Lavanya

Rate $18
Response 1h
Students
Number of students Lavanya has taught since their arrival at Superprof
2
Number of students Lavanya has taught since their arrival at Superprof

$18/h

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Databases
Data analysis

Senior Data Analyst | Power BI | Qlik Sense | SQL SSMS. From scratch to advanced levels.

Databases
Data analysis

Lesson location

- online

About Lavanya

I'm Lavanya Ilango, a Sr Data Analyst with around 7 years of experience with great exposure to Power BI, Qlik and SQL.
I have a proven track record in data cleansing, preprocessing, mapping, modeling, and visualization. I recognize myself as an expertise in Data Modeling, Cleansing, report generation, creating Stored Procedures/ views with great attention to detail, providing high quality business solutions to complex Problems.

I enjoy mentoring and training individuals in Power BI, helping them to understand and harness its full potential. My approach is practical and tailored to the learner's needs, ensuring they can effectively apply their new skills in real-world scenarios.
I'm passionate about teaching and look forward to helping others master Power BI. Thank you for considering me for this tutoring opportunity.

About the lesson

Unlock the Power of Data with Comprehensive Power BI Training!
Are you eager to dive into the world of data analysis and visualization? Do you want to become proficient in Power BI and excel as a Data Analyst? Look no further! With my 7 years of industry experience, I offer personalized, one-on-one Power BI tutoring that will transform you from a beginner to an advanced user capable of handling real-world industry projects.
Why Choose My Power BI Lessons?
1. Customized Learning Experience:
o Tailored sessions that align with your current knowledge and learning goals, until you understand.
o Flexible scheduling to fit your busy lifestyle.
2. Comprehensive Curriculum:
o Covering everything from the fundamentals to advanced Power BI techniques.
o Hands-on projects and real-world scenarios to enhance your learning experience.
3. Industry Expertise:
o Learn from a seasoned Data Analyst with 7 years of industry experience.
o Gain insights into industry best practices, Sample Data and practical applications.
4. Interactive and Engaging Sessions:
o Live demonstrations and interactive exercises to reinforce your understanding.
o Q&A sessions to address your specific questions and challenges.
5. Practical Skills Development:
o Develop the skills to create stunning data visualizations and insightful reports.
o Master data modeling, Power Query Editor, DAX (Data Analysis Expressions), and Power BI Desktop.
6. Career Advancement:
o Build a strong foundation to advance your career as a Data Analyst.
o Prepare for real industry projects and stand out in the job market.

What You'll Learn:

1. Introduction to Power BI
• Overview of Power BI
• Power BI Desktop, Service, and Mobile Apps
• PBI Architecture - 3 sectors of PBI development
2. Power Query Editor
• Get Data (Excel, SQL Server, Web, etc.)
• Data Cleansing and Transformation – Home, Transform, Add Column
• Data QA and Profiling Tools
• Transformation and Preparation – Text, Numerical tools, etc.
• Storage Modes – Import, Direct Query, Composite, Live
• Types of Data Load – Incremental, Full, Streaming, Hybrid
• Master Calendar
• Rolling Calendar
• Index and conditional columns
• Grouping and Aggregation
• Merging and Appending
• Folder for Appending Files
• Data Source Settings
• Parameters
• Data Refresh
• Query Folding
• Importing Excel Models
• Vertipaq
• PQE Best Practices
3. Data Modeling
• Normalization
• Fact and Dimension Tables
• Primary and Foreign Key
• Relationships
• Cardinality
• Cross filtering
• Star and Snowflake Schemas
• Link / Bridge Table
• Model Layouts
• Hierarchies
4. DAX (Data Analysis Expressions)
• Introduction to DAX
• Calculated Columns
• Measures
• Implicit vs Explicit Measures
• Quick Measures
• DAX Functions
o Math and Stats
o Logical
o Text
o Filter
o Table
o Date & Time
o Relationship
• Dedicated Measure Table
• Context in DAX (Row Context vs. Filter Context)
• Iterator Functions
• Qualified and Unqualified
• Calculated Tables
• Calculation Group
• Dax and M Language
• Variables in DAX
• DAX Optimization Techniques and Best Practises
5. Visualization
• Report Introduction and Interface
• 3 Key Questions
• Creating and Customizing Visuals
o KPI
o Bar
o Line/Area
o Pie/Donut
o Slicers
o Filters
o Map
o Scatter, etc.
• Conditional Formatting
• Top N
• Drill-Up and Drill-Down
• Naming and Grouping objects
• Cards and multi row cards
• Tooltips
• Forecast
• Button Navigation
• Drill-Through
• Edit Interaction
• Bookmarks
• Numeric Range Parameters
• Field Parameters
• RLS – Statis, Dynamic
• OLS
• Mobile Layouts
• Publishing
6. Artificial Intelligence
• Anomaly Detection
• Smart Narratives
• Q&A visuals
• Decomposition Trees
• Key Influencers
7. Optimization
• Best Practices for Data Modeling
• Using Aggregations and Summarizations
• Reducing Data Model Size
• Optimize Ribbon
o Pausing Visuals
o Optimization Presets
o Applying all slicers
o Performance Analyzer
8. Best Practice's

Senior Data Analyst | Power BI | Qlik Sense | SQL SSMS. From scratch to advanced levels.

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About Lavanya

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Senior Data Analyst | Power BI | Qlik Sense | SQL SSMS. From scratch to advanced levels.

Lesson location

About Lavanya

About the lesson

Rates

Rate

Pack rates

online

Travel

Other tutors in Databases

Billy

Esmaeil

João

Andrei

Lakshay

Cyril

Akash

John

Edward

Fortunate

Jacqueline

Abhishek

Ouassima

Vidya

Priyanshu

Ghada

Evidence

Ankit

Prerna

Sina

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