#Sed Command For Data Analysis

Fundamentals Every Data Analyst Must Master!📊 SQL is one of the most important skills for anyone working with data🚀 Before jumping into advanced queries, it's crucial to build a strong foundation - because every dashboard, report, and analysis starts with structured data. Here are key SQL concepts every beginner should understand:⤵️ ✅Databases & Tables - how data is stored in rows and columns ✅Core Commands - CREATE, INSERT, SELECT, UPDATE, DELETE ✅Filtering Data - using WHERE, IN, BETWEEN, and LIKE ✅Sorting & Grouping - ORDER BY, GROUP BY, and HAVING ✅Handling Missing Values - working with NULL, IS NULL, IS NOT NULL ✅Data Integrity Rules - constraints like PRIMARY KEY and FOREIGN KEY ✅Combining Results - UNION, INTERSECT, EXCEPT SQL isn't just a tool - it's the language of structured data. If you're learning data analytics, mastering these fundamentals will take you very far. Do well to follow @analyst_shubhi for more posts on Data analysis, Data science, Al and Machine learning. #SQL #DataAnalytics #DataScience #LearningSQL #Database

SQL Commands Explained – Complete SQL Chart (Light Theme) Master SQL fundamentals at a glance with this clean, professional SQL command chart. This visual breakdown covers DQL, DML, DDL, joins, functions, and window functions — perfect for beginners, students, and working professionals. 💡 What you’ll learn in this video: 🔹 SQL Command Types (DQL, DML, DDL) 🔹 SELECT, INSERT, UPDATE, DELETE 🔹 WHERE, GROUP BY, ORDER BY 🔹 JOINS (INNER, LEFT, RIGHT, FULL) 🔹 Aggregate & Window Functions 🔹 Real-world SQL structure simplified 🚀 Ideal for: 👨‍💻 Data Analysts 👩‍💻 SQL Developers 📈 Data Engineers 🎓 Students & Interview Prep Save this video 📌 and come back whenever you need a quick SQL refresher. 🔑 Relevant Keywords SQL tutorial, SQL commands, SQL chart, SQL basics, SQL for beginners, DML DDL DQL, SQL joins, SQL functions, SQL window functions, SQL interview questions, SQL cheat sheet, data analyst SQL, database fundamentals 🏷️ Hashtags (Optimized for Reach) #SQL #SQLTutorial #SQLCommands #DataAnalytics #DataScience

Data Analytics Road map (6-9 months) https://drive.google.com/drive/folders/17KOCp6F1JGqOCwIdryzcDykNCSu93Ltc?usp=sharing Built from my personal interview experiences(Interviews given - 5+) Duration - 1-2 Months - Basics Learn basic - intermediate SQL(joins) from youtube/udemy Basic Python from youtube/udemy/Leetcode Basic Excel Duration 2-3 Months - Intermediate Practice intermediate to advanced SQL on Data Lemur/Leetcode/WiseOwl Practice easy-intermediate python questions on Leetcode/Hackerrank Start BI - Power BI tutorial from youtube/udemy Duration 3-4 Months - Advanced Learn Pandas/pyspark, practice EDA on csv files from Kaggle datasets on jupyter notebook/colab Practice advanced SQL questions(window functions) Build BI projects from kaggle datasets/Datacamp Github profile to showcase your projects + LinkedIn Theoretical knowledge on ETL pipelines/ Data warehousing concepts(Chat GPT) Resources SQL - Theory - W3Schools(free)/Udemy(paid), Practice - Leetcode/Data Lemur Python - Theory - Youtube/Udemy, Practice - Leetcode(easy to medium) Data Warehousing+ETL - Tutorials Point/Udemy, Datacamp/Chat GPT Power BI/Tableau - Datacamp, wiseowl Pandas/Pyspark - Datacamp, Leetcode, Kaggle Basic Excel . . . . . . #big4 #fyp #data #analytics #ootd #grwm

FREE YOUTUBE RESOURCES & ⭐BONUS Excel: Excelsfun SQL: techTFQ Statistics: StatQuest Python: Bro Code PowerBI: Guy in a Cube Tableau: Tableau Tim Data Analysis: Alex The Analyst ⭐Machine Learning & Deep Learning: CampusX & Sentdex 🏆 Follow @datasciencebrain #dsbrain for more amazing Data Science resources and News 📌Tag your friends who would like to know about this • • • • • #tableau #datascience #dataanalytics #dataanalysis #dataanalyst #datascientist #datacleaning #statistics #python #sql #dataengineering #powerbi #pandas #datavisualization #machinelearning #deeplearning #datasciencejobs #datascienceinternship #datascienceroadmap #learndatascience #bitools #datascienceinterview #datasciencebooks #ai

Here is your guide to data analysis 🧐 . . . . . . [data analytics, corporate, education, job switch]

DATA ANALYTICS ROADMAP (0 → Job Ready) Reality check: You don’t need coding mastery, fancy degrees, or 10 tools. You need strong basics + projects + storytelling + consistency. PHASE 0: Mindset & Setup (1 Week) What to understand first Data Analytics ≠ Data Science Your job is to answer business questions using data Tools are secondary, thinking is primary Setup Laptop Google account Install: Excel / Google Sheets MySQL / PostgreSQL VS Code or Jupyter Notebook Power BI (free version) PHASE 1: EXCEL (Foundation Tool) – 2 to 3 Weeks 80% companies still test Excel in interviews What to learn (IN THIS ORDER) Basics Rows, columns, formatting Functions SUM, AVERAGE, COUNT IF, AND, OR VLOOKUP / XLOOKUP INDEX + MATCH Data Cleaning Remove duplicates Text to columns TRIM, CLEAN Pivot Tables Grouping Filters Charts Bar, Line, Pie Mini Project 👉 Sales Analysis Dashboard in Excel Monthly sales Top products Region-wise revenue 📌 This becomes Project 1 PHASE 2: SQL (MOST IMPORTANT) – 3 to 4 Weeks SQL is a job gatekeeper. No SQL = No shortlist. What to learn Basics SELECT, WHERE, ORDER BY Filtering AND, OR, IN, BETWEEN, LIKE Aggregations COUNT, SUM, AVG GROUP BY, HAVING Joins INNER LEFT RIGHT Subqueries Window Functions ROW_NUMBER RANK DENSE_RANK Practice Write daily 5–10 queries Explain your logic in words Project 👉 E-commerce Database Analysis Top customers Repeat orders Revenue trends 📌 Project 2 PHASE 3: PYTHON (Only What You Need) – 3 Weeks You are not becoming a Python developer What to learn Basics Variables Loops Conditions Libraries NumPy Pandas Matplotlib / Seaborn Data Tasks Read CSV Handle missing values Filter & sort data Simple EDA Project 👉 Diwali Sales / Zomato / Netflix Data Analysis Clean data Insights Visualizations 📌 Project 3 PHASE 4: POWER BI / TABLEAU – 2 Weeks This is where you look job-ready What to learn Data Import Relationships DAX Basics SUM CALCULATE FILTER Dashboards Storytelling Project 👉 Business Performance Dashboard KPIs Trends Insights slide 📌 Project 4 Comment for complete roadmap and resources✨

Repost to share with friends ♻️ Here’s how to become a data analyst in 2026 and beyond? 📈 The original video was 5 minutes long and I had to cut it down to 3 minutes because instagram. One part that got cut off was the job market. Should I post a part 2? what are other skills that would you add to the list?? #dataanalysis #dataanalyst #sql #python

Comment - Excel - to get the document containing required Excel Topics for Data Analyst role with free resources to learn. #dataanalyst #datascience #job #interview #hiring #excel

🚀 2-Month Roadmap to Data Analyst Mastery 📊 👉 SAVE THIS to become data Pro! 👈 Otherwise, you’ll miss out on learning how to become an SQL Expert! Month 1: Week 1-2: 📚 Foundation Building: • Master the basics of statistics, SQL, and Python/R through online courses and tutorials. Focus on understanding data structures and manipulation. Week 3-4: 🔍 Dive into Data Exploration: • Practice data analysis techniques using datasets from platforms like Kaggle. Learn to clean, preprocess, and visualize data to extract meaningful insights. Month 2: Week 1-2: 💼 Real-world Applications: • Engage in hands-on projects or internships to apply your skills to real business problems. Collaborate with peers and seek feedback to refine your approach. Week 3-4: 📈 Advanced Techniques: • Explore advanced topics such as machine learning algorithms, predictive modeling, and data storytelling. Experiment with different tools and techniques to enhance your analytical capabilities. 🎓 Congratulations! You’ve completed your 2-month journey to becoming a proficient data analyst. Remember to stay curious, keep learning, and embrace challenges as opportunities for growth. #DataAnalyst #CareerGrowth #DataSkills 🌟 #sqldatabase #sqlite #datascientist #datasciences #sqltraining #sqlinterview #dataanalystics #dataanalysis

Comment “LINK” for the links! You’ll Never Struggle With Data Structures & Algorithms Again 🚀 🔗 Check out these free DSA visualization tools: 1️⃣ visualgo.net 2️⃣ cs.usfca.edu 3️⃣ csvistool.com Stop memorizing code without understanding it. Watch every algorithm come to life — arrays, linked lists, stacks, queues, trees, graphs, sorting, searching, and more. These interactive platforms break down each step so you can clearly see how data moves and how operations actually work. Whether you’re preparing for coding interviews, studying computer science, or just getting started with DSA, this is one of the fastest ways to truly understand the fundamentals. Save this, share it, and turn complex algorithms into clear visuals you’ll remember forever.

People are spending ₹10,000–₹20,000 on data analytics courses…👇🏻✅🤑🤯 but most of that content is already available for free. The real problem is not lack of resources… 👉 it’s lack of practice and direction Platforms like: 👉 Kaggle (real-world datasets + projects) 👉 YouTube (structured learning if used right) 👉 GitHub (real project exposure) can actually teach you more than most paid courses — if you use them properly. Don’t just keep learning… 👉 start building. Save this if you’re serious about your data career. #DataAnalytics #LearnDataAnalytics #TechCareers #CareerGrowth #dataanalyst

5 Power BI concepts used for data visualization and analysis: 1. DAX 2. Measures 3. Power Query 4. Data modelling 5. Calculated columns What other Power BI concepts do you use? #dataanalytics #dataengineering #datascience #techtok