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𝗙𝗥𝗘𝗘 𝗥𝗲𝘀𝗼𝘂𝗿𝗰𝗲𝘀 𝘁𝗼 𝗟𝗲𝗮𝗿𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀! 📊🚀 Want to master data analytics? Here are top free courses, books, and certifications to help you get started with Power BI, Tableau, Python, and Excel. 𝐋𝐢𝐧𝐤👇 https://pdlink.in/41Fx3PW All The Best 💥

Goldman Sachs senior data analyst interview asked questions SQL 1 find avg of salaries department wise from table 2 Write a SQL query to see employee name and manager name using a self-join on 'employees' table with columns 'emp_id', 'name', and 'manager_id'. 3 newest joinee for every department (solved using lead lag) POWER BI 1. What does Filter context in DAX mean? 2. Explain how to implement Row-Level Security (RLS) in Power BI. 3. Describe different types of filters in Power BI. 4. Explain the difference between 'ALL' and 'ALLSELECTED' in DAX. 5. How do you calculate the total sales for a specific product using DAX? PYTHON 1. Create a dictionary, add elements to it, modify an element, and then print the dictionary in alphabetical order of keys. 2. Find unique values in a list of assorted numbers and print the count of how many times each value is repeated. 3. Find and print duplicate values in a list of assorted numbers, along with the number of times each value is repeated. I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://t.me/DataSimplifier Hope this helps you 😊

𝗧𝗼𝗽 𝟱 𝗙𝗿𝗲𝗲 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗬𝗼𝘂 𝗖𝗮𝗻 𝗘𝗻𝗿𝗼𝗹𝗹 𝗜𝗻 𝗧𝗼𝗱𝗮𝘆!😍 In today’s fast-paced tech industry, staying ahead requires continuous learning and upskilling✨️ Fortunately, 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁 is offering 𝗳𝗿𝗲𝗲 𝗰𝗲𝗿𝘁𝗶𝗳𝗶𝗰𝗮𝘁𝗶𝗼𝗻 𝗰𝗼𝘂𝗿𝘀𝗲𝘀 that can help beginners and professionals enhance their 𝗲𝘅𝗽𝗲𝗿𝘁𝗶𝘀𝗲 𝗶𝗻 𝗱𝗮𝘁𝗮, 𝗔𝗜, 𝗦𝗤𝗟, 𝗮𝗻𝗱 𝗣𝗼𝘄𝗲𝗿 𝗕𝗜 without spending a dime!⬇️ 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3DwqJRt Start a career in tech, boost your resume, or improve your data skills✅️

Essential Topics to Master Data Science Interviews: 🚀 SQL: 1. Foundations - Craft SELECT statements with WHERE, ORDER BY, GROUP BY, HAVING - Embrace Basic JOINS (INNER, LEFT, RIGHT, FULL) - Navigate through simple databases and tables 2. Intermediate SQL - Utilize Aggregate functions (COUNT, SUM, AVG, MAX, MIN) - Embrace Subqueries and nested queries - Master Common Table Expressions (WITH clause) - Implement CASE statements for logical queries 3. Advanced SQL - Explore Advanced JOIN techniques (self-join, non-equi join) - Dive into Window functions (OVER, PARTITION BY, ROW_NUMBER, RANK, DENSE_RANK, lead, lag) - Optimize queries with indexing - Execute Data manipulation (INSERT, UPDATE, DELETE) Python: 1. Python Basics - Grasp Syntax, variables, and data types - Command Control structures (if-else, for and while loops) - Understand Basic data structures (lists, dictionaries, sets, tuples) - Master Functions, lambda functions, and error handling (try-except) - Explore Modules and packages 2. Pandas & Numpy - Create and manipulate DataFrames and Series - Perfect Indexing, selecting, and filtering data - Handle missing data (fillna, dropna) - Aggregate data with groupby, summarizing data - Merge, join, and concatenate datasets 3. Data Visualization with Python - Plot with Matplotlib (line plots, bar plots, histograms) - Visualize with Seaborn (scatter plots, box plots, pair plots) - Customize plots (sizes, labels, legends, color palettes) - Introduction to interactive visualizations (e.g., Plotly) Excel: 1. Excel Essentials - Conduct Cell operations, basic formulas (SUMIFS, COUNTIFS, AVERAGEIFS, IF, AND, OR, NOT & Nested Functions etc.) - Dive into charts and basic data visualization - Sort and filter data, use Conditional formatting 2. Intermediate Excel - Master Advanced formulas (V/XLOOKUP, INDEX-MATCH, nested IF) - Leverage PivotTables and PivotCharts for summarizing data - Utilize data validation tools - Employ What-if analysis tools (Data Tables, Goal Seek) 3. Advanced Excel - Harness Array formulas and advanced functions - Dive into Data Model & Power Pivot - Explore Advanced Filter, Slicers, and Timelines in Pivot Tables - Create dynamic charts and interactive dashboards Power BI: 1. Data Modeling in Power BI - Import data from various sources - Establish and manage relationships between datasets - Grasp Data modeling basics (star schema, snowflake schema) 2. Data Transformation in Power BI - Use Power Query for data cleaning and transformation - Apply advanced data shaping techniques - Create Calculated columns and measures using DAX 3. Data Visualization and Reporting in Power BI - Craft interactive reports and dashboards - Utilize Visualizations (bar, line, pie charts, maps) - Publish and share reports, schedule data refreshes Statistics Fundamentals: - Mean, Median, Mode - Standard Deviation, Variance - Probability Distributions, Hypothesis Testing - P-values, Confidence Intervals - Correlation, Simple Linear Regression - Normal Distribution, Binomial Distribution, Poisson Distribution. Show some ❤️ if you're ready to elevate your data science journey! 📊 ENJOY LEARNING 👍👍

Excel Formulas

𝗙𝗿𝗲𝗲 𝗧𝗖𝗦 𝗶𝗢𝗡 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗨𝗽𝗴𝗿𝗮𝗱𝗲 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀!😍 Looking to boost your career with free online courses? 🎓 TCS iON, a leading digital learning platform from Tata Consultancy Services (TCS), offers a variety of free courses across multiple domains!📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3Dc0K1S Start learning today and take your career to the next level!✅️

5 Data Analytics Project Ideas to boost your resume: 1. Stock Market Portfolio Optimization 2. YouTube Data Collection & Analysis 3. Elections Ad Spending & Voting Patterns Analysis 4. EV Market Size Analysis 5. Metro Operations Optimization

𝟯𝟬 𝗠𝗼𝘀𝘁 𝗖𝗼𝗺𝗺𝗼𝗻 𝗗𝗮𝘁𝗮 𝗔𝗻𝗮𝗹𝘆𝘁𝗶𝗰𝘀 𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄 𝗤𝘂𝗲𝘀𝘁𝗶𝗼𝗻𝘀 𝗬𝗼𝘂 𝗠𝘂𝘀𝘁 𝗞𝗻𝗼𝘄!😍 Are you preparing for a Data Analytics interview?🗣 Hiring managers often ask a mix of technical & problem-solving questions to evaluate your skills in SQL, Python, Excel, data visualization, & case studies🎯 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4hbmjxf Which question do you find the toughest? Drop a comment below!⬇️

Basic SQL Commands ✅

𝗙𝗿𝗲𝗲 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝘁𝗼 𝗕𝗼𝗼𝘀𝘁 𝗬𝗼𝘂𝗿 𝗦𝗸𝗶𝗹𝗹𝘀 𝗶𝗻 𝟮𝟬𝟮𝟱!😍 Want to upgrade your tech & data skills without spending a penny?🔥 These 𝗙𝗥𝗘𝗘 courses will help you master 𝗘𝘅𝗰𝗲𝗹, 𝗔𝗜, 𝗖 𝗽𝗿𝗼𝗴𝗿𝗮𝗺𝗺𝗶𝗻𝗴, & 𝗣𝘆𝘁𝗵𝗼𝗻 Interview Prep!📊 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/4ividkN Start learning today & take your career to the next level!✅️

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How to become a Data Analyst in 2025

Data Analytics tools

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✅ 𝐇𝐨𝐰 𝐭𝐨 𝐁𝐮𝐢𝐥𝐝 𝐚 𝐂𝐚𝐫𝐞𝐞𝐫 𝐚𝐬 𝐚 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐢𝐧 𝟐𝟎𝟐𝟓 🧑‍💻 If you are thinking about becoming a data analyst, 2025 is the perfect year to start. Companies need people who can understand data and turn it into useful insights. Here’s a simple step-by-step guide to help you start your journey. 𝟏. 𝐃𝐚𝐭𝐚 𝐀𝐧𝐚𝐥𝐲𝐬𝐭 𝐑𝐨𝐥𝐞 A data analyst collects and studies data to help companies make better decisions. They find trends, create reports, and suggest solutions to business problems. 𝟐. 𝐋𝐞𝐚𝐫𝐧 𝐍𝐞𝐜𝐞𝐬𝐬𝐚𝐫𝐲 𝐒𝐤𝐢𝐥𝐥𝐬 𝐄𝐱𝐜𝐞𝐥: Start with PivotTables, VLOOKUP, and creating dashboards. 𝐒𝐐𝐋: Master queries to extract and manipulate data. 𝐃𝐚𝐭𝐚 𝐕𝐢𝐬𝐮𝐚𝐥𝐢𝐳𝐚𝐭𝐢𝐨𝐧 𝐓𝐨𝐨𝐥𝐬: Learn Power BI and Tableau to present insights effectively. 𝐏𝐲𝐭𝐡𝐨𝐧: Focus on libraries like Pandas, NumPy, Matplotlib, and Seaborn. 𝐒𝐭𝐚𝐭𝐢𝐬𝐭𝐢𝐜𝐬: Basic concepts- mean, median, mode, standard deviation, regression. 𝟑. 𝐖𝐨𝐫𝐤 𝐨𝐧 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬 https://t.me/sqlproject https://t.me/pythonspecialist 𝟒. 𝐆𝐚𝐢𝐧 𝐂𝐞𝐫𝐭𝐢𝐟𝐢𝐜𝐚𝐭𝐢𝐨𝐧 Certifications add credibility to your resume. Some popular ones include: Google Data Analytics Professional Certificate Microsoft Certified: Data Analyst Associate Tableau Desktop Specialist Certification 𝟓. 𝐂𝐫𝐞𝐚𝐭𝐞 𝐏𝐨𝐫𝐭𝐟𝐨𝐥𝐢𝐨 𝐋𝐢𝐧𝐤𝐞𝐝𝐈𝐧: Treat your LinkedIn profile as your portfolio. Update it with skills, certifications, and projects. 𝐆𝐢𝐭𝐇𝐮𝐛: Add links to your GitHub repositories with coding projects and Power BI/Tableau dashboards. 𝟔. 𝐆𝐚𝐢𝐧 𝐏𝐫𝐚𝐜𝐭𝐢𝐜𝐚𝐥 𝐄𝐱𝐩𝐞𝐫𝐢𝐞𝐧𝐜𝐞 (𝐅𝐨𝐫 𝐅𝐫𝐞𝐬𝐡𝐞𝐫𝐬) If you're a fresher, here are some ideas to gain experience: 𝐈𝐧𝐭𝐞𝐫𝐧𝐬𝐡𝐢𝐩𝐬: Apply for internships at companies where you can work on real data problems. 𝐅𝐫𝐞𝐞𝐥𝐚𝐧𝐜𝐢𝐧𝐠: Offer data analysis services on platforms like Upwork, Fiverr, or Freelancer. 𝐏𝐞𝐫𝐬𝐨𝐧𝐚𝐥 𝐏𝐫𝐨𝐣𝐞𝐜𝐭𝐬: Build your own projects, such as analyzing public datasets (e.g., from Kaggle), and share them on GitHub. 𝐎𝐧𝐥𝐢𝐧𝐞 𝐂𝐨𝐦𝐩𝐞𝐭𝐢𝐭𝐢𝐨𝐧𝐬: Participate in data analysis competitions on Kaggle or DrivenData to build your skills and gain recognition. 𝐎𝐩𝐞𝐧-𝐒𝐨𝐮𝐫𝐜𝐞: Contribute to open-source data analysis projects on GitHub. 𝟕. 𝐒𝐭𝐚𝐫𝐭 𝐀𝐩𝐩𝐥𝐲𝐢𝐧𝐠 𝐟𝐨𝐫 𝐉𝐨𝐛𝐬 Tailor your resume and portfolio for each role. Highlight projects and key skills. Consider entry-level roles like: Junior Data Analyst, Business Analyst, Reporting Analyst Use platforms like LinkedIn & Naukri to apply for jobs.

𝟰 𝗠𝘂𝘀𝘁-𝗗𝗼 𝗙𝗥𝗘𝗘 𝗖𝗼𝘂𝗿𝘀𝗲𝘀 𝗳𝗼𝗿 𝗗𝗮𝘁𝗮 𝗦𝗰𝗶𝗲𝗻𝗰𝗲 𝗯𝘆 𝗠𝗶𝗰𝗿𝗼𝘀𝗼𝗳𝘁!😍 Want to stand out in Data Science?📍 These free courses by Microsoft will boost your skills and make your resume shine! 🌟 𝐋𝐢𝐧𝐤👇:- https://pdlink.in/3D3XOUZ 📢 Don’t miss out! Start learning today and take your data science journey to the next level! 🚀

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