Data Analytics
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Dive into the world of Data Analytics โ€“ uncover insights, explore trends, and master data-driven decision making.

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๐Ÿ“š Become a SQL Professional OVERNIGHT (2023)

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๐Ÿ’ฌ Tags: #SQL

๐Ÿ‘‰ BEST DATA SCIENCE CHANNELS ON TELEGRAM ๐Ÿ‘ˆ
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๐Ÿ“š Simply SQL (2024)

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๐Ÿ“š SQL QuickStart Guide (2024)

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๐Ÿ“š Practical SQL (2024)

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๐Ÿ“š NoSQL and SQL Data Modeling (2019)

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๐Ÿ“š SQL: 68 Things Beginners Need to Know

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๐Ÿš€ New to SQL?

Hereโ€™s a roadmap to get you started, step-by-step!
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(Don't forget to bookmark for later!!
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#SQL #ROADMAP

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MySQL Cheat Sheet

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SQL basic commands

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Free Certification Courses to Learn Data Analytics in 2025:

1. Python
๐Ÿ”— https://imp.i384100.net/5gmXXo

2. SQL
๐Ÿ”— https://edx.org/learn/relational-databases/stanford-university-databases-relational-databases-and-sql

3. Statistics and R
๐Ÿ”— https://edx.org/learn/r-programming/harvard-university-statistics-and-r

4. Data Science: R Basics
๐Ÿ”—https://edx.org/learn/r-programming/harvard-university-data-science-r-basics

5. Excel and PowerBI
๐Ÿ”— https://learn.microsoft.com/en-gb/training/paths/modern-analytics/

6. Data Science: Visualization
๐Ÿ”—https://edx.org/learn/data-visualization/harvard-university-data-science-visualization

7. Data Science: Machine Learning
๐Ÿ”—https://edx.org/learn/machine-learning/harvard-university-data-science-machine-learning

8. R
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9. Tableau
๐Ÿ”—https://imp.i384100.net/MmW9b3

10. PowerBI
๐Ÿ”— https://lnkd.in/dpmnthEA

11. Data Science: Productivity Tools
๐Ÿ”— https://lnkd.in/dGhPYg6N

12. Data Science: Probability
๐Ÿ”—https://mygreatlearning.com/academy/learn-for-free/courses/probability-for-data-science

13. Mathematics
๐Ÿ”—https://matlabacademy.mathworks.com

14. Statistics
๐Ÿ”— https://lnkd.in/df6qksMB

15. Data Visualization
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16. Machine Learning
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17. Deep Learning
๐Ÿ”— https://imp.i384100.net/R5aPOR

18. Data Science: Linear Regression
๐Ÿ”—https://pll.harvard.edu/course/data-science-linear-regression/2023-10

19. Data Science: Wrangling
๐Ÿ”—https://edx.org/learn/data-science/harvard-university-data-science-wrangling

20. Linear Algebra
๐Ÿ”— https://pll.harvard.edu/course/data-analysis-life-sciences-2-introduction-linear-models-and-matrix-algebra

21. Probability
๐Ÿ”— https://pll.harvard.edu/course/data-science-probability

22. Introduction to Linear Models and Matrix Algebra
๐Ÿ”—https://edx.org/learn/linear-algebra/harvard-university-introduction-to-linear-models-and-matrix-algebra

23. Data Science: Capstone
๐Ÿ”— https://edx.org/learn/data-science/harvard-university-data-science-capstone

24. Data Analysis
๐Ÿ”— https://pll.harvard.edu/course/data-analysis-life-sciences-4-high-dimensional-data-analysis

25. IBM Data Science Professional Certificate
https://imp.i384100.net/9gxbbY

26. Neural Networks and Deep Learning
https://imp.i384100.net/DKrLn2

27. Supervised Machine Learning: Regression and Classification
https://imp.i384100.net/g1KJEA

#DataAnalytics #Python #SQL #RProgramming #DataScience #MachineLearning #DeepLearning #Statistics #DataVisualization #PowerBI #Tableau #LinearRegression #Probability #DataWrangling #Excel #AI #ArtificialIntelligence #BigData #DataAnalysis #NeuralNetworks #SupervisedLearning #IBMDataScience #FreeCourses #Certification #LearnDataScience
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20 most common SQL Interview Questions.

#SQL #Interview

Donโ€™t skip no. 15๐Ÿ”ฅ๐Ÿ“ท

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๐Ÿ“– Keys In #SQL With Tables Well Explained

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๐Ÿ“–  SQL CheatSheet Full Course


#SQL #DATABASE #LEARN

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#๐—ฆ๐—ค๐—Ÿ ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—–๐—ต๐—ฒ๐—ฎ๐˜๐˜€๐—ต๐—ฒ๐—ฒ๐˜ โ†’ ๐—–๐—ฟ๐—ฎ๐—ฐ๐—ธ ๐—”๐—ป๐˜† ๐—œ๐—ป๐˜๐—ฒ๐—ฟ๐˜ƒ๐—ถ๐—ฒ๐˜„ ๐—ช๐—ถ๐˜๐—ต ๐—ง๐—ต๐—ฒ๐˜€๐—ฒ ๐—–๐—ผ๐—ป๐—ฐ๐—ฒ๐—ฝ๐˜๐˜€

โžœ ๐Ÿญ. ๐—ฆ๐—ค๐—Ÿ ๐—๐—ผ๐—ถ๐—ป๐˜€ โ†’ Combine data from multiple tables
๐Ÿก† INNER JOIN โ†’ Returns matching records from both tables
๐Ÿก† LEFT JOIN โ†’ Returns all records from the left table + matches from the right
๐Ÿก† RIGHT JOIN โ†’ Returns all records from the right table + matches from the left
๐Ÿก† FULL JOIN โ†’ Returns all records from both tables

โžœ ๐Ÿฎ. ๐——๐—”๐—ง๐—” ๐—™๐—œ๐—Ÿ๐—ง๐—˜๐—ฅ๐—œ๐—ก๐—š โ†’ Retrieve specific records efficiently
๐Ÿก† WHERE โ†’ Filters rows before aggregation
๐Ÿก† HAVING โ†’ Filters after aggregation
๐Ÿก† BETWEEN, IN, LIKE โ†’ Advanced filtering

โžœ ๐Ÿฏ. ๐—”๐—š๐—š๐—ฅ๐—˜๐—š๐—”๐—ง๐—œ๐—ข๐—ก & ๐—š๐—ฅ๐—ข๐—จ๐—ฃ๐—œ๐—ก๐—š โ†’ Summarize data
๐Ÿก† GROUP BY โ†’ Groups data based on a column
๐Ÿก† COUNT, SUM, AVG, MIN, MAX โ†’ Perform calculations

โžœ ๐Ÿฐ. ๐—ฆ๐—จ๐—•๐—ค๐—จ๐—˜๐—ฅ๐—œ๐—˜๐—ฆ & ๐—–๐—ง๐—˜๐˜€ โ†’ Break complex queries
๐Ÿก† Subquery โ†’ Nested query inside another query
๐Ÿก† Common Table Expressions (CTE) โ†’ Temporary named query

โžœ ๐Ÿฑ. ๐—œ๐—ก๐——๐—˜๐—ซ๐—œ๐—ก๐—š & ๐—ข๐—ฃ๐—ง๐—œ๐— ๐—œ๐—ญ๐—”๐—ง๐—œ๐—ข๐—ก โ†’ Speed up queries
๐Ÿก† Indexes โ†’ Improve search speed
๐Ÿก† EXPLAIN PLAN โ†’ Analyze query performance

โžœ ๐Ÿฒ. ๐—”๐——๐—ฉ๐—”๐—ก๐—–๐—˜๐—— ๐—ฆ๐—ค๐—Ÿ ๐—ง๐—ข๐—ฃ๐—œ๐—–๐—ฆ
๐Ÿก† Window Functions โ†’ RANK, ROW_NUMBER, LEAD, LAG
๐Ÿก† Stored Procedures & Triggers โ†’ Automate tasks
๐Ÿก† Normalization & Denormalization โ†’ Optimize database design

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SQL Query Optimaztion.pdf
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Your SQL query is running.

And running.

And ruuunnniiiiiiiing....โฑ๏ธโฑ๏ธโฑ๏ธโฑ๏ธ

Not so great for a tool meant to enable us quicker access to data, right?

Swipe for a few tips on how to optimize your #SQL queries, and not let them become a bottleneck in your reporting process.

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