Data Analytics

The key to starting your data analysis career: ❌It's not your education ❌It's not your experience It's how you apply these principles: 1. Learn the job through "doing" 2. Build a portfolio 3. Make yourself known No one starts an expert, but everyone can become one. If you're looking for a career in data analysis, start by: ⟶ Watching videos ⟶ Reading experts advice ⟶ Doing internships ⟶ Building a portfolio ⟶ Learning from seniors You'll be amazed at how fast you'll learn and how quickly you'll become an expert. So, start today and let the data analysis career begin I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://lnkd.in/dF2KKWBY Hope it helps :)

Frequently asked SQL interview questions for Data Analyst/Data Engineer role- 1 - What is SQL and what are its main features? 2 - Order of writing SQL query? 3- Order of execution of SQL query? 4- What are some of the most common SQL commands? 5- What’s a primary key & foreign key? 6 - All types of joins and questions on their outputs? 7 - Explain all window functions and difference between them? 8 - What is stored procedure? 9 - Difference between stored procedure & Functions in SQL? 10 - What is trigger in SQL? 11 - Difference between where and having? Here you can find essential SQL Interview Resources👇 https://lnkd.in/dSkNTNw4 Like this post if you need more 👍❤️ ✅ Save this post for future reference Join our telegram channel for more SQL resources: https://t.me/sqlspecialist Hope it helps :)

Many people pay too much to learn Python, but my mission is to break down barriers. I have shared complete learning series to learn Python from scratch. Here are the links to the Python series Complete Python Topics for Data Analyst: https://lnkd.in/dmTaCBAw Part-1: https://lnkd.in/dX5DXyfK Part-2: https://lnkd.in/dwJpUedu Part-3: https://lnkd.in/dXrB_sb5 Part-4: https://lnkd.in/dTmuFpfw Part-5: https://lnkd.in/dtwfBvVj Part-6: https://lnkd.in/dZ6ZMh6P Part-7: https://lnkd.in/dM4tpZjK Part-8: https://lnkd.in/dkpC2ZPJ Part-9: https://lnkd.in/ddYG6gWv Part-10: https://lnkd.in/dfHvut4n Part-11: https://lnkd.in/ddYG6gWv Part-12: https://lnkd.in/d_CmZ9qv Part-13: https://lnkd.in/dJRJ9X-P Part-14: https://lnkd.in/dup_kKj8 Part-15: https://lnkd.in/dvxHqM5m I saw a lot of big influencers copy pasting my content after removing the credits. It's absolutely fine for me as more people are getting free education because of my content. But I will really appreciate if you share credits for the time and efforts I put in to create such valuable content. I hope you can understand. You can refer these amazing resources for Python Interview Preparation. Complete SQL Topics for Data Analysts: https://lnkd.in/dmFZH-TB Complete Power BI Topics for Data Analysts: https://lnkd.in/d4MKkwaH I'll continue with learning series on Excel & Tableau. Thanks to all who support our channel and share the content with proper credits. You guys are really amazing. Hope it helps :)

Commit and master 𝗦𝗤𝗟 in just 𝟯𝟬 𝗗𝗮𝘆𝘀! I've outlined a simple, actionable plan for you to follow… 𝗪𝗲𝗲𝗸 𝟭: 𝗕𝗮𝘀𝗶𝗰𝘀 𝗼𝗳 𝗦𝗤𝗟 ➛ Day 1-2: Introduction to SQL, setting up your environment (MySQL/PostgreSQL/SQL Server). ➛ Day 3-4: Understanding databases, tables, and basic SQL syntax. ➛ Day 5-7: Working with SELECT, WHERE, and filtering data. 𝗪𝗲𝗲𝗸 𝟮: 𝗖𝗼𝗿𝗲 𝗤𝘂𝗲𝗿𝗶𝗲𝘀 ➛ Day 8-10: Using JOINs – INNER, LEFT, RIGHT, FULL. ➛ Day 11-13: GROUP BY, HAVING, and aggregate functions (SUM, COUNT, AVG). ➛ Day 14: Practice session – write complex queries. 𝗪𝗲𝗲𝗸 𝟯: 𝗠𝗼𝗱𝗶𝗳𝘆𝗶𝗻𝗴 𝗗𝗮𝘁𝗮 ➛ Day 15-17: INSERT, UPDATE, DELETE – altering your data. ➛ Day 18-20: Subqueries, nested queries, and derived tables. ➛ Day 21: Practice session – work on a mini-project. 𝗪𝗲𝗲𝗸 𝟰: 𝗔𝗱𝘃𝗮𝗻𝗰𝗲𝗱 𝗦𝗤𝗟 𝗧𝗼𝗽𝗶𝗰𝘀 𝗮𝗻𝗱 𝗣𝗿𝗼𝗷𝗲𝗰𝘁 ➛ Day 22-24: Window functions, RANK, DENSE_RANK, ROW_NUMBER. ➛ Day 25-27: Creating and managing indexes, views, and stored procedures. ➛ Day 28-30: Capstone project – work with real-world data to design and query a database. Here you can find SQL Interview Resources👇 https://lnkd.in/dSkNTNw4 Like this post if you need more 👍❤️ Share with credits: https://t.me/sqlspecialist Hope it helps :)

How a SQL query gets executed internally - Lets see step by step! We all know SQL, but most of us do not understand the internals of it. Let me take an example to explain this better. Select p.plan_name, count(plan_id) as total_count From plans p Join subscriptions s on s.plan_id=p.plan_id Where p.plan_name !=’premium’ Group by p.plan_name Having count(plan_id) > 100 Order by p.plan_name Limit 10; Step 01: Get the table data required to run the sql query Operations: FROM, JOIN (From plans p, Join subscriptions s) Step 02: Filter the data rows Operations: WHERE (where p.plan_name=’premium’) Step 03: Group the data Operations: GROUP (group by p.plan_name) Step 04: Filter the grouped data Operations: HAVING (having count(plan_id) > 100) Step 05: Select the data columns Operations: SELECT (select p.plan_name, count(p.plan_id) Step 06: Order the data Operations: ORDER BY (order by p.plan_name) Step 07: Limit the data rows Operations: LIMIT (limit 100) Knowing the Internals really help. Here you can find essential SQL Interview Resources👇 https://lnkd.in/dSkNTNw4 Like this post if you need answer for the above question👍❤️ Hope it helps :)

Many people ask me why I share so much info on Data Analytics here for FREE: I didn’t know much about data analytics when I was in college. The fact that I was in engineering domain & still knew nothing about the data world. Access to this info should not be gated so I’m making it public. If you don't know about data analytics, you can join my telegram or whatsapp channel to access free resources https://lnkd.in/d-WfEbUN https://lnkd.in/ds3J-w4b Hope it helps :) #dataanalytivs #datascience #ai

SQL From Basic to Advanced level Basic SQL is ONLY 7 commands: - SELECT - FROM - WHERE (also use SQL comparison operators such as =, <=, >=, <> etc.) - ORDER BY - Aggregate functions such as SUM, AVERAGE, COUNT etc. - GROUP BY - CREATE, INSERT, DELETE, etc. You can do all this in just one morning. Once you know these, take the next step and learn commands like: - LEFT JOIN - INNER JOIN - LIKE - IN - CASE WHEN - HAVING (undertstand how it's different from GROUP BY) - UNION ALL This should take another day. Once both basic and intermediate are done, start learning more advanced SQL concepts such as: - Subqueries (when to use subqueries vs CTE?) - CTEs (WITH AS) - Stored Procedures - Triggers - Window functions (LEAD, LAG, PARTITION BY, RANK, DENSE RANK) These can be done in a couple of days. Learning these concepts is NOT hard at all - what takes time is practice and knowing what command to use when. How do you master that? - First, create a basic SQL project - Then, work on an intermediate SQL project (search online) - Lastly, create something advanced on SQL with many CTEs, subqueries, stored procedures and triggers etc. This is ALL you need to become a badass in SQL, and trust me when I say this, it is not rocket science. It's just logic. Best telegram channel to learn SQL 👇👇 https://t.me/sqlanalyst Remember that practice is the key here. It will be more clear and perfect with the continous practice Here you can find essential SQL Interview Resources👇 https://lnkd.in/dSkNTNw4 Like this post if you need more 👍❤️ Best Telegram channel for data analysts 👇👇 https://t.me/sqlspecialist Hope it helps :)

𝗜𝗻𝘁𝗲𝗿𝘃𝗶𝗲𝘄𝗲𝗿: You have only 2 minutes to solve this SQL query. Retrieve the employee names and their manager names from the employees table, where both the employee and manager work in the same department. 𝗠𝗲: Challenge accepted! SELECT e.employee_name, m.employee_name AS manager_name FROM employees e JOIN employees m ON e.manager_id = m.employee_id WHERE e.department = m.department;` I used a self-join to connect the employees table with itself, matching employees with their managers based on manager_id and employee_id. The ON condition specifies the relationship, and WHERE ensures both employee and manager are in the same department. This query demonstrates how self-joins allow us to link a table to itself to extract meaningful relationships between its rows. 𝗧𝗶𝗽 𝗳𝗼𝗿 𝗦𝗤𝗟 𝗝𝗼𝗯 𝗦𝗲𝗲𝗸𝗲𝗿𝘀: Understanding joins is crucial—INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL JOIN, and SELF JOIN each have unique applications. Master these to confidently navigate complex datasets and queries. I've compiled essential SQL Interview Resources 👇👇 https://lnkd.in/dSkNTNw4 Like this post if you need more 👍❤️ Hope it helps :)

SQL can be simple—if you learn it the smart way.. If you’re aiming to become a data analyst, mastering SQL is non-negotiable. Here’s a smart roadmap to ace it: 1. Basics First: Understand data types, simple queries (SELECT, FROM, WHERE). Master basic filtering. 2. Joins & Relationships: Dive into INNER, LEFT, RIGHT joins. Practice combining tables to extract meaningful insights. 3. Aggregations & Functions: Get comfortable with COUNT, SUM, AVG, MAX, GROUP BY, and HAVING clauses. These are essential for summarizing data. 4. Subqueries & Nested Queries: Learn how to query within queries. This is powerful for handling complex datasets. 5. Window Functions: Explore ranking, cumulative sums, and sliding windows to work with running totals and moving averages. 6. Optimization: Study indexing and query optimization for faster, more efficient queries. 7. Real-World Scenarios: Apply your SQL knowledge to solve real-world business problems. The journey may seem tough, but each step sharpens your skills and brings you closer to data analysis excellence. Stay consistent, practice regularly, and let SQL become your superpower! 💪 Here you can find essential SQL Interview Resources👇 https://lnkd.in/dSkNTNw4 Like this post if you need more 👍❤️ Hope it helps :)

You don't need to know everything about every data tool. Focus on what will help land you your job. For Excel: - IFS (all variations) - XLOOKUP - IMPORTRANGE (in GSheets) - Pivot Tables - Dynamic functions like TODAY() For SQL: - Sum - Group By - Window Functions - CTEs - Joins For Tableau: - Calculated Columns - Sets - Groups - Formatting For Power BI: - Power Query for data transformation - DAX (Data Analysis Expressions) for creating custom calculations - Relationships between tables - Creating interactive and dynamic dashboards - Utilizing slicers and filters effectively I have curated best 80+ top-notch Data Analytics Resources 👇👇 https://lnkd.in/dF2KKWBY Hope this helps you 😊