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About the Webinar
Are you interested in a high-paying career in data science? If so, this webinar is for you! Join us for a live webinar with Greg White, PwC, where he’ll unpack the ins and outs of the field, including job opportunities, skills needed, and how to get started.

Why You Should Attend
✅ Learn from an industry veteran with years of experience in data science
✅ Discover the wide range of career opportunities available in the field
✅ Gain insights into the skills needed to excel in data science
✅ Get an exclusive preview of Caltech Data Science Bootcamp and how it will boost your career

What You Get
✅ A comprehensive overview of the data science industry
✅ Expert advice on career paths and roles
✅ A detailed breakdown of essential skills and tools
✅ An opportunity to participate in a live Q&A session
✅ An exclusive discount on the Caltech Data Science Bootcamp

Who This Webinar is For
✅ Recent graduates seeking career guidance in data science
✅ Professionals considering a swift career transition
✅ Professionals with entrepreneurial aspirations
✅ Anyone curious about a career in data science

Why a Career in Data Science
✅ High demand and job growth
✅ Attractive salary packages
✅ Opportunity to work in a variety of industries
✅ Hybrid work and flexible schedules

This webinar will help you assess your aptitude, passion, and potential for a career in data science. Learn from Greg how to align your skills and interests with the dynamic opportunities in the field.

Job Opportunities in Data Science
✅ Data Analyst
✅ Data Scientist
✅ Machine Learning Engineer
✅ Business Intelligence Analyst
✅ Data Engineer
✅ and many more!

Discover the Skills and Tools You Need to Learn
✅ Programming languages (Python, R)
✅ Data manipulation and analysis using Tableau
✅ Machine learning techniques
✅ Data visualization
✅ Learn How to Crack Data Science Interviews
✅ What makes data science interviews different from programming interviews
✅ How to position yourself for a better role
✅ Skills and techniques for successful interviewing
✅ Tips that will help give you an edge over other candidates

Why Join the Caltech Data Science Bootcamp
✅ Hands-on learning with real-world projects
✅ Personalized mentorship and guidance
✅ Networking opportunities with peers and industry professionals
✅ Career support and job placement assistance

About the Speaker
✅ Greg White, PwC
✅ 30 years of industry experience
✅ Expert in Big Data & Hadoop, Data Science and AI, and Cloud Computing
✅ Certified NetWare Engineer, LPIC Database Engineer, Microsoft Certified Systems Engineer (MCSE)

Don’t miss this opportunity to kick-start your data science journey. Secure your spot today and get an exclusive discount on Caltech Data Science Bootcamp when you attend!

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#DataScienceCertification #DataScience #DataScienceCareers #DataScience #LearnDataScience #DataScienceTutorial #DataScienceCourse #Shorts #YTShorts #Certifications #Simplilearn

✅ About Data Science Bootcamp:
Learn to make data-driven decisions with this Data Science Bootcamp, delivered in partnership with IBM. Designed for working professionals, the program features masterclasses by distinguished Caltech instructors & IBM experts, with exclusive hackathons and Ask Me Anything sessions by IBM.

✅ Program Overview:
The Caltech Data Science Bootcamp brings out the superiority of Caltech's academic eminence. The program covers critical Data Science topics like Python programming, R programming, Machine Learning, Deep Learning, and Data Visualization tools through an interactive learning model with live sessions by global practitioners and practical labs.

✅ Skills Covered
- Exploratory Data Analysis
- Descriptive Statistics
- Inferential Statistics
- Model Building and Fine Tuning
- Supervised and Unsupervised Learning
- Ensemble Learning
- Deep Learning
- Data Visualization

✅ Eligibility for this Data Science Bootcamp:
- At least 18 years and have a High School Diploma or equivalent.
- Prior knowledge or experience in programming and mathematics
- Preferably 2+ years of formal work experience

👉Learn more at: https://www.simplilearn.com/data-science-bootcamp?utm_campaign=CaltechDataScienceBootCampWebinar9May2023&utm_medium=Description&utm_source=youtube

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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

🔥Free Data Analytics Course: https://www.simplilearn.com/learn-data-analytics-for-beginners-skillup?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube

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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.

✅ Tools Covered

- Microsoft Excel
- Tableau
- NumPy
- Pandas
- SciPi
- Power BI
- Python
- R Programming
- MySQL

👉Learn more at: https://www.simplilearn.com/data-analyst-masters-certification-training-course#why-become-a-data-analyst?utm_campaign=SQLForDataAnalytics0122&utm_medium=Description&utm_source=youtube

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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)

❕Підтримайте "Цікаву науку" на https://www.patreon.com/join/CikavaNauka або
💳 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.

Learn more about Agentforce: https://www.salesforce.com/agentforce/
Learn more about AI Agents: https://www.salesforce.com/agentforce/ai-agents/

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.

#Salesforce #Agentforce

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Disclaimer: This video is for demonstration purposes only. All account data depicted is fictional and does not contain personally identifiable information (PII). This content is intended solely to illustrate product functionality in a simulated environment.

MIT 14.02 Principles of Macroeconomics, Spring 2023
Instructor: Ricardo J. Caballero

View the complete course: https://ocw.mit.edu/courses/14....-02-principles-of-ma
YouTube Playlist: https://www.youtube.com/playli....st?list=PLUl4u3cNGP6

In this lecture, Prof. Caballero discusses basic macroeconomic concepts such as aggregate output, the unemployment rate, and the inflation rate.


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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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DevOps is a method for automating and integrating software development (Dev) and IT operations (Ops), allowing teams to produce, test, and deliver products more quickly.

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Machine learning has expanded dramatically with every organization moving towards digital operations, and they are all considering using machine learning algorithms to automate tasks that frequently required manual labor, reducing workload and boosting productivity.

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Data science can extract useful data from huge amounts of information using the right tools and methods. A data scientist's daily tasks include gathering, analyzing, and interpreting data to assist organizations in achieving their objectives.

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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?
09:35:04 Natural Language Processing
09:39:59 Python Libraries
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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This in-depth Data Science program is designed for working professionals, and covers job-critical topics like R, Python programming, Machine Learning techniques, NLP notions, and Data Visualization with Tableau, using an active learning model that includes live sessions from global professionals, practical labs, IBM Hackathons, and corporate ready projects

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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

🎉 Thanks to our Champion and Sponsor supporters:
👾 Nattira Maneerat
👾 Heather Wcislo
👾 Serhiy Kalinets
👾 Erdeniz Unvan
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👾 Otis Morgan

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