CODING NOTES AI
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Learn about Generative AI & Earn FREE Certification/Badge from Google ✅
✓ Introduction to Generative AI
Cloudskillsboost.google/course_templat…
✓ Introduction to Large Language Models
Cloudskillsboost.google/course_templat…
✓ Introduction to Attention Mechanism
cloudskillsboost.google/course_templat…
✓ Transformer Models & BERT Model
cloudskillsboost.google/course_templat…
✓ Introduction to Image Generation
cloudskillsboost.google/course_templat…
✓ Create Image Captioning Models
cloudskillsboost.google/course_templat…
✓ Encoder-Decoder Architecture
cloudskillsboost.google/course_templat…
✓ How Google does Machine Learning
cloudskillsboost.google/course_templat…
✓ MLOps: Getting Started
cloudskillsboost.google/course_templat…
✓ Get started with TensorFlow
cloudskillsboost.google/quests/249
✓ Perform foundational ML, AI and Data Tasks
cloudskillsboost.google/quests/117
✓ Language, Speech, Text and Translation with Google Cloud APIs
cloudskillsboost.google/quests/179
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JavaScript Animation libraries ✅
1. GreenSock Animation Platform (GSAP)
➩ greensock.com/gsap/
2. Anime.js
➩ animejs.com
3. Velocity.js
➩ velocityjs.org
4. Lottie
➩ airbnb.design/lottie/
5. ScrollMagic
➩ scrollmagic.io
6. Three.js
➩ threejs.org
7. Popmotion
➩ popmotion.io
8. Mo.js
➩ mojs.io
9. Typed.js:
➩ github.com/mattboldt/type…
10. AniJS
➩ anijs.github.io
11. Framer Motion:
➩ framer.com/api/motion/
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Download This SYSTEM DESIGN INTERVIEW PREPARATION NOTEBOOK now for 100% Free.
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Product management tools & tech stack
Tools for capturing qualitative user feedback
▪ Zoom and Chorus.ai for conducting interviews
▪ Slack, Google Docs, or Notion for making notes of key points and action items
▪ Zendesk and Intercom for meeting customers where they are
▪ Saleforce for better understanding the needs and pain points of prospects
Tools for capturing quantitative feedback
▪ FullStory records how people flow through your product
▪ Amplitude and Mixpanel help you dive deep into product analytics.
▪ SurveyMonkey allows you to measure your NPS score, get a sense of product/market fit, and understand how happy/unhappy people are with your product.
Tools for validating the problem
▪ Miro enables virtual whiteboarding to communicate your ideas visually.
▪ Loom lets you record a screen capture along with audio, making it easy to walk people through your thinking
Product management tools for exploring the solution space
Tools for ideating solutions
▪ Figma lets you create interactive prototypes
Tools for prioritizing your work
▪ Productboard helps you decide which projects and features to move forward with, what sort of timeline to address them in, and how to keep stakeholders in the loop.
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Getting job offers as a developer involves several steps:👨💻🚀
1. Build a Strong Portfolio: Create a portfolio of projects that showcase your skills. Include personal projects, open-source contributions, or freelance work. This demonstrates your abilities to potential employers.👨💻
2. Enhance Your Skills: Stay updated with the latest technologies and trends in your field. Consider taking online courses, attending workshops, or earning certifications to bolster your skills.🚀
3. Network: Attend industry events, conferences, and meetups to connect with professionals in your field. Utilize social media platforms like LinkedIn to build a professional network.🔥
4. Resume and Cover Letter: Craft a tailored resume and cover letter for each job application. Highlight relevant skills and experiences that match the job requirements.📇
5. Job Search Platforms: Utilize job search websites like LinkedIn, Indeed, Glassdoor, and specialized platforms like Stack Overflow Jobs, GitHub Jobs, or AngelList for tech-related positions. 🔍
6. Company Research: Research companies you're interested in working for. Customize your application to show your genuine interest in their mission and values.🕵️♂️
7. Prepare for Interviews: Be ready for technical interviews. Practice coding challenges, algorithms, and data structures. Also, be prepared to discuss your past projects and problem-solving skills.📝
8. Soft Skills: Develop your soft skills like communication, teamwork, and problem-solving. Employers often look for candidates who can work well in a team and communicate effectively.💻
9. Internships and Freelancing: Consider internships or freelancing opportunities to gain practical experience and build your resume. 🏠
10. Personal Branding: Maintain an online presence by sharing your work, insights, and thoughts on platforms like GitHub, personal blogs, or social media. This can help you get noticed by potential employers.👦
11. Referrals: Reach out to your network and ask for referrals from people you know in the industry. Employee referrals are often highly valued by companies.🌈
12. Persistence: The job search process can be challenging. Don't get discouraged by rejections. Keep applying, learning, and improving your skills.💯
13. Negotiate Offers: When you receive job offers, negotiate your salary and benefits. Research industry standards and be prepared to discuss your expectations.📉
Remember that the job search process can take time, so patience is key. By focusing on these steps and continuously improving your skills and network, you can increase your chances of receiving job offers as a developer.
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Internet is a free college.
For example, if I need to determine how ‘Polymorphism works in Java’, I don’t need to get a degree to master this concept.
Similarly, ‘Stack Overflow’ is an excellent free resource for those who want to be computer scientists.
There are tremendous online free tutorials about programming and such skills.
Even many universities like MIT have free course portals where people can learn a lot free of cost.
I admit that there might be certain expertise that may require college — like Civil Engineering — but at the same time, I hope a day will come when the education will be free for all.
In a nutshell, if you have the passion to do something, internet can be a cheap and efficient resource.
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➼ Interview questions –
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Python Data scient Cheat sheet 👩💻
🔴 This cheat sheet covers all Python libraries and functionality that a data scientist would need. Its useful as notes during a project and can also be used to prepare for exams.
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AI tools for summarizing text are very popular these days, because they help you a lot in writing theses and articles and understanding different topics. Here you can find some tools that take the PDF file and deliver it to you.
https://typeset.io
https://explainpaper.com
https://researchrabbit.ai
https://elicit.org
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Top 15 advanced Power BI interview questions
1. Explain the concept of row-level security in Power BI and how to implement it.
2. What are calculated tables in Power BI, and when would you use them?
3. Describe the differences between DirectQuery, Live Connection, and Import Data storage modes in Power BI.
4. How can you optimize the performance of a Power BI report or dashboard with large datasets?
5. What is the DAX language, and how is it used in Power BI? Provide an example of a complex DAX calculation.
6. Explain the role of Power Query in data transformation within Power BI. What are some common data cleansing techniques in Power Query?
7. What is the purpose of the Power BI Data Model, and how do relationships between tables impact report development?
8. How can you create custom visuals or extensions in Power BI? Provide an example of when you would use custom visuals.
9. Describe the steps involved in setting up Power BI Gateway and its significance in a corporate environment.
10. What are the differences between Power BI Desktop, Power BI Service, and Power BI Mobile? How do they work together in a typical Power BI workflow?
11. Discuss the process of incremental data refresh in Power BI and its benefits.
12. How can you implement dynamic security roles in Power BI, and why might you need them in a multi-user environment?
13. What are Power BI paginated reports, and when would you choose to use them over standard interactive reports?
14. Explain the concept of drill-through in Power BI, including its configuration and use cases.
15. How can you integrate Power BI with other Microsoft products, such as Azure Data Lake Storage or SharePoint?
Like this post if you want the answers in next post ❤️👍
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Top 10 Power BI Interview Questions with Answers
What is Power BI, and what are its main components?
Power BI is a business analytics tool by Microsoft. Its main components include Power Query, Power Pivot, Power View, and Power Map.
How do you import data into Power BI?
Data can be imported into Power BI through various sources like Excel files, databases, web services, or by using Power Query to transform and load data.
What is a Power BI Desktop and how does it differ from Power BI Service?
Power BI Desktop is used for creating reports and dashboards, while Power BI Service is a cloud-based platform for publishing, sharing, and collaborating on reports created in Power BI Desktop.
Explain the difference between a measure and a calculated column in Power BI.
A measure is a calculation performed on the fly, often used in visualizations. A calculated column is a column added to a table with a calculated formula and is precomputed during data load.
What is the purpose of DAX (Data Analysis Expressions) in Power BI?
DAX is a formula language used for creating custom calculations, aggregations, and calculated columns in Power BI. It is essential for building complex calculations.
How can you create relationships between tables in Power BI, and why is it important?
Relationships are established by linking common fields between tables. They are crucial for enabling data integration and accurate calculations in Power BI reports.
What are the differences between a slicer and a filter in Power BI?
Slicers are visual elements that allow users to make selections, affecting visuals on a report page. Filters, on the other hand, affect the entire report by restricting data based on certain criteria.
Explain the difference between a calculated column and a measure in Power BI.
A calculated column is computed at the row level and can be used in visuals like any other column. Measures are computed at the aggregate level and are used in calculations.
What is the role of Power Query in Power BI, and how does it help in data transformation?
Power Query is used for data transformation and cleaning. It helps import, transform, and load data into Power BI by shaping and structuring it for analysis.
How can you share Power BI reports with others, and what are the sharing options available?
You can share Power BI reports by publishing them to the Power BI Service, sharing them with specific users, or embedding them in websites and applications. Sharing options can be controlled via workspace permissions.
These questions and answers should help you prepare for a Power BI interview as a data analyst. Be ready to expand on these responses based on your experience and knowledge :)
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Use Chat GPT to prepare for your next Interview
This could be the most helpful thing for people aspiring for new jobs.
A few prompts that can help you here are:
💡Prompt 1: Here is a Job description of a job I am looking to apply for. Can you tell me what skills and questions should I prepare for? {Paste JD}
💡Prompt 2: Here is my resume. Can you tell me what optimization I can do to make it more likely to get selected for this interview? {Paste Resume in text}
💡Prompt 3: Act as an Interviewer for the role of a {product manager} at {Company}. Ask me 5 questions one by one, wait for my response, and then tell me how I did. You should give feedback in the following format: What was good, where are the gaps, and how to address the gaps?
💡Prompt 4: I am interviewing for this job given in the JD. Can you help me understand the company, its role, its products, main competitors, and challenges for the company?
💡Prompt 5: What are the few questions I should ask at the end of the interview which can help me learn about the culture of the company?
ENJOY LEARNING 👍👍
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8 Sites to learn CSS by playing games✅
😀 flexboxfroggy.com
😀 flexboxdefense.com
😀 cssgridgarden.com
😀 flukeout.github.io
😀 cssbattle.dev
😀 guess-css.app
😀 css-speedrun.netlify.app
😀 codepip.com
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📊 Complete RoadMap to Master SQL
📂 Building Blocks
∟📂 Query Fundamentals
∟📂 SELECT Basics
∟ 📂 Choosing Columns
∟ 📂 Aliasing
∟ 📂 Calculated Fields
∟📂 Filtering Data
∟ 📂 WHERE Clause
∟ 📂 Logical Operators
∟ 📂 Comparison Operators
∟📂 Grouping Results
∟ 📂 GROUP BY Clause
∟ 📂 Aggregate Functions
∟ 📂 HAVING Clause
∟📂 Joins Unveiled
∟ 📂 INNER JOIN
∟ 📂 LEFT JOIN
∟ 📂 RIGHT JOIN
∟ 📂 FULL JOIN
∟📂 Advanced Insights
∟📂 Subqueries Explored
∟ 📂 Single Row Subqueries
∟ 📂 Multi-Row Subqueries
∟ 📂 Correlated Subqueries
∟📂 Window Functions Magic
∟ 📂 ROW_NUMBER()
∟ 📂 RANK()
∟ 📂 DENSE_RANK()
∟📂 Crafting CTEs
∟ 📂 Common Table Expressions Intro
∟ 📂 Recursive CTEs
∟📂 Indexing Demystified
∟ 📂 Importance of Indexes
∟ 📂 Types of Indexes
∟ 📂 Indexing Best Practices
∟📂 Designing Databases
∟📂 Normalization Deep Dive
∟ 📂 1NF, 2NF, 3NF Explained
∟ 📂 Denormalization Pros and Cons
∟📂 ER Modeling Essence
∟ 📂 Entities and Attributes
∟ 📂 Relationships and Cardinality
∟ 📂 Creating ER Diagrams
∟📂 Boosting Performance
∟ 📂 Query Optimization Tips
∟ 📂 Dealing with Large Datasets
∟📂 Real-World Impact
∟📂 Business Intelligence
∟ 📂 Creating Business Reports
∟ 📂 Key Performance Indicators (KPIs)
∟📂 Visualizing Data
∟ 📂 Charts and Graphs
∟ 📂 Data Dashboards
∟📂 Automating Reports
∟ 📂 Scheduled Jobs
∟ 📂 Email Notifications
∟📂 Stored Success
∟ ✅ Start your journey here
🔐 Unleash the Power of SQL! 🚀
