Data Analytics & AI | SQL Interviews | Power BI Resources

𝗧𝗼𝗽 𝗠𝗡𝗖𝘀 𝗞𝗣𝗠𝗚 , 𝗦&𝗣 𝗚𝗹𝗼𝗯𝗮𝗹 & 𝗣𝘄𝗰 𝗵𝗶𝗿𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘀𝘁𝘀😍 Openings :- 50+ Office Location :- Hyderabad/Bangalore Expected Salary:- 6 To 15LPA KPMG:- https://bit.ly/4ja8QIo S&P Global :- https://bit.ly/4acOWbp Pwc :- https://bit.ly/40qapub Apply before the link expires

#meme

🚨 IIT Ropar AI Entrance Test – This Sunday! 📅 Date: 12th Jan 🌐 Mode: Online 💡 Who Can Apply? Anyone with logical thinking—no specific background required! Learn from IIT Professors like Prof. Sudarshan Iyengar and master the most in-demand skill: AI. ⚡ Limited slots! Register now: 👇 https://masaischool.com/iit-ropar-ai-cse?utm_source=U10&utm_medium=T

𝐀𝐈 & 𝐌𝐋 𝐅𝐑𝐄𝐄 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 𝐂𝐨𝐮𝐫𝐬𝐞𝐬 𝐅𝐫𝐨𝐦 𝐓𝐨𝐩 𝐈𝐧𝐬𝐭𝐢𝐭𝐮𝐭𝐢𝐨𝐧𝐬!😍 Explore these 6 amazing courses offered by the Government of India, Google, Harvard, MIT, and IBM. Gain hands-on knowledge in Generative AI, Python, Machine Learning, and AI’s impact on business strategy—all at no cost. Plus, you’ll earn certificates to boost your resume! 𝐋𝐢𝐧𝐤 👇:-    https://bit.ly/3ZZj9rc   Enroll For FREE & Get Certified 🎓

TYPES OF INTELLIGENCE 4 types of Intelligence: 1) Intelligence Quotient (IQ) 2) Emotional Quotient (EQ) 3) Social Quotient (SQ) 4) Adversity Quotient (AQ) 1. Intelligence Quotient (IQ): this is the measure of your level of comprehension. You need IQ to solve maths, memorize things, and recall lessons. 2. Emotional Quotient (EQ): this is the measure of your ability to maintain peace with others, keep to time, be responsible, be honest, respect boundaries, be humble, genuine and considerate. 3. Social Quotient (SQ): this is the measure of your ability to build a network of friends and maintain it over a long period of time. People that have higher EQ and SQ tend to go further in life than those with a high IQ but low EQ and SQ. Most schools capitalize on improving IQ levels while EQ and SQ are played down. Develop their IQ, as well as their EQ, SQ and AQ. They should become multifaceted human beings able to do things independently of their parents. 4. The Adversity Quotient (AQ): The measure of your ability to go through a rough patch in life, and come out of it without losing your mind. When faced with troubles, AQ determines who will give up, who will abandon their family, and who will consider suicide. Parents please expose your children to other areas of life than just Academics. They should adore manual labour (never use work as a form of punishment), Sports and Arts.

Python for Data Science

Most Important skills for AI 👇👇 https://datasimplifier.com/important-skills-for-ai/

Hey Guys👋, The Average Salary Of a Data Scientist is 14LPA  𝐁𝐞𝐜𝐨𝐦𝐞 𝐚 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐞𝐝 𝐃𝐚𝐭𝐚 𝐒𝐜𝐢𝐞𝐧𝐭𝐢𝐬𝐭 𝐈𝐧 𝐓𝐨𝐩 𝐌𝐍𝐂𝐬😍 We help you master the required skills. Learn by doing, build Industry level projects 👩‍🎓 1500+ Students Placed 💼 7.2 LPA Avg. Package 💰 41 LPA Highest Package 🤝 450+ Hiring Partners Apply for FREE👇 : https://tracking.acciojob.com/g/PUfdDxgHR ( Limited Slots )

𝗦𝗤𝗟 - How do you write a query to find duplicate rows in a table? - How would you perform a left join and filter out nulls in SQL? - What is a window function in SQL, and how do you use it for ranking data? - How do you calculate the cumulative sum for a column in SQL? - What is the difference between UNION and UNION ALL in SQL? 𝗣𝘆𝘁𝗵𝗼𝗻 - How do you import a CSV file into a pandas DataFrame, and how would you handle missing data? - How do you use list comprehensions to filter and transform data in Python? - What are the differences between the apply() and map() functions in pandas? - How do you visualize data using matplotlib or seaborn in Python? - How do you write a function to calculate the correlation between two numerical columns in a pandas DataFrame? 𝗘𝘅𝗰𝗲𝗹 - How would you use VLOOKUP or XLOOKUP to merge data between two Excel sheets? - What is the difference between absolute and relative cell references, and when would you use each? - How do you create a pivot table, and what types of data analysis can you perform with it? - How would you use conditional formatting to highlight cells that meet certain criteria? - How do you use the IF, AND, and OR functions together to create complex logical tests? 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 - How would you create and customize a calculated column in Power BI? - What is the difference between a slicer and a filter in Power BI, and when would you use each? - How do you create relationships between tables in Power BI, and how do they impact your data model? - How would you set up row-level security (RLS) to control access to sensitive data in Power BI? - What is the purpose of DAX functions like CALCULATE and FILTER, and how do you use them? 𝗧𝗮𝗯𝗹𝗲𝗮𝘂 - How do you create a calculated field in Tableau, and what types of calculations can you perform? - What is a parameter in Tableau, and how can it be used to create interactive dashboards? - How do you use a dual-axis chart in Tableau to show multiple measures in the same view? - How would you optimize a Tableau dashboard for performance when working with large datasets? - How do you create a custom date filter in Tableau to allow users to select specific date ranges? I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Like this post for more content like this 👍♥️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

𝐈𝐧𝐟𝐨𝐬𝐲𝐬 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐇𝐢𝐫𝐢𝐧𝐠 𝐃𝐫𝐢𝐯𝐞😍 Office Location:- Bangalore Role:- Data Analyst Qualification:- MCA,MTech,MBA,BTech,BCA,Bachelor of Engineering Expected Salary:- 10 To 25LPA 𝐀𝐩𝐩𝐥𝐲 𝐧𝐨𝐰👇:- https://pdlink.in/41QGJYs Apply before the link expires

Excel Cheatsheet

𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐭𝐢𝐜𝐬 𝐇𝐢𝐫𝐢𝐧𝐠 𝐃𝐫𝐢𝐯𝐞 😍 Company Name:- PwC Role:- Data Analytics Specialist - BI Engineer Work Location:- Bangalore Expected Salary:- 9 LPA Apply Link👇:- https://pdlink.in/3VVXYDQ Apply before the link expires

Useful Python for data science cheat sheets 👇

🧠 ChatGPT Learning Cheatsheet

Python List Methods

Data Analyst Roadmap: - Tier 1: Excel & SQL - Tier 2: Data Cleaning & Exploratory Data Analysis (EDA) - Tier 3: Data Visualization & Business Intelligence (BI) Tools - Tier 4: Statistical Analysis & Machine Learning Basics Then build projects that include: - Data Collection - Data Cleaning - Data Analysis - Data Visualization And if you want to make your portfolio stand out more: - Solve real business problems - Provide clear, impactful insights - Create a presentation - Record a video presentation - Target specific industries - Reach out to companies I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://topmate.io/analyst/861634 Hope this helps you 😊

Free Webinar to learn Artificial intelligence and Machine Learning 👇👇 https://link.guvi.in/SQLspecialist01243 In this Webinar, You Will Learn: ✅ Basics of  AI ✅ Essential tools & languages (Python, TensorFlow, etc.) ✅ Real-world AI applications ✅ Career roadmap to become an AI ✅ Tips from industry experts! This will help you to become a Successful AI Engineer! 💻✨ ENJOY LEARNING 👍👍