, ensuring you become competent in data-driven decision-making. Join Xplore IT Corp and learn from the best to elevate your career in data analytics through our Microsoft Power BI Course.
Learn from Industry Experts
Our courses are taught by professionals with real-world experience.
Comprehensive Learning
Gain in-depth knowledge through our well-structured curriculum.
Hands-on work
Learn skills by doing real-world projects.
Flexible Batches
Choose from weekday or weekend batches for desired Course.
Certification
After finishing the course, you will obtain a recognized certificate.
Job Placement Support
Our students receive job placement opportunities after completing the course.
Continuous Mentorship
Our students of the course will avail ongoing mentor support.
Flexible Payment Plans
Available payment options enable any individual to afford the course. This makes it affordable and accessible to all.
Job prospects after graduating from the course
Python Developer: Create complex and scalable applications with Python.
Data Analyst: Data Analysis to Develop Insights for Business Decision-making.
Machine Learning Engineer:A machine learning engineer will develop and deploy machine learning-based models using Python.
Web developer: Develop and maintain websites using frameworks like Django and Flask.
Automation Engineer: Automate tasks and processes to increase efficiency in organizations.
We offer a placement course in Python, ensuring you have a clear path to employment and continuous support and guidance from our dedicated placement team.
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AWS
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Data Science
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Frequently Asked Questions
The course lasts around 2–3 months. Flexibility for batches both across weekdays and weekends.
It is better to acquire little knowledge in Power BI, although it is not compulsory
Yes, Xplore IT Corp provides a certificate for course completion.
Yes, we also provide comprehensive placement assistance including job referrals as well as mock interviews.
Through this course completion, you can apply for the positions of a Data Analyst, Business Intelligence Specialist, and Power BI Developer.
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