Introduction to R
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
β° Free Online Course
β° 9 Module
β° Duration : 4 hours
πββοΈ Self paced
Offered by: datacamp
π Course Link
#R #data_science
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πJoin @datascience_bds for moreπ
Master the basics of data analysis in R, including vectors, lists, and data frames, and practice R with real data sets.
β° Free Online Course
β° 9 Module
β° Duration : 4 hours
πββοΈ Self paced
Offered by: datacamp
π Course Link
#R #data_science
ββββββββββββββ
πJoin @datascience_bds for moreπ
Datacamp
Introduction to R Programming Course | DataCamp
With this introduction to R, youβll master the basics of data analysis in R. Youβll learn how to manipulate data structures such as vectors and data frames.
π1
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 βοΈ: 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 βοΈ: 26.7k
Forked By: 2.3k
https://github.com/AMAI-GmbH/AI-Expert-Roadmap
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Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
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
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Free Statistics Courses
Statistics For Applications (Fall 2016)
π Free Online Course
π¬ video lessons
π Notes
πββοΈ Self paced
Duration β°: more than 2 hours worth of material
Source: MIT
π Course Link
Statistics with MATLAB
π Free Online Course
RatingβοΈ: 4.8 out 5
Students π¨βπ : 7,424
Duration β° : 4hr 59min of on-demand video
Teacher π¨βπ«: Prof. Dr. Academic Educator
π Course Link
Statistics - A Full University Course on Data Science Basics
π Free Online Course
π¬ video lesson
πββοΈ Self paced
Duration β°: more than 8 hours worth of material
Source: FreeCodeCamp
π Course Link
Statistics and data literacy for non-statisticians
π Free Online Course
RatingβοΈ: 4.6 out 5
Students π¨βπ : 25,589
Duration β° : 1hr 36min of on-demand video
Teacher π¨βπ«: Mike X Cohen
π Course Link
Statistics
π Free Online Course
π¬ video lessons
πββοΈ Self paced
Duration β°: More than 4 hours worth of material
Source: freevideolectures
π Course Link
Math for Middle Schoolers: Statistics
π Free Online Course
RatingβοΈ: 4.6 out 5
Students π¨βπ : 6,535
Duration β° : 42min of on-demand video
Teacher π¨βπ«: Abinaya Anbuchelvan
π 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
π Free Online Course
π¬ Video lesson
Duration β° :10-11 hrs of on-demand video
πββοΈ Self paced
Source: YouTube
π Course Link
Books
Introduction to Statistics and Data Analysis
Introductory Statistics
Probability and Statistics: The Science of Uncertainty
#Statistics #probability #statistics_and_probability
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
Statistics For Applications (Fall 2016)
π Free Online Course
π¬ video lessons
π Notes
πββοΈ Self paced
Duration β°: more than 2 hours worth of material
Source: MIT
π Course Link
Statistics with MATLAB
π Free Online Course
RatingβοΈ: 4.8 out 5
Students π¨βπ : 7,424
Duration β° : 4hr 59min of on-demand video
Teacher π¨βπ«: Prof. Dr. Academic Educator
π Course Link
Statistics - A Full University Course on Data Science Basics
π Free Online Course
π¬ video lesson
πββοΈ Self paced
Duration β°: more than 8 hours worth of material
Source: FreeCodeCamp
π Course Link
Statistics and data literacy for non-statisticians
π Free Online Course
RatingβοΈ: 4.6 out 5
Students π¨βπ : 25,589
Duration β° : 1hr 36min of on-demand video
Teacher π¨βπ«: Mike X Cohen
π Course Link
Statistics
π Free Online Course
π¬ video lessons
πββοΈ Self paced
Duration β°: More than 4 hours worth of material
Source: freevideolectures
π Course Link
Math for Middle Schoolers: Statistics
π Free Online Course
RatingβοΈ: 4.6 out 5
Students π¨βπ : 6,535
Duration β° : 42min of on-demand video
Teacher π¨βπ«: Abinaya Anbuchelvan
π 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
π Free Online Course
π¬ Video lesson
Duration β° :10-11 hrs of on-demand video
πββοΈ Self paced
Source: YouTube
π Course Link
Books
Introduction to Statistics and Data Analysis
Introductory Statistics
Probability and Statistics: The Science of Uncertainty
#Statistics #probability #statistics_and_probability
ββββββββββββββ
πJoin @bigdataspecialist for moreπ
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
π3
Introduction to Data Science for Complete Beginners
Most Frequent Questions about Data Science are answered in this course
Rating βοΈ: 4.5 out 5
Students π¨βπ : 20,754
Duration β° : 1hr 59min on-demand video
Created by π¨βπ«: Fahad Masood Reda
π Course Link
#data_science
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πJoin @datascience_bds for moreπ
Most Frequent Questions about Data Science are answered in this course
Rating βοΈ: 4.5 out 5
Students π¨βπ : 20,754
Duration β° : 1hr 59min on-demand video
Created by π¨βπ«: Fahad Masood Reda
π Course Link
#data_science
ββββββββββββββ
πJoin @datascience_bds for moreπ
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
π4π1
PySpark Cheat Sheet
A quick reference guide to the most commonly used patterns and functions in PySpark SQL.
Creator: kevinschaich
Stars βοΈ: 273
Forked By: 95
https://github.com/kevinschaich/pyspark-cheatsheet
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*This channel belongs to @bigdataspecialist group
A quick reference guide to the most commonly used patterns and functions in PySpark SQL.
Creator: kevinschaich
Stars βοΈ: 273
Forked By: 95
https://github.com/kevinschaich/pyspark-cheatsheet
ββββββββββββββ
Join @datascience_bds for more cool repositories.
*This channel belongs to @bigdataspecialist group
GitHub
GitHub - kevinschaich/pyspark-cheatsheet: π Quick reference guide to common patterns & functions in PySpark.
π Quick reference guide to common patterns & functions in PySpark. - kevinschaich/pyspark-cheatsheet
π5β€1π1
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
π6π₯1
Genetic Algorithms With Python
Source code from the book Genetic Algorithms with Python by Clinton Sheppard
Creator: handcraftsman
Stars βοΈ: 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 βοΈ: 1.1k
Forked By: 462
https://github.com/handcraftsman/GeneticAlgorithmsWithPython
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*This channel belongs to @bigdataspecialist group
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
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