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This video on "SQL for Data Analytics 2023" by Simplilearn will help you understand the various skills needed for data analytics in SQL, and you will know how SQL is used for Data Analytics. This SQL tutorial will also help you master all the basic and advanced-level concepts of SQL programming, along with the demos for the same.
Below are the topics we have covered in this SQL For Data Analysis 2023 video.
00:00:00 Introduction to SQL
00:03:32 What is SQL Tutorial?
00:15.33 What is DBMS?
00:32:30 Installation of MySQL on PC
00:40:10 SQL Syntax, Data types, Commands
01:00:32 What are SQL Operators?
01:23:15 What are SQL Expressions?
01:34:02 How to create a database in MySQL?
01:40:44 What is SQL Table Tutorial?
01:57:39 SQL Select Statement tutorial
02:19:41 What is SQL Clause?
02:44:29 SQL Insert Statement tutorial
02:53:48 SQL Update Statement tutorial
03:01:12 SQL Delete Statement tutorial
03:10:21 What is SQL Join?
03:51:37 What are Keys in SQL?
04:04:53 What are Aggregate Functions?
04:21:12 What are Scalar Functions?
04:37:10 SQL Group by and Order by
04:57:08 How to use Where Clause in SQL?
05:01:24 SQL Where vs. Having Clause
05:21:15 What are Subqueries?
05:31:27 How to Create a user-defined Function in SQL?
05:42:51 What are Commit and Rollback in SQL?
05:58:35 SQL Like Clause Tutorial
06:11:52 How to find Nth highest Salary?
06:25:58 WebSQL Tutorial
06:41:00 Cast and Convert Function in SQL
06:57:21 What is View In SQL?
07:17:03 SQL Interview Questions for Beginners

Dataset Link: https://drive.google.com/drive..../folders/1U8CF0Xx3Ni

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What is SQL(Structured Query Language)?
SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system or for stream processing in a relational data stream management system.

✅ About Data Analyst Master's Program

This Data Analytics course in collaboration with IBM makes you a Data Analytics expert. Our Data Analyst course helps you learn analytics tools and techniques, how to work with SQL databases, R and Python, how to create data visualizations and apply statistics and predictive analytics in a business environment. This Data Analytics certification also features Masterclasses from IBM experts.

✅ What are the Data Analyst course learning objectives?

Simplilearn’s Data Analyst course delivered in collaboration with IBM will provide you with extensive expertise in the booming field of data analytics. This Data Analytics training will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extraction, and forecasting. Through this Data Analyst course, you will also gain expertise in data visualization techniques using Tableau and Power BI, and learn how to organize data and design dashboards.

✅ Why become a Data Analyst?

The World Economic Forum predicts that, by 2025, Data Analysts will be one of the hottest jobs on the market. Organizations view data analysis as one of the most crucial skills due to the value that they can help derive from data. With over 2.5 quintillion bytes of data created each day, data is more abundant and accessible than ever in today’s business environment, and with the ever-increasing skill gap in data analytics today, the value of Data Analysts is continuing to grow, creating new jobs, and career advancement opportunities.

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Developers who created the game Portal discuss problems they faced and how they solved them.

This beginner's course teaches the foundations of game development. This video is lecture 11 of CS50's Intro to Game Development from Harvard University.

Check out the full course playlist: https://www.youtube.com/playli....st?list=PLWKjhJtqVAb

⭐️Contents⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:01:58) What is a Portal?
⌨️ (0:04:40) Rendering
⌨️ (0:04:52) Texture vs Stencil Tradeoffs
⌨️ (0:09:35) Rendering Using Stencils
⌨️ (0:15:36) Duplicate Models
⌨️ (0:16:36) Clip Planes
⌨️ (0:17:44) Banana Juice
⌨️ (0:19:44) Recursion
⌨️ (0:23:19) Third Person Gotchas
⌨️ (0:24:48) Pixel Queries
⌨️ (0:26:34) Design
⌨️ (0:27:45) Prototyping in 2D
⌨️ (0:28:48) Training Basics
⌨️ (0:36:22) Portal Funnels
⌨️ (0:38:51) Aerial Faith Plates
⌨️ (0:39:34) Trigger Catapult
⌨️ (0:42:53) Portal Highlight
⌨️ (0:43:44) Portal Placement Helper
⌨️ (0:45:01) Fun Over Accurate Physics
⌨️ (0:46:54) Gels
⌨️ (0:48:09) Portal Gel
⌨️ (0:49:25) Cutting Sticky Gel
⌨️ (0:52:13) Cutting Portal Through Portal
⌨️ (0:53:02) Cutting Double Flings
⌨️ (0:54:31) Energy Ball To Laser
⌨️ (0:56:58) Combining Elements
⌨️ (0:57:35) Laser Introduction
⌨️ (0:57:52) Laser Saturation
⌨️ (0:58:41) Laser Graduation
⌨️ (0:59:14) Laser Combination
⌨️ (1:00:25) Physics
⌨️ (1:00:43) Volumes, Vectors, and Planes
⌨️ (1:03:41) Carving Holes
⌨️ (1:07:20) Collision Lists
⌨️ (1:08:50) Shadow Clones
⌨️ (1:11:32) Q&A
⌨️ (1:13:37) Reduce Rendering Frustum
⌨️ (1:41:05) In Conclusion

Lecture taught by Colton T. Ogden. Thanks to Harvard's CS50 for giving us permission to post this lecture. Checkout their YouTube channel for more great lectures: https://www.youtube.com/cs50

--

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Open AI’s Sam Altman - formerly CEO until his departure in November 2023 - sits down with Azeem Azhar to give his perspective on the evolution of artificial intelligence and its impact on politics, education and inequality.

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Welcome back to US Military Power Channel, today's episode we will uncover "The US Army's New Super Robo-Dog With Sniper Rifle".

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Вікно Еймса – це зображення, наприклад, на пласкому шматку картону, яке здається прямокутним вікном, але насправді є трапецією. Обидві сторони шматка картону мають однакове зображення. Картон підвішений вертикально на дроті, щоб він міг безперервно обертатися, або прикріплений до вертикальної осі, навколо якої неперервно обертається.
Під час обертання вікна здається, що обертання на мить зупиняється та змінює напрямок на протилежний. Тому воно не сприймається як безперервне обертання в одному напрямку, а натомість сприймається як коливання.
Кімната Еймса – приміщення неправильної форми, що використовується для створення тривимірної оптичної ілюзії. Була спроєктована американським офтальмологом Альбертом Еймсом в 1934 році й побудована в 1935 році.
Кімната Еймса побудована так, що спереду вона виглядає як звичайна кімната кубічної форми із задньою стінкою та двома боковими стінами, паралельними одна одній і перпендикулярними до горизонтальних площин підлоги і стелі. Проте дійсна форма кімнати трапецієподібна. [Wikipedia]

✅Текст читав: Андрій Горбунов (Lacuna)
✅Переклад, редагування, субтитрування: проєкт самоосвіти pre post, Віталій Шевчук (Цікава наука)

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💳 Приватбанк: 5168 7451 0521 3422
💳 Монобанк: 4441 1144 2309 4109 (Віталій Шевчук)

© Оригінальне відео: https://www.youtube.com/watch?v=dBap_Lp-0oc
© Канал Veritasium: https://www.youtube.com/c/veritasium (з люб’язного дозволу автора)
© Researched and written by Petr Lebedev and Derek Muller
Filmed by Derek Muller and Raquel Nuno
Animations, VFX, and Music by Jonny Hyman
Ames Room VFX and additional Ames Window animation by Nicolas Pratt
© Derek Muller
#SciTube #ЦікаваНаука #WatchUA

References:
Ames, A., Jr. (1951). Visual perception and the rotating trapezoidal window. Psychological Monographs: General and Applied, 65(7), i–32. https://doi.org/10.1037/h0093600
Marcel de Heer & Thomas V. Papathomas (2017) The Ames Window Illusion and Its Variations
DOI:10.1093/acprof:oso/9780199794607.003.0014
Oross, Stephen, Francis, Ellie, Mauk, Deborah & Fox, Robert. (1987). The Ames Window Illusion: Perception of Illusory Motion by Human Infants. Journal of Experimental Psychology: Human Perception & Performance, 13(4), 609-613.
Behrens, R. (1987). The Life and Unusual Ideas of Adelbert Ames, Jr. Leonardo, 20(3), 273-279. doi:10.2307/1578173
Burnham, C., & Ono, H. (1969). Variables Altering Perception of the Rotating Trapezoidal Illusion. The American Journal of Psychology, 82(1), 86-95. doi:10.2307/1420609
Allport, G. W., & Pettigrew, T. F. (1957). Cultural influence on the perception of movement: The trapezoidal illusion among Zulus. The Journal of Abnormal and Social Psychology, 55(1), 104–113. https://doi.org/10.1037/h0049372
Zenhausern R. Effect of Perspective on Two Trapezoid Illusions. Perceptual and Motor Skills. 1969;28(3):1003-1009. doi:10.2466/pms.1969.28.3.1003

While much of the world is focused on large language models, our Salesforce AI Research teams are looking at smaller models that offer unique advantages in speed, cost, and accessibility. In this episode, learn what Small Language Models are, how they work and how they can be used for task-specific situations like personal agents on wearable devices like smart watches and robotics.

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The AI Research Lab - Explained gives you a sneak peak of cutting-edge AI techniques developed by Salesforce’s very own AI Research group. Along the way, we’ll demystify complex concepts and share real-world insights—all from the forefront of research.

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This video by Simplilearn will list 5 Free Life Changing Certification Courses That You Should Enroll Now ! 🔥🔥
Certifications serve as evidence that you are qualified in a particular field, boosting a resume's value and aiding in landing a good career. A skill-up certification course from Simplilearn can open many doors for you if you are a graduate student or a beginner looking for a job in the IT industry. It may provide you with the technical skills you need to advance your career and earn lucrative pay packages.

✅ 00:00 - 5 Free Life-Changing Certification Courses
✅ 00:48 - DevOps course
✅ 01:41 - Cyber Security Course
✅ 02:35 - Digital Marketing Course
✅ 03:21 - AI and Machine Learning Courses
✅ 04:14 - Data Science Courses

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Data Science Full Course for Beginners by simplilearn is curated in collaboration with real-time industry experts. This Data Science Tutorial will help you learn data science in 12 hours. The data science course will cover the major data science concepts like Artificial Intelligence, Machine Learning, Deep Learning, Supervised Learning, Unsupervised Learning, Reinforcement learning and much more. this full course covers the following

00:00:00 Data Science Full Course
00:03:24 Introduction to Data Science
01:00:16 Data Analyst vs Data Scientist vs Data Engineer
01:07:49 Data Science Life Cycle
01:24:14 Statistic for Data Science
01:44:32 Types of Distribution in Statistics
02:09:17 Bayes Theorem
02:14:18 Introduction to Artificial Intelligence
02:18:07 Introduction to Machine Learning
02:26:49 Types of Machine Learning
02:44:14 Supervised Vs Unsupervised vs Reinforced Learning
03:21:14 Regression Analysis
03:27:35 Linear Regression
04:02:20 Logistic Regression
04:38:50 Linear vs Logistic Regression
05:04:26 Classification of Machine Learning
05:47:45 Decision Tree in Machine Learning
06:39:31 Random Forest Algorithm
07:24:11 K Means Clustering Algorithm
08:14:10 Naive Bayes Classifier
08:57:28 What is Deep Learning?
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09:55:56 Data Visualization - Tableau
10:42:34 Data Science Engineer Resume
10:47:30 Data Science Interview Questions

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First of all, we will understand what data science is. Data science is the field of study that works with massive amounts of data utilizing relevant tools and techniques to derive valuable data. Companies across various industries generate vast amounts of data, so its applications range all the way from education, healthcare, and entertainment to Finance and Marketing.

Data scientists operate in many different industries. Each has a distinct role to play in issue-solving and calls for specialist skills. These professions include data preparation, mining, modeling, and model management. Using machine learning algorithms, data scientists take raw data and turn it into a wealth of information that answers the use of machine learning algorithms.

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Learn the Swift programming language in this full tutorial for beginners.

In this video, we will go through every modern aspect of Swift as a programming language including, variables, constants, functions, structures, classes, protocols. extensions, asynchronous programming, generics and much more. This video will lay the foundation for learning Swift for those who are not familiar with Swift already.

You can follow along with this video on macOS, Linux and Windows. On Linux and Windows you will need to download the Swift toolchain from https://swift.org and run the examples manually by invoking Swift from Terminal using your favorite code editor such as Visual Studio Code.

✏️ Vandad Nahavandipoor created this course.
Vandad on YouTube: https://youtube.com/c/vandadnp
Vandad on Twitter: https://twitter.com/vandadnp
Vandad on LinkedIn: https://linkedin.com/in/vandadnp

⭐️ Contents ⭐️
⌨️ (0:00:00) Introduction
⌨️ (0:06:49) Variables
⌨️ (0:29:46) Operators
⌨️ (0:46:55) If and else
⌨️ (1:05:08) Functions
⌨️ (1:23:58) Closures
⌨️ (1:52:08) Structures
⌨️ (2:17:58) Enumerations
⌨️ (2:59:21) Classes
⌨️ (3:24:51) Protocols
⌨️ (3:47:48) Extensions
⌨️ (4:00:06) Generics
⌨️ (4:32:44) Optionals
⌨️ (4:53:39) Error Handling
⌨️ (5:39:35) Collections
⌨️ (6:17:17) Equality and Hashing
⌨️ (6:38:46) Custom Operators
⌨️ (6:50:53) Asynchronous Programming
⌨️ (7:04:38) Outro

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01 Song - Vellinilaa Thullikalo 00:00
Movie - Varnappakittu (1997)
Movie Director - IV Sasi
Lyrics - Gireesh Puthenchery
Music - Vidyasagar
Singers - KS Chithra, MG Sreekumar

02 Song - Swayamvara Chandrike 04:26
Movie - Chronic Bachelor
Music Director - Deepak Dev
Lyrics - Kaithapram Damodaran Namboothiri
Singers - P. Jayachandran, Sujatha Mohan

03 Song - Manikyakallal 09:11
Movie - Varnappakittu (1997)
Movie Director - IV Sasi
Lyrics - Gireesh Puthenchery
Music - Vidyasagar
Singers - MG Sreekumar, Swarnalatha

04 Song - Othiri Othiri 13:17
Movie - Pranayavarnangal (1998)
Director - Sibi Malayil
Music - Vidyasagar
Lyricist - Gireesh Puthenchery
Singers - KS Chithra

05 Song - Manju Peyyana 17:35
Movie - Chandranudikkunna Dikkil (1999)
Movie Director - Lal Jose
Lyrics - S Ramesan Nair
Music - Vidyasagar
Singers - Sujatha Mohan

06 Song - Manjukaalam Nolkkum 22:09
Movie - Megham (1999)
Director - Priyadarshan
Music - Ouseppachan
Lyricist - Gireesh Puthenchery
Singers - K. J. Yesudas, Sujatha Mohan

07 Song - Aniyampoo Muttathu 25:36
Movie - Darling Darling (2000)
Movie Director - Rajasenan
Lyrics - S Ramesan Nair
Music - Ouseppachan
Singers - MG Sreekumar, Santhosh Keshav

08 Song - Doore Mamarakombil 29:56
Movie - Varnappakittu (1997)
Movie Director - IV Sasi
Lyrics - Gireesh Puthenchery
Music - Vidyasagar
Singers - KS Chithra

09 Song - Kuppivala 34:01
Movie - Ayal Kadha Ezhuthukayanu
Music Director - Raveendran
Lyricist - Kaithapram Damodaran Namboothiri
Singers - M. G. Sreekumar, Sujatha Mohan

10 Song - Vinnile Gandharva 39:46
Movie - Rajavinte Makan
Lyrics - Shibu Chakravarthy
Music - S.P. Venkitesh
Singer - Unni Menon

11 Song - Kannil Umma 43:53
Movie - Alice In Wonderland (2005)
Director - Sibi Malayil
Music - Vidyasagar
Lyricist - Gireesh Puthenchery
Singers - Sujatha Mohan, Vidhu Prathap

12 Song - Therirangum Mukile 47:39
Movie - Mazhathullikkilukkam (2002)
Director - Akbar Jose
Music - Suresh Peters
Lyricist - S Ramesan Nair
Singers - P Jayachandran

13 Song - Pallitherundo 50:59
Movie - Mazhavilkkaavadi (1989)
Director - Sathyan Anthikkad
Music - Johnson
Lyricist - Kaithapram
Singers - G Venugopal, Radhika Thilak

14 Song - Manju Pole 55:18
Movie - Dosth
Lyrics - S. Ramesan Nair
Music - Vidyasagar
Singer - Sreenivas


സുവർണ്ണ കാലഘട്ടത്തിലെ ഗാനങ്ങൾ | Golden Hits Malayalam | MG Sreekumar | KS Chithra | Vidyasagar


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