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Hafeezpet, Hyderabad 
21 students 
1500 per hour Details verified of Ashok Sahu✕
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UrbanPro Certified Tutor
For Data Modeling
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Modeling Training
20+
Teaching Experience in detail in Data Modeling Training
I have more than 20 Years of Data Modelling experience. Worked with many Leading Global Companies like IBM, Tech M etc.
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in RDBMS Training
10
Subjects
PostgreSQL
Teaching Experience in detail in RDBMS Training
High Quality Training. Study materials will be provided
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in SQL Programming Training
15
Teaching Experience in detail in SQL Programming Training
ddl, Dml, Dcl etc of all databases like Oracle, Microsoft Sql Server, MySQl, Postgresql, etc
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in PL/SQL Classes
10
Teaching Experience in detail in PL/SQL Classes
Class Location
Online (video chat via skype, google hangout etc)
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Tutor's Home
Years of Experience in Big Data Training
10
Big Data Technology
Apache Spark
Teaching Experience in detail in Big Data Training
Very high quality training. Course contents will be shared
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Azure Data Factory Training
7
Teaching Experience in detail in Azure Data Factory Training
Very high quality training
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Azure Databricks Courses
10
Teaching Experience in detail in Azure Databricks Courses
High-quality training
Class Location
Online (video chat via skype, google hangout etc)
Student's home
Tutor's Home
Years of Experience in Microsoft Azure Training
11
Azure Certification offered
Azure Certified Data Engineer
Teaching Experience in detail in Microsoft Azure Training
Day 1: Introduction to Azure Data Services - Overview of Azure architecture and data platform - Azure Storage (Blob, Data Lake Gen2) and Azure SQL Database - Introduction to Azure Synapse Analytics and Azure Databricks Day 2: Data Ingestion & Integration - Azure Data Factory (ADF): pipelines, triggers, and linked services - Copy activity, data flows, and integration runtimes - Ingesting data from on-premises and cloud sources Day 3: Data Transformation & Processing - Azure Databricks: notebooks, clusters, and Spark basics - Data wrangling with PySpark and Delta Lake - Stream processing with Azure Stream Analytics Day 4: Data Storage & Management - Designing partitioning and indexing strategies in Azure Synapse - Managing data lakes with hierarchical namespaces - Implementing data retention and archival policies Day 5: Security, Monitoring & Optimization - Role-based access control (RBAC), managed identities, and key vault integration - Data encryption at rest and in transit - Monitoring pipelines with Azure Monitor and Log Analytics Day 6: Capstone Project & Exam Readiness - Real-world case study: building an end-to-end data pipeline - Performance tuning and cost optimization strategies - DP-203 exam tips, practice questions, and Q&A
Class Location
Online (video chat via skype, google hangout etc)
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Years of Experience in Data Analysis Classes
15
Data analysis concepts taught
Time Series Analysis, Regression Analysis, Prediction Analytics
Teaching Experience in detail in Data Analysis Classes
Prediction Analysis • Intro to predictive modeling in Power BI • Covers data transformation, forecasting, and clustering • Great for visual learners and quick onboarding Build predictive models using Python/R scripts inside Power BI • Use DAX for simple forecasting • Visualize trends with built-in charts and clustering tools • Includes cheat sheets and dashboard templates - Hands-on with Power BI Desktop - Covers regression, classification, clustering, and time-series forecasting - Uses real-world datasets (e.g., flight delay analysis) - Includes AutoML, smart narratives, and Q&A visuals
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
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Years of Experience in Data Analytics classes
10
Teaching Experience in detail in Data Analytics classes
AWS Data Analytics and other courses
Class Location
Online (video chat via skype, google hangout etc)
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Years of Experience in Microsoft Power BI classes
15
Teaching Experience in detail in Microsoft Power BI classes
Objectives: - Equip participants with end-to-end Power BI skills—from data ingestion to dashboard deployment. - Enable real-time business decision-making through interactive visualizations and DAX-based analytics. - Foster self-sufficiency in report creation and Power BI Service usage. 🛠️ Curriculum Highlights: Day 1: Introduction & Data Preparation - Overview of Power BI ecosystem (Desktop, Service, Mobile) - Connecting to various data sources (Excel, SQL Server, Web APIs) - Data transformation using Power Query Editor (M language basics) Day 2: Data Modeling & Relationships - Creating star schemas and managing relationships - Introduction to DAX (Data Analysis Expressions) - Calculated columns vs. measures Day 3: Visualizations & Storytelling - Building interactive reports with slicers, filters, and bookmarks - Custom visuals and themes - Best practices for data storytelling and user experience Day 4: Advanced Analytics - Time intelligence functions (YTD, QTD, MTD) - What-if parameters and scenario analysis - Row-level security (RLS) implementation Day 5: Publishing & Collaboration - Publishing to Power BI Service - Creating dashboards and setting up data refresh schedules - Sharing, commenting, and using Power BI apps for collaboration Teaching Methodology: - Hands-on labs with real-world datasets (e.g., sales, inventory, customer feedback) - Live demos followed by guided exercises - Group projects: Each team built a dashboard to solve a business case - Daily quizzes and a final capstone presentation
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Tableau Training
15
Teaching Experience in detail in Tableau Training
Objectives: - Introduce participants to Tableau Desktop for data visualization and dashboard creation - Enable users to connect, clean, and analyze data using Tableau’s visual interface - Empower teams to build interactive dashboards for real-time business insights Day 1: Tableau Essentials & Data Connection - Introduction to Tableau ecosystem (Desktop, Prep, Server, Public) - Connecting to data sources (Excel, CSV, SQL databases) - Data interpreter, metadata management, and data types - Live vs. Extract connections Day 2: Visual Analytics & Calculations - Building core charts: bar, line, scatter, maps, and heatmaps - Using filters, parameters, and sets for interactivity - Table calculations and Level of Detail (LOD) expressions - Creating calculated fields for KPIs and metrics Day 3: Dashboards, Storytelling & Publishing - Designing responsive dashboards with containers and layout best practices - Dashboard actions: filter, highlight, and URL actions - Story points for guided analytics - Publishing to Tableau Server/Public and setting up data refresh schedules
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Snowflake Training
10
Teaching Experience in detail in Snowflake Training
Day 1: Snowflake Architecture & Setup - Overview of Snowflake’s multi-cluster shared data architecture - Warehouses, databases, schemas, and virtual warehouses - Setting up roles, users, and access controls - Understanding compute vs. storage separation Day 2: Data Loading & Querying - Loading structured and semi-structured data (CSV, JSON, Parquet) - Using Snowpipe for continuous data ingestion - Querying with SQL: joins, window functions, and CTEs - Time Travel and Fail-safe features Day 3: Data Transformation & Optimization - Creating views, materialized views, and stored procedures - Using Tasks and Streams for ELT workflows - Performance tuning: clustering keys, caching, and query profiling - Cost management and warehouse sizing strategies Day 4: Security, Sharing & Real-World Project - Role-based access control (RBAC) and masking policies - Secure data sharing across accounts and regions - Capstone project: building an end-to-end data pipeline with Snowflake + BI tool (e.g., Tableau or Power BI) - Best practices for production deployment
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Generative AI Classes
20+
Teaching Experience in detail in Generative AI Classes
About Trainer: Nearly 20 years of IT experience. 5 years in Generative AI application development. Providing Training at Oxford University, UK. Currently working at a Financial Major in the UK. Fully hands-on Training. Lifetime access to recorded video. Training is 50 to 60 hours . Affordable pricing. Training would be conducted over Zoom. • Python, ML/DL, Transformers, LangChain, Hugging Face • Prompt Engineering, RAG pipelines, multimodal AI • Capstone projects like semantic search bots and image captioning • 24/7 AI-powered doubt support between GenAI and traditional ML• Google tools for building GenAI apps
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Business Analytics Training classes
20+
Teaching Experience in detail in Business Analytics Training classes
Business Analytics courses teach how to analyze data, extract insights, and make strategic decisions using statistical, computational, and business tools. These programs blend data science, business intelligence, and management strategy. • Statistics & Probability • Data Mining & Predictive Modeling • Business Intelligence Tools (Power BI, Tableau) • Machine Learning & AI • SQL, Python, R • Financial & Marketing Analytics • Decision Science & Strategy
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Data Science Classes
10
Data science techniques
Machine learning, Artificial Intelligence
Class Location
Online (video chat via skype, google hangout etc)
Student's Home
Tutor's Home
Years of Experience in Soft Skills Training Classes
15
Softskills Training Offered
Assertiveness Skills Training , Personal Effectiveness Training , Behavioral Skills Training, Decision Making Skills Training , Influencing Skills Training , Leadership Training
4.8 out of 5 21 reviews
Karan Mathur
Data Modeling Training by Ashok
"It is a great experience learning from Ashok, sir. His teaching methodology is commendable, and he makes sure that each and every topic needs to be covered in depth. He never rushes towards the topic and is focused on concept understanding. Being inexperienced in the data modeling field, he makes me a pro. He is patient, and his curriculum design covers everything. Many thanks, Ashok sir, for your guidance and teaching style. It is really great, and it helped me to clear my basics and advance-level concepts. I appreciate your time and effort. I sincerely recommend it if anyone really wants to grow and learn in the data modeling field. "
Reply by Ashok
Thank you so much!
Nitesh
473234-Data Modeling Training by Ashok
"The best course has been provided by Ashok sir. His well knowledgeable in Data modelling and Erwin tool. I would like to thank you Ashok sir for all the guidance and support that has been rendered during and after course. I have got selected in MNC with good amount of hike immediately after completing this course. Once again thank you sir. Must recommended. "
Reply by Ashok
Thank you very much
Raja
473234-Data Modeling Training by Ashok
"Excellent training. I would suggest anyone want to learn data modelling course this is perfect one. The level of commitments the training team put is amazing. Thanks. "
Reply by Ashok
Thank you very much
Somnath p
"Nice learning experience. Recommended. Teaching style is unique. Lot of hands on activities with different use cases. "
Reply by Ashok
Thank you very much
Zubin Bal
"Excellent teacher for data modelling with extensive knowledge and experience. He gives individual attention to every student and discusses every doubt in detail with example, Class includes very practical training with different business scenarios. "
Reply by Ashok
Thank you very much
Manohar Sakare
"Good. Trainer has good knowledge. He will interact with students friendly and explains well. Explains both data, modelling and data warehousing concepts with hands on. "
Reply by Ashok
Thank you very much
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Certified
The Certified badge indicates that the Tutor has received good amount of positive feedback from Students.
