Introduction to R
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
⏰ Free Online Course
⏰ 9 Module
⏰ Duration : 4 hours
🏃♂️ Self paced
Offered by: datacamp
🔗 Course Link
#R #data_science
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Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
⏰ Free Online Course
⏰ 9 Module
⏰ Duration : 4 hours
🏃♂️ Self paced
Offered by: datacamp
🔗 Course Link
#R #data_science
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👉Join @datascience_bds for more👈
Datacamp
Introduction to R Programming Course | DataCamp
With this introduction to R, you’ll master the basics of data analysis in R. You’ll learn how to manipulate data structures such as vectors and data frames.
AI-Expert-Roadmap
Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert. We made these charts for our new employees to make them AI Experts but we wanted to share them here to help the community.
Creator: AMAI GmbH
Stars ⭐️: 26.7k
Forked By: 2.3k
https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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Below you find a set of charts demonstrating the paths that you can take and the technologies that you would want to adopt in order to become a data scientist, machine learning or an AI expert. We made these charts for our new employees to make them AI Experts but we wanted to share them here to help the community.
Creator: AMAI GmbH
Stars ⭐️: 26.7k
Forked By: 2.3k
https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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GitHub
GitHub - AMAI-GmbH/AI-Expert-Roadmap: Roadmap to becoming an Artificial Intelligence Expert in 2022
Roadmap to becoming an Artificial Intelligence Expert in 2022 - AMAI-GmbH/AI-Expert-Roadmap
Free Statistics Courses
Statistics For Applications (Fall 2016)
🆓 Free Online Course
🎬 video lessons
📄 Notes
🏃♂️ Self paced
Duration ⏰: more than 2 hours worth of material
Source: MIT
🔗 Course Link
Statistics with MATLAB
🆓 Free Online Course
Rating⭐️: 4.8 out 5
Students 👨🎓 : 7,424
Duration ⏰ : 4hr 59min of on-demand video
Teacher 👨🏫: Prof. Dr. Academic Educator
🔗 Course Link
Statistics - A Full University Course on Data Science Basics
🆓 Free Online Course
🎬 video lesson
🏃♂️ Self paced
Duration ⏰: more than 8 hours worth of material
Source: FreeCodeCamp
🔗 Course Link
Statistics and data literacy for non-statisticians
🆓 Free Online Course
Rating⭐️: 4.6 out 5
Students 👨🎓 : 25,589
Duration ⏰ : 1hr 36min of on-demand video
Teacher 👨🏫: Mike X Cohen
🔗 Course Link
Statistics
🆓 Free Online Course
🎬 video lessons
🏃♂️ Self paced
Duration ⏰: More than 4 hours worth of material
Source: freevideolectures
🔗 Course Link
Math for Middle Schoolers: Statistics
🆓 Free Online Course
Rating⭐️: 4.6 out 5
Students 👨🎓 : 6,535
Duration ⏰ : 42min of on-demand video
Teacher 👨🏫: Abinaya Anbuchelvan
🔗 Course Link
NPTEL IIT Statistics Courses
NOC:Engineering Statistics, IIT Bombay
NOC:Applied Statistics and Econometrics, IIT Kanpur
NOC:Descriptive Statistics with R Software, IIT Kanpur
NOC:Business Statistics, IIT Roorkee
NOC:Introduction to Probability Theory and Statistics, IIT Delhi
Probability and Statistics, IIT Kharagpur
NOC:Probability and Statistics, IIT Kharagpur
NOC:Introduction to probability and Statistics, IIT Madras
Statistics and Probability Full Course || Statistics For Data Science
🆓 Free Online Course
🎬 Video lesson
Duration ⏰ :10-11 hrs of on-demand video
🏃♂️ Self paced
Source: YouTube
🔗 Course Link
Books
Introduction to Statistics and Data Analysis
Introductory Statistics
Probability and Statistics: The Science of Uncertainty
#Statistics #probability #statistics_and_probability
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Statistics For Applications (Fall 2016)
🆓 Free Online Course
🎬 video lessons
📄 Notes
🏃♂️ Self paced
Duration ⏰: more than 2 hours worth of material
Source: MIT
🔗 Course Link
Statistics with MATLAB
🆓 Free Online Course
Rating⭐️: 4.8 out 5
Students 👨🎓 : 7,424
Duration ⏰ : 4hr 59min of on-demand video
Teacher 👨🏫: Prof. Dr. Academic Educator
🔗 Course Link
Statistics - A Full University Course on Data Science Basics
🆓 Free Online Course
🎬 video lesson
🏃♂️ Self paced
Duration ⏰: more than 8 hours worth of material
Source: FreeCodeCamp
🔗 Course Link
Statistics and data literacy for non-statisticians
🆓 Free Online Course
Rating⭐️: 4.6 out 5
Students 👨🎓 : 25,589
Duration ⏰ : 1hr 36min of on-demand video
Teacher 👨🏫: Mike X Cohen
🔗 Course Link
Statistics
🆓 Free Online Course
🎬 video lessons
🏃♂️ Self paced
Duration ⏰: More than 4 hours worth of material
Source: freevideolectures
🔗 Course Link
Math for Middle Schoolers: Statistics
🆓 Free Online Course
Rating⭐️: 4.6 out 5
Students 👨🎓 : 6,535
Duration ⏰ : 42min of on-demand video
Teacher 👨🏫: Abinaya Anbuchelvan
🔗 Course Link
NPTEL IIT Statistics Courses
NOC:Engineering Statistics, IIT Bombay
NOC:Applied Statistics and Econometrics, IIT Kanpur
NOC:Descriptive Statistics with R Software, IIT Kanpur
NOC:Business Statistics, IIT Roorkee
NOC:Introduction to Probability Theory and Statistics, IIT Delhi
Probability and Statistics, IIT Kharagpur
NOC:Probability and Statistics, IIT Kharagpur
NOC:Introduction to probability and Statistics, IIT Madras
Statistics and Probability Full Course || Statistics For Data Science
🆓 Free Online Course
🎬 Video lesson
Duration ⏰ :10-11 hrs of on-demand video
🏃♂️ Self paced
Source: YouTube
🔗 Course Link
Books
Introduction to Statistics and Data Analysis
Introductory Statistics
Probability and Statistics: The Science of Uncertainty
#Statistics #probability #statistics_and_probability
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MIT OpenCourseWare
Lecture 1: Introduction to Statistics | Statistics for Applications | Mathematics | MIT OpenCourseWare
MIT OpenCourseWare is a web based publication of virtually all MIT course content. OCW is open and available to the world and is a permanent MIT activity
Introduction to Data Science for Complete Beginners
Most Frequent Questions about Data Science are answered in this course
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 20,754
Duration ⏰ : 1hr 59min on-demand video
Created by 👨🏫: Fahad Masood Reda
🔗 Course Link
#data_science
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Most Frequent Questions about Data Science are answered in this course
Rating ⭐️: 4.5 out 5
Students 👨🎓 : 20,754
Duration ⏰ : 1hr 59min on-demand video
Created by 👨🏫: Fahad Masood Reda
🔗 Course Link
#data_science
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Udemy
Free Data Science Tutorial - Introduction to Data Science for Complete Beginners
Most Frequent Questions about Data Science are answered in this course - Free Course
PySpark Cheat Sheet
A quick reference guide to the most commonly used patterns and functions in PySpark SQL.
Creator: kevinschaich
Stars ⭐️: 273
Forked By: 95
https://github.com/kevinschaich/pyspark-cheatsheet
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A quick reference guide to the most commonly used patterns and functions in PySpark SQL.
Creator: kevinschaich
Stars ⭐️: 273
Forked By: 95
https://github.com/kevinschaich/pyspark-cheatsheet
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*This channel belongs to @bigdataspecialist group
GitHub
GitHub - kevinschaich/pyspark-cheatsheet: 🐍 Quick reference guide to common patterns & functions in PySpark.
🐍 Quick reference guide to common patterns & functions in PySpark. - kevinschaich/pyspark-cheatsheet
Data_Science_from_Scratch_First_Principles_with_Python_by_Joel_Grus.pdf
10.8 MB
Data Science from Scratch First Principles with Python by Joel Grus z lib
Genetic Algorithms With Python
Source code from the book Genetic Algorithms with Python by Clinton Sheppard
Creator: handcraftsman
Stars ⭐️: 1.1k
Forked By: 462
https://github.com/handcraftsman/GeneticAlgorithmsWithPython
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Source code from the book Genetic Algorithms with Python by Clinton Sheppard
Creator: handcraftsman
Stars ⭐️: 1.1k
Forked By: 462
https://github.com/handcraftsman/GeneticAlgorithmsWithPython
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GitHub
GitHub - handcraftsman/GeneticAlgorithmsWithPython: source code from the book Genetic Algorithms with Python by Clinton Sheppard
source code from the book Genetic Algorithms with Python by Clinton Sheppard - handcraftsman/GeneticAlgorithmsWithPython
Forwarded from Free programming books
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