What you'll learn
- Understand the fundamentals of Microsoft Power BI and its key components.
- Download, install, and navigate Power BI Desktop with ease.
- Connect to multiple data sources, including Excel, CSV, and SQL databases.
- Clean, shape, and transform raw data using Power Query Editor.
- Build efficient data models with fact and dimension tables.
- Create and manage relationships between tables using star and snowflake schema.
- Learn the difference between columns, measures, and when to use them.
- Write DAX formulas for calculated columns and measures.
- Apply math, logical, text, and date/time functions in DAX.
- Use advanced DAX functions like CALCULATE, ALL, and filtering techniques.
- Build interactive Power BI reports with visuals such as cards, KPIs, charts, and tables.
- Apply filters, slicers, drillthrough, and bookmarks to create user-friendly dashboards.
- Design and share professional Power BI dashboards with stakeholders.
- Integrate SQL with Power BI for advanced data analysis and reporting.
- Refresh, manage, and update Power BI reports with best practices.
- Gain practical, job-ready skills in business intelligence and data visualization.
Unlock the power of data with Microsoft Power BI and SQL. This comprehensive video course helps students, professionals, and business users build the skills needed to visualize, analyze, and communicate data effectively. From creating dashboards and reports to managing data models and applying DAX functions, you’ll learn how to turn raw information into meaningful insights. With practical case studies and real-world examples, this course equips you to make smarter business decisions and advance your career in data analytics.
Practical Focus: Learn by doing with step-by-step guidance.
Hands-On Projects: Apply concepts through real-world business scenarios.
Tool Mastery: Gain in-depth expertise in Power BI and SQL, two of the most in-demand data tools.
Real Experience: Instructors share key interventions and best practices from large-scale implementations.
Career-Oriented Learning: Build data skills that make you stand out in interviews and analytics-driven roles.
Actionable Insights: Transform data into clear strategies that drive business success.
Who is this course for?
Students and graduates aspiring to build a career in data analytics or business intelligence.
Working professionals who want to upskill in Power BI and SQL for better career opportunities.
Business analysts and managers looking to make data-driven decisions.
Finance, marketing, and operations teams who want to track performance with interactive dashboards.
IT professionals and database users interested in integrating SQL with Power BI.
Entrepreneurs and startup founders who need to visualize business metrics effectively.
Anyone eager to transform raw data into actionable insights without prior coding expertise.
What are the prerequisites for this course?
This course is designed for beginners to advance learners. No advanced programming experience is required. However, having the following will be helpful:
- Basic familiarity with spreadsheets (like Excel or Google Sheets).
- Interest in working with data and solving real-world problems.
- A curious mindset and willingness to learn!
- 7 Sections
- 87 Lessons
- Lifetime
- Welcome to Neumuuv - Power of Experiential Learning1
- 1. Getting Started with Power BIKickstart your Power BI journey with this foundational module. Get introduced to the course structure, install Power BI, and explore the user interface.4
- 2. Power BI Data Connection & TransformationThis module dives deep into the core of Power BI’s data transformation capabilities.20
- 3.12.1 Connecting & Shaping Data in Power BI
- 3.22.2 Power Query Editor Overview
- 3.32.3 Table Transformation Basics
- 3.42.4 Advanced Table Transformation
- 3.52.5 Table Transformation Assignment
- 3.62.6 Connect to SQL Database in Power BI
- 3.72.7 Data Quality Check in Power BI
- 3.82.8 Text Column Transformation in Power Query
- 3.92.9 Text Transformation Assignment
- 3.102.10 Numerical Column Transformation in Power Query
- 3.112.11 Numerical Transformation Assignment
- 3.122.12 Datetime Column Transformation in Power Query
- 3.132.13 Creating Conditional Columns with M Query
- 3.142.14 Grouping Data in Power Query
- 3.152.15 Pivot & Unpivot Data in Power BI
- 3.162.16 Merging Tables in Power Query
- 3.172.17 Appending Data in Power BI
- 3.182.18 Managing Data Source Settings
- 3.192.19 Refreshing Power BI Reports
- 3.202.20 Best Practices for Data Cleaning & Shaping
- 3. Power BI Data Modeling & RelationshipsThis module focuses on building a strong data modeling foundation in Power BI.11
- 4.13.1 Introduction to Power BI Data Modeling
- 4.23.2 Fact & Dimension Tables in Star Schema
- 4.33.3 Primary vs Foreign Keys Explained
- 4.43.4 Relationships vs Merged Tables
- 4.53.5 Creating Table Relationships in Model View
- 4.63.6 Editing Relationships in Power BI
- 4.73.7 Star & Snowflake Schema Overview
- 4.83.8 Data Modeling Assignment
- 4.93.9 Active & Inactive Relationships
- 4.103.10 Understanding Cardinality in Power BI
- 4.113.11 Cross Filter Direction: Single vs Both
- 4. Power BI DAX & CalculationsThis module is your gateway to mastering DAX (Data Analysis Expressions), the core language behind Power BI calculations and insights.24
- 5.14.1 Introduction to DAX in Power BI
- 5.24.2 Measure vs Column in Power BI
- 5.34.3 Using M Query & DAX for Columns & Measures
- 5.44.4 Creating Calculated Columns in Power BI
- 5.54.5 Creating Measures Using DAX
- 5.64.6 Implicit vs Explicit Measures
- 5.74.7 Organizing Measures into Folders
- 5.84.8 Writing DAX Formulas
- 5.94.9 Math Functions: SUM, MAX, MIN, AVERAGE
- 5.104.10 Count Functions: COUNT, COUNTA, DISTINCTCOUNT, COUNTROWS
- 5.114.11 Math Functions Assignment
- 5.124.12 Math Functions Assignment Solution
- 5.134.13 Basic Logical Functions: IF, IFERROR, SWITCH, AND, OR
- 5.144.14 Logical Functions Assignment
- 5.154.15 Logical Functions Assignment Solution
- 5.164.16 Text Functions: LEN, CONCATENATE, UPPER/LOWER, LEFT/MID/RIGHT, SEARCH, SUBSTITUTE
- 5.174.17 Text Functions Assignment
- 5.184.18 Text Functions Assignment Solution
- 5.194.19 Datetime Functions: TODAY, NOW, DAY, MONTH, YEAR, HOUR, MINUTE, SECOND, WEEKDAY, WEEKNUM, EOMONTH, DATEDIFF
- 5.204.20 Datetime Functions Assignment & Solution
- 5.214.21 Using CALCULATE Function in DAX
- 5.224.22 CALCULATE Function Assignment
- 5.234.23 CALCULATE Function Assignment Solution
- 5.244.24 Using ALL Function in DAX
- 5. Power BI Visualizations & ReportingThis module equips you with the skills to turn raw data into powerful, interactive visual stories.18
- 6.15.1 Building Your First Power BI Report
- 6.25.2 Using Card Visuals in Power BI
- 6.35.3 Visualization Assignment & Solution
- 6.45.4 Line Charts in Power BI with Formatting
- 6.55.5 KPI Card Visual in Power BI
- 6.65.6 Bar, Donut & Pie Charts in Power BI
- 6.75.7 Filtering Options in Power BI Reports
- 6.85.8 Donut Chart Assignment & Solution
- 6.95.9 Creating and Using Table & Matrix Visuals
- 6.105.10 TopN and BottomN in Power BI
- 6.115.11 TopN & BottomN Assignment & Solution
- 6.125.12 Creating Slicers for Data Filtering
- 6.135.13 Gauge Chart in Power BI
- 6.145.14 Drill Down Functionality in Power BI Reports
- 6.155.15 Drill Through Functionality in Power BI Reports
- 6.165.16 Using Bookmarks in Power BI (Part 1)
- 6.175.17 Using Bookmarks in Power BI (Part 2)
- 6.185.18 Deploying Power BI Reports to Service & Sharing
- 6. SQL for Power BI Data AnalysisThis module introduces SQL fundamentals and how they integrate seamlessly with Power BI for powerful data analysis.9
- 7.16.1 Introduction to SQL Server
- 7.26.2 Creating Tables in SQL
- 7.36.3 Inserting Data with SQL
- 7.46.4 Selecting Data with SQL Queries
- 7.56.5 Filtering Data with SQL WHERE Clause
- 7.66.6 Using SQL Joins in Power BI
- 7.76.7 SQL Aggregation Functions
- 7.86.8 Combining Data with SQL UNION
- 7.96.9 Integrating SQL with Power BI
Neumuuv is an experiential learntech platform offering hands-on courses in technology, business, and soft skills. Unlike traditional edtechs, our trainers are industry professionals from top MNCs who bring real-world expertise into every session. We bridge the gap between academia and industry by preparing learners with practical, career-ready skills.
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