I completed Introduction to Generative AI Learning Path! Check out my certificate https://t.co/LLuK45bZNx #Coursera

AppDynamics founder: Selling startup made hundreds of employees millionaires

Improve performance by identifying and removing unnecessary rows and columns. Identify poorly performing measures, relationships, and visuals by using Performance Analyzer. Improve performance by choosing optimal data types. Improve performance by summarizing data #PowerBI

Use basic statistical functions. Create semi-additive measures. Create a measure by using quick measures. Create calculated tables. #DAX #DataCleaning #DataVisualisation #DataModelling

Create model calculations by using DAX Create single aggregation measures. Use CALCULATE to manipulate filters. Implement time intelligence measures. Identify implicit measures and replace them with explicit measures. #PowerBI #DAX

Model data Design and implement a data model Configure table and column properties. Implement role-playing dimensions. Define a relationship's cardinality and cross-filter direction. Create a common date table. Implement row-level security roles.

Transform and load data Merge and append queries. Identify and create appropriate keys for relationships. Configure data loading for queries. #PowerBI #DataTransformation

Transform and load data Select appropriate column data types. Create and transform columns. Transform a query. Design a star schema that contains facts and dimensions. Identify when to use reference or duplicate queries and the resulting impact. #PowerBI

Clean data Evaluate data, including data statistics and column properties. Resolve inconsistencies, unexpected or null values, and data quality issues. Resolve data import errors #PowerBI

Get data from data sources, Identify and connect to a data source. Change data source setting, including credential, privacy level, and data source location Select a shared dataset or create a local dataset Choose between DirectQuery, Import, and Dual mode Change parameter Value.

Data analysts work closely with business stakeholders to identify business requirements. They collaborate with enterprise data analysts and data engineers to identify and acquire data & delivering actionable insights by working with available data and applying domain expertise

A Data Analyst, Provides a meaningful business value through easy-to-comprehend data visualizations. Enable others to perform self-service analytics. Deploy and configure solutions for consumption. Clean and transform data, Create data models, Visualize data and Share assets.

Today I earned my "Learn the basics of web accessibility" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! https://t.co/wGFFsdE7v3 #MSLearnBadge

Today I earned my "Store and retrieve data using literal and variable values in C#" badge! I’m so proud to be celebrating this achievement and hope this inspires you to start your own @MicrosoftLearn journey! https://t.co/j7wNsiBtCU #MSLearnBadge

AWS Control Tower, can be used to set up initial prescriptive configuration and further customizations can be made as organizations scale.

AWS offers a service called Landing Zone, which provides a baseline to get started with multi-account architecture, identity and access management, governance, data security, network design, and logging. #AWS #awssupport

Large scale software system is composed of small sub-systems, that are servers, which communicate and exchange data over the network to solve a business problem, provide business logic, and compose functionality. Communication can take place in both synchronous or asynchronously

I completed Prepare, Clean, Transform, and Load Data using Power BI! Check out my certificate https://t.co/5jGGn0pyjK #Coursera

Data for Energy Skills Accelerator • Farrukh Saeed • Avado https://t.co/LJzZu0vAX3 #Shell #Avado #PowerBI #EnergyTransition #RenewableEnergy

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