Being fluent in NumPy goes a long way in becoming a data scientist π Today we are taking an important step in that direction! π
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy
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Wanna know more? Check out the slides!
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π¨βπ»#NumPy
π2
Neural networks are at the center of attention for machine learning π.So itβs important to get introduced early on our journey π..π£
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π¨βπ» #Machine_Learning
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π¨βπ» #Machine_Learning
π2
π5π1
5 Steps to Learn Front-End Developmentπ
Step 1: Basics
β Internet
β HTTP
β Browser
β Domain & Hosting
Step 2: HTML
β Basic Tags
β Semantic HTML
β Forms & Table
Step 3: CSS
β Basics
β CSS Selectors
β Creating Layouts
β Flexbox
β Grid
β Position - Relative & Absolute
β Box Model
β Responsive Web Design
Step 3: JavaScript
β Basics Syntax
β Loops
β Functions
β Data Types & Object
β DOM selectors
β DOM Manipulation
β JS Module - Export & Import
β Spread & Rest Operator
β Asynchronous JavaScript
β Fetching API
β Event Loop
β Prototype
β ES6 Features
Step 4: Git and GitHub
β Basics
β Fork
β Repository
β Pull Repo
β Push Repo
β Locally Work With Git
Step 5: React
β Components & JSX
β List & Keys
β Props & State
β Events
β useState Hook
β CSS Module
β React Router
β Tailwind CSS
Now apply for the job. All the best π
Need Full stack web development course
Step 1: Basics
β Internet
β HTTP
β Browser
β Domain & Hosting
Step 2: HTML
β Basic Tags
β Semantic HTML
β Forms & Table
Step 3: CSS
β Basics
β CSS Selectors
β Creating Layouts
β Flexbox
β Grid
β Position - Relative & Absolute
β Box Model
β Responsive Web Design
Step 3: JavaScript
β Basics Syntax
β Loops
β Functions
β Data Types & Object
β DOM selectors
β DOM Manipulation
β JS Module - Export & Import
β Spread & Rest Operator
β Asynchronous JavaScript
β Fetching API
β Event Loop
β Prototype
β ES6 Features
Step 4: Git and GitHub
β Basics
β Fork
β Repository
β Pull Repo
β Push Repo
β Locally Work With Git
Step 5: React
β Components & JSX
β List & Keys
β Props & State
β Events
β useState Hook
β CSS Module
β React Router
β Tailwind CSS
Now apply for the job. All the best π
Need Full stack web development course
π8β€2
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β― HTML/CSS β Kevin Powell
β― C β Jacob Sorber
β― C++ β TheCherno
β― Java β Telusko
β― C# β kudvenkat
β― Python β Corey Schafer
β― JavaScript β developedbyed
β― SQL β Joey Blue
β― Golang β Jon Calhoun
β― Swift β CodeWithChris
β― Kotlin β PhilippLackner
β― PHP β ProgramWithGio
β― Ruby β DriftingRuby
β― Rust β NoBoilerplate
β― Lua β Steve's teacher
β― Scala β DevInsideYou
β― Julia β TheJuliaLanguage
β― MATLAB β Joseph Delgadillo
β― R β marinstatlectures
β― C++ β javidx9
β― C++ β LearningLad
β― C++ β Trevor Payne
β― JavaScript β Akshay Saini
β― TypeScript β basarat
β― TypeScript β TypeScriptTV
β― C# β Microsoft Developer [Bob Tabor]
β― C# β dotnet [Scott/Kendra]
β― SQL β The Magic of SQL
-- Frameworks --
β― Node.js β Traversy Media
β― React β Codevolution
β― React β Dave Gray
β― React β Jack Herrington
β― Next.js β Lama Dev
β― Vue β Vue Mastery
β― Svelte β Joy of Code
β― Angular β Angular University
β― Django β CodingEntrepreneurs
β― Laravel β LaravelDaily
β― Blazor β James Montemagno
β― Spring β SpringSourceDev
β― SpringBoot β amigoscode
β― Ruby on Rails β GorailsTV
-- Mobile App --
β― React Native β Codevolution
β― React Native β Hitesh Choudhary
β― Flutter β The Flutter Way
β― Flutter β Tadas Petra
-- DSA --
β― take U forward
β― mycodeschool
β― Abdul Bari
β― Kunal Kushwaha
β― Jenny's Lectures CS IT
β― CodeWithHarry
-- Full Stack --
β― Traversy Media
β― NetNinja
β― Dave Gray
β― Projects
β WebDevSimplified
β JavaScript King
β― UI Design
β developedbyed
β DesignCourse
-- DevOps --
β― GIT β The Modern Coder
β― Linux β Learn Linux TV
β― DevOps β DevOpsToolkit
β― CI/CD β TechWorld with Nana
β― Docker β Bret Fisher
β― Kubernetes β Kubesimplify
β― Microservices β freeCodeCamp
β― Selenium β edureka!
β― Playwright β Jaydeep Karale
-- Cloud Computing --
β― AWS β amazonwebservices
β― Azure β Adam Marczak
β― GCP β edureka!
β― Serverless β Serverless
β― Jenkins β DevOps Journey
β― Puppet β simplilearn
β― Chef β simplilearn
β― Ansible β Learn Linux TV
-- Data Science --
β― Mathematics
β 3Blue1Brown
β ProfRobBob
β Ghrist Math
β Numberphile
β― Machine Learning
β sentdex
β DeepLearningAI
β StatQuest
β― Excel
β ExcelIsFun
β Kevin Stratvert
β Chandoo
β― Tableau β Tableau Tim
β― PowerBI
β Guy in a Cube
β Chandoo
β― Data Science
β Krish Naik
β Leila Gharani
β Socratica
β― Data Analyst
β AlexTheAnalyst
β Luke Barousse
β― Projects β Ken Jee
-- Code Editors --
β― Vim β ThePrimeagen
β― VS Code β Visual Studio Code
β― Jupyter Notebook β Corey Schafer
-- Special Mentions --
β― Programming in 100 Sec β Fireship
β― Interviews β NeetCode
-- Free Education --
β freecodecamp
β Simplilearn
β edureka!
-- Most Valuable --
β TechWithTim
β programmingwithmosh
β Traversy Media
β BroCodez
β thenewboston
β Telusko
β Derek Banas
β CodeWithHarry
β MySirG .com
β TechWorld with Nana
β KodeKloud
π17β€2
βΎHANDWRITTEN NOTES βοΈ βΎοΈ
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
πΊDATA STRUCTURE SHORT NOTES
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 1)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 2)
πΊDATA STRUCTURE
INTERVIEW SERIES πΉ(PART - 3)
πΊDBMS (DATABASE MANAGEMENT SYSTEM)NOTES
πΊC PROGRAMMING SHORT NOTES
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π2
Here are the detailed answers to each of the Power BI interview questions that have been asked at Infosys, TCS & Wipro:
1. How can you ensure that Power BI recognizes a specific column as a date column if it doesn't do so automatically?
- You can change the data type of the column in Power Query Editor or in the Data View. Select the column, then use the data type dropdown to select "Date" or "Date/Time."
2. Describe the process Power BI uses to handle large datasets exceeding the in-memory capacity.
- Power BI can handle large datasets by using techniques such as aggregations, incremental refresh, and DirectQuery mode. DirectQuery allows Power BI to query data directly from the source without loading it into memory, while aggregations can summarize data at a higher level to reduce the amount of data processed.
3. Can you explain the role of the Power BI service in the overall Power BI architecture?
- The Power BI service (PowerBI.com) is a cloud-based service that provides various features like sharing, collaboration, and dashboarding. It allows users to publish, share, and manage reports, create dashboards, and collaborate with others in their organization. It also supports data refresh, scheduled refreshes, and gateways to connect to on-premises data sources.
4. What are the key components of data modeling in Power BI?
- The key components of data modeling in Power BI include tables, relationships, measures, calculated columns, and hierarchies. Data modeling involves defining how data from different sources relates to each other and creating a model that supports analysis and reporting.
5. What is the purpose of the VertiPaq engine in Power BI?
- The VertiPaq engine is an in-memory columnar database engine used by Power BI to compress and store data efficiently. It allows for fast query performance by storing data in a highly compressed format and retrieving only the necessary columns for a given query.
6. How do you create a stacked area chart in Power BI?
- To create a stacked area chart, go to the Report View, select the data fields you want to visualize, and then choose the "Stacked Area Chart" option from the visualizations pane.
7. What is the difference between a clustered bar chart and a stacked bar chart?
- A clustered bar chart displays bars for each category grouped side by side, allowing for comparison between categories. A stacked bar chart, on the other hand, stacks the bars on top of each other, showing the total value while also displaying the contribution of each category to the total.
8. Explain the concept of role-based access control (RBAC) in Power BI.
- Role-based access control (RBAC) in Power BI allows administrators to define roles with specific permissions and assign users to these roles. This ensures that users only have access to the data and reports they are authorized to view, enhancing security and data governance.
9. What is a calculated column in Power BI, and how is it different from a measure?
- A calculated column is a column that is created using a DAX formula to add new data to a table in the data model. It is calculated row by row. A measure, however, is a DAX formula used to perform calculations on aggregated data, and its result can change depending on the context of the report or visualization.
10. How can you create and apply a custom data category in Power BI?
- You can create and apply a custom data category by selecting the column in the Data View or Power Query Editor, and then choosing the appropriate data category from the "Modeling" tab in the ribbon. Custom data categories can include geographic data, URLs, and other types.
11. What are the different methods to optimize data load performance in Power BI?
- Methods to optimize data load performance include using DirectQuery mode for real-time queries, reducing the number of columns and rows loaded into memory, using aggregations to summarize data, optimizing data transformations in Power Query, and leveraging incremental refresh for large datasets.
1. How can you ensure that Power BI recognizes a specific column as a date column if it doesn't do so automatically?
- You can change the data type of the column in Power Query Editor or in the Data View. Select the column, then use the data type dropdown to select "Date" or "Date/Time."
2. Describe the process Power BI uses to handle large datasets exceeding the in-memory capacity.
- Power BI can handle large datasets by using techniques such as aggregations, incremental refresh, and DirectQuery mode. DirectQuery allows Power BI to query data directly from the source without loading it into memory, while aggregations can summarize data at a higher level to reduce the amount of data processed.
3. Can you explain the role of the Power BI service in the overall Power BI architecture?
- The Power BI service (PowerBI.com) is a cloud-based service that provides various features like sharing, collaboration, and dashboarding. It allows users to publish, share, and manage reports, create dashboards, and collaborate with others in their organization. It also supports data refresh, scheduled refreshes, and gateways to connect to on-premises data sources.
4. What are the key components of data modeling in Power BI?
- The key components of data modeling in Power BI include tables, relationships, measures, calculated columns, and hierarchies. Data modeling involves defining how data from different sources relates to each other and creating a model that supports analysis and reporting.
5. What is the purpose of the VertiPaq engine in Power BI?
- The VertiPaq engine is an in-memory columnar database engine used by Power BI to compress and store data efficiently. It allows for fast query performance by storing data in a highly compressed format and retrieving only the necessary columns for a given query.
6. How do you create a stacked area chart in Power BI?
- To create a stacked area chart, go to the Report View, select the data fields you want to visualize, and then choose the "Stacked Area Chart" option from the visualizations pane.
7. What is the difference between a clustered bar chart and a stacked bar chart?
- A clustered bar chart displays bars for each category grouped side by side, allowing for comparison between categories. A stacked bar chart, on the other hand, stacks the bars on top of each other, showing the total value while also displaying the contribution of each category to the total.
8. Explain the concept of role-based access control (RBAC) in Power BI.
- Role-based access control (RBAC) in Power BI allows administrators to define roles with specific permissions and assign users to these roles. This ensures that users only have access to the data and reports they are authorized to view, enhancing security and data governance.
9. What is a calculated column in Power BI, and how is it different from a measure?
- A calculated column is a column that is created using a DAX formula to add new data to a table in the data model. It is calculated row by row. A measure, however, is a DAX formula used to perform calculations on aggregated data, and its result can change depending on the context of the report or visualization.
10. How can you create and apply a custom data category in Power BI?
- You can create and apply a custom data category by selecting the column in the Data View or Power Query Editor, and then choosing the appropriate data category from the "Modeling" tab in the ribbon. Custom data categories can include geographic data, URLs, and other types.
11. What are the different methods to optimize data load performance in Power BI?
- Methods to optimize data load performance include using DirectQuery mode for real-time queries, reducing the number of columns and rows loaded into memory, using aggregations to summarize data, optimizing data transformations in Power Query, and leveraging incremental refresh for large datasets.
π2β€1