Accelerate Data Science Workflows with Zero Code Changes
by nvidia
Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. In this workshop, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.
By participating in this course, you will:
Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks
Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes
Experience the significant reduction in processing time when workflows are GPU-accelerated
Prerequisites:
Basic understanding of data processing and knowledge of a standard data science workflow on tabular data
Experience using common Python libraries for data analytics
Tools, libraries, frameworks used: NVIDIA RAPIDS (cuDF, cuML, cuGraph), pandas, scikit-learn, and NetworkX
🆓 Free Online Course
⏰ Duration : More than 1 hour
🏃♂️ Self paced
✅ Certification available
Course Link
#datascience #nvidia
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by nvidia
Across industries, modern data science requires large amounts of data to be processed quickly and efficiently. These workloads need to be accelerated to ensure prompt results and increase overall productivity. NVIDIA RAPIDS offers a seamless experience to enable GPU-acceleration for many existing data science tasks with zero code changes. In this workshop, you’ll learn to use RAPIDS to speed up your CPU-based data science workflows.
By participating in this course, you will:
Understand the benefits of a unified workflow across CPUs and GPUs for data science tasks
Learn how to GPU-accelerate various data processing and machine learning workflows with zero code changes
Experience the significant reduction in processing time when workflows are GPU-accelerated
Prerequisites:
Basic understanding of data processing and knowledge of a standard data science workflow on tabular data
Experience using common Python libraries for data analytics
Tools, libraries, frameworks used: NVIDIA RAPIDS (cuDF, cuML, cuGraph), pandas, scikit-learn, and NetworkX
🆓 Free Online Course
⏰ Duration : More than 1 hour
🏃♂️ Self paced
✅ Certification available
Course Link
#datascience #nvidia
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Python for Data Science with Assignments
A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners, etc.
Rating ⭐️: 4.7 out 5
Students 👨🎓 : 18046
Duration ⏰ : 9.5 hours on-demand video
Created by 👨🏫: Meritshot Academy
🔗 Course Link
⚠️ Its free for first 1000 enrollments only!
#python #datascience
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A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners, etc.
Rating ⭐️: 4.7 out 5
Students 👨🎓 : 18046
Duration ⏰ : 9.5 hours on-demand video
Created by 👨🏫: Meritshot Academy
🔗 Course Link
⚠️ Its free for first 1000 enrollments only!
#python #datascience
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Udemy
Python for Data Science with Assignments
A Comprehensive and Practical Hands-On Guide to Learning Python for Beginners, Aspiring Developers, Self-Learners, etc.
Practical Deep Learning For Coders
This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
🆓 Free Online Course
Rating⭐️: 4.1 out 5
Duration ⏰: 7 weeks
💻 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. Jeremy Howard
🔗 Course Link
#programming #deeplearning
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This 7-week course is designed for anyone with at least a year of coding experience, and some memory of high-school math. You will start with step onelearning how to get a GPU server online suitable for deep learningand go all the way through to creating state of the art, highly practical, models for computer vision, natural language processing, and recommendation systems.
🆓 Free Online Course
Rating⭐️: 4.1 out 5
Duration ⏰: 7 weeks
💻 Lecture Videos
🏃♂️ Self paced
Teacher 👨🏫 : Prof. Jeremy Howard
🔗 Course Link
#programming #deeplearning
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Free Video Lectures
Practical Deep Learning For Coders online course video lectures by Other
Practical Deep Learning For Coders free online course video tutorial by Other.You can download the course for FREE !
How To Use R Programming for Research
Use R Programming for Scientific Research
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 19,897
Duration ⏰ : 1.5 hours on-demand video
👩💻 2 coding exercises
⬇️ 29 downloadable resources
Created by 👨🏫: Prof Asad Rasul
🔗 COURSE LINK
⚠️ Its free for first 1000 enrollments only!
#R_Programming
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Use R Programming for Scientific Research
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 19,897
Duration ⏰ : 1.5 hours on-demand video
👩💻 2 coding exercises
⬇️ 29 downloadable resources
Created by 👨🏫: Prof Asad Rasul
🔗 COURSE LINK
⚠️ Its free for first 1000 enrollments only!
#R_Programming
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👉Join @datascience_bds for more👈
Udemy
R for Researchers: From Basics to Advanced Analysis
Master R Programming for Scientific Research
10 Best Practices for Data Science
The main bottleneck in data science are no longer compute power or sophisticated algorithms, but craftsmanship, communication, and process.
And that the aim is to not only produce work that is accurate and correct, but also can be understood, work that others can collaborate on.
Rule 1: Start Organized, Stay Organized
Rule 2: Everything Comes from Somewhere, and the Raw Data is Immutable
Rule 3: Version Control is Basic Professionalism
Rule 4: Notebooks are for Exploration, Source Files are for Repetition
Rule 5: Tests and Sanity Checks Prevent Catastrophes
Rule 6: Fail Loudly, Fail Quickly
Rule 7: Project Runs are Fully Automated from Raw Data to Final Outputs
Rule 8: Important Parameters are Extracted and Centralized
Rule 9: Project Runs are Verbose by Default and Result in Tangible Artifacts
Rule 10: Start with the Simplest Possible End-to-End Pipeline
Lessons
🔗 Read More
#datascience
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👉Join @datascience_bds for more👈
The main bottleneck in data science are no longer compute power or sophisticated algorithms, but craftsmanship, communication, and process.
And that the aim is to not only produce work that is accurate and correct, but also can be understood, work that others can collaborate on.
Rule 1: Start Organized, Stay Organized
Rule 2: Everything Comes from Somewhere, and the Raw Data is Immutable
Rule 3: Version Control is Basic Professionalism
Rule 4: Notebooks are for Exploration, Source Files are for Repetition
Rule 5: Tests and Sanity Checks Prevent Catastrophes
Rule 6: Fail Loudly, Fail Quickly
Rule 7: Project Runs are Fully Automated from Raw Data to Final Outputs
Rule 8: Important Parameters are Extracted and Centralized
Rule 9: Project Runs are Verbose by Default and Result in Tangible Artifacts
Rule 10: Start with the Simplest Possible End-to-End Pipeline
Lessons
🔗 Read More
#datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @datascience_bds for more👈
Data Science Projects
Collection of data science projects in Python
Creator: Vaibhav Singh
Stars ⭐️: 1.5k
Forked By: 406
https://github.com/veb-101/Data-Science-Projects
#datascience
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Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
Collection of data science projects in Python
Creator: Vaibhav Singh
Stars ⭐️: 1.5k
Forked By: 406
https://github.com/veb-101/Data-Science-Projects
#datascience
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Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
GitHub
GitHub - veb-101/Data-Science-Projects: Collection of data science projects in Python
Collection of data science projects in Python. Contribute to veb-101/Data-Science-Projects development by creating an account on GitHub.
Become a Citizen Data Scientist with HyperSense-AI Studio
Use R Programming for Scientific Research
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 3139
Duration ⏰ : 1.5 hours on-demand video
Created by 👨🏫: Learning Hypersense
🔗 COURSE LINK
#datascience
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👉Join @datascience_bds for more👈
Use R Programming for Scientific Research
Rating ⭐️: 4.6 out 5
Students 👨🎓 : 3139
Duration ⏰ : 1.5 hours on-demand video
Created by 👨🏫: Learning Hypersense
🔗 COURSE LINK
#datascience
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👉Join @datascience_bds for more👈
Data Science BootCamp - From Analysing Data To Creating ML Models
This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 6 weeks long
Source: geeksforgeeks
🔗 COURSE LINK
#datascience
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👉Join @datascience_bds for more👈
This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 6 weeks long
Source: geeksforgeeks
🔗 COURSE LINK
#datascience
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👉Join @datascience_bds for more👈
www.geeksforgeeks.org
Data Science BootCamp - From Analysing Data To Creating ML Models
This free Data Science Bootcamp will help you get started on the roadmap towards a career as top Data Scientist. Master the basics of Python, Tableau, ML, AI and more. Enrol today and start now!
DATA SCIENCE :THEORIES , MODELS , ALGORITHMS , AND ANALYTICS
by S A N J I V R A N J A N D A S
📄 462 pages
🔗 Read Online
#datascience
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by S A N J I V R A N J A N D A S
📄 462 pages
🔗 Read Online
#datascience
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Data Science Full Course 2024 | Data Science Course For Beginners | Learn Data Science |
This Data Science Course 2024 covers all the important skill sets required to get you a job as a Data Scientist!
This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms.
With this Data Science Course 2024, we will give you the Fundamental idea of what is data science, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science.
We will also help you with the trending project idea which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 11-12 hours long
Source: Intellipaat
🔗 COURSE LINK
#datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @datascience_bds for more👈
This Data Science Course 2024 covers all the important skill sets required to get you a job as a Data Scientist!
This particular Data Science Course For Beginners has been taught by our top industry experts associated with companies like Google, Meta, and Microsoft. So, stay until the end of this video, you will understand Data Science from Fundamentals To Solving Basic Data Science Problems Using Machine Learning Algorithms.
With this Data Science Course 2024, we will give you the Fundamental idea of what is data science, What Datasets are all about, Basic Machine Learning Algorithms, and how you can solve real-world problems like heart disease detection using Data science.
We will also help you with the trending project idea which is creating a Chatbot of your own like ChatGPT using data science. We will also highlight some of the important data science interview questions.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 11-12 hours long
Source: Intellipaat
🔗 COURSE LINK
#datascience
➖➖➖➖➖➖➖➖➖➖➖➖➖➖
👉Join @datascience_bds for more👈
Learning Data Science: Understanding the Basics
Many of the people who work on data science teams won't be data scientists. They'll be the managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren't planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 1-2 hours long
4 quizzes
Source: linkedin learning
🔗 COURSE LINK
#datascience
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👉Join @datascience_bds for more👈
Many of the people who work on data science teams won't be data scientists. They'll be the managers and associates who want to gain real business value from your organization's data. These team members need to understand the language of data science so they can ask better questions, understand processes, and help effectively lead their teams and organizations to making better data-driven decisions. This course is an introduction to data science for people who aren't planning on being full-time data scientists. It introduces big data concepts, tools, and techniques, including gathering and sorting data, working with databases, understanding structured and unstructured data types, and applying statistical analysis. Business coach and author Doug Rose helps you speak the language of data science so that you can guide your organization through the opportunities and limitations in this dramatically growing field.
✅ Free Online Course
🏃♂️ Self paced
Duration ⏰ : 1-2 hours long
4 quizzes
Source: linkedin learning
🔗 COURSE LINK
#datascience
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LinkedIn
Learning Data Science: Understanding the Basics Online Class | LinkedIn Learning, formerly Lynda.com
Get an introduction to data science designed for people who aren't planning on being full-time data scientists. Learn the basics of gathering and analyzing big data.