Telegram Web Link
15 Different Types of Data Scientists [with Responsibilities]

A Data Scientist is a person who uses his/her skillset to gather, manage and store data for analysis. This is not easy as it sounds; a single person cannot do handling and engineer data. Proficiency in programming, mathematics, statistics, databases, etc., are some of the basic skills required to pursue different data science types of activities.

Creating various types of data science models is the key responsibility of a data scientist. Financial models, Business models, and Machine learning models are some of the models which are developed by different types of data scientists.

Data science is a broad term; the number of activities involved in data science is classified among professionals called Data Scientists. Let's explore the different types of data scientists along with their responsibilities.

πŸ”— Article Link


#Data_Science #Data #Science #datascience_types
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Underfitting vs Overfitting
Data Science for Beginners - A Curriculum

Azure Cloud Advocates at Microsoft are pleased to offer a 10-week, 20-lesson curriculum all about Data Science. Each lesson includes pre-lesson and post-lesson quizzes, written instructions to complete the lesson, a solution, and an assignment. Our project-based pedagogy allows you to learn while building, a proven way for new skills to 'stick'.

Creator: Microsoft
Stars⭐️: 21.6k
Fork: 4.3K
Repo: https://github.com/microsoft/Data-Science-For-Beginners

βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Data Science job expectation vs reality
Complete Data Science Roadmap 2023
Machine Learning & Data Science from Caltech

This is an introductory course in machine learning (ML) that covers the basic theory, algorithms, and applications. ML is a key technology in Big Data, and in many financial, medical, commercial, and scientific applications. It enables computational systems to adaptively improve their performance with experience accumulated from the observed data. ML has become one of the hottest fields of study today, taken up by undergraduate and graduate students from more than 20 different majors at Caltech. This course balances theory and practice, and covers the mathematical as well as the heuristic aspects.

⏰ Free Online Course
🎬 18 Video lessons
πŸ“ downloadable resources
πŸƒβ€β™‚οΈ Self paced
Offered by: Caltech

πŸ”— Course link

#Machine #Leaning #machinelearning #data_science
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ
Choosing a statistical test
Data Science Projects - Data Analysis & Machine Learning

Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners.

Rating ⭐️: 4.8 out 5
Students πŸ‘¨β€πŸŽ“ : 5,201
Duration ⏰ : 1hr 44min on-demand video
Created by πŸ‘¨β€πŸ«: Onur BaltacΔ±

πŸ”— Course Link


#Projects #Data_Analysis #Machine_Learning #Data_Science
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ
The essential data science venn diagram
Deep Learning Methods (Classification)
Python Data Science Handbook

Python Data Science Handbook: full text in Jupyter Notebooks. This repository contains the entire Python Data Science Handbook, in the form of (free!) Jupyter notebooks.

Creator: Jake Vanderplas
Stars⭐️: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook

βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
Different Probability Distributions used in Data Science
Forwarded from AI Revolution
Evolution of AI
6 Deep Learning Books
NOC:Python for Data Science, IIT Madras

πŸ†“ Free Online Course
πŸ’» 40 Lecture Videos
⏰ 5 Module
πŸƒβ€β™‚οΈ Self paced
Teacher πŸ‘¨β€πŸ« : Prof. Ragunathan Rengasamy

πŸ”— https://nptel.ac.in/courses/106106212


#Data_Science #IIT
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰Join @bigdataspecialist for moreπŸ‘ˆ
Applied Data Science
by Daniel Krasner


πŸ“„ 141 pages

πŸ”— Book link

#BigData  #DataScience  #MachineLearning  #Statistics
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @datascience_bds for more
Visualisation: visual representations of data and information

Modern society is often referred to as 'the information society' - but how can we make sense of all the information we are bombarded with? In this free course, Visualisation: visual representations of data and information, you will learn how to interpret, and in some cases create, visual representations of data and information that help us to see things in a different way.

⏰ Free Online Course
⏰ 9 Module
⏰ Duration : 8 hours
πŸƒβ€β™‚οΈ Self paced
Offered by: openlearn

πŸ”— Course link

#Data #Visualization #data_science
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ
Data Science vs ML vs Data Analytics vs Math

Visualization created by our team.


#datascience
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
πŸ‘‰Join @datascience_bds for moreπŸ‘ˆ
Artificial Neural Network for Regression

Rating ⭐️: 4.6 out of 5
Duration ⏰: 1hr 11min on-demand video
Students πŸ‘¨β€πŸ«: 49,827
Created by: Hadelin de Ponteves, SuperDataScience Team, Ligency Team

πŸ”— Course link


#ai #ml #neural_networks #machine_learning #data_science #regression
βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–βž–
Join @datascience_bds for more cool data science materials.
*This channel belongs to @bigdataspecialist group
2025/02/25 11:10:51
Back to Top
HTML Embed Code: