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.
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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.
π Article Link
#Data_Science #Data #Science #datascience_types
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Knowledgehut
15 Different Types of Data Scientists [with Responsibilities]
Hereβs a list of data scientist types along with their responsibilities. Also, you will find a detailed description of data scientists, their salary, job outlook, and skills.
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
StarsβοΈ: 21.6k
Fork: 4.3K
Repo: https://github.com/microsoft/Data-Science-For-Beginners
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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
StarsβοΈ: 21.6k
Fork: 4.3K
Repo: https://github.com/microsoft/Data-Science-For-Beginners
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GitHub
GitHub - microsoft/Data-Science-For-Beginners: 10 Weeks, 20 Lessons, Data Science for All!
10 Weeks, 20 Lessons, Data Science for All! Contribute to microsoft/Data-Science-For-Beginners development by creating an account on GitHub.
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.
β° Free Online Course
π¬ 18 Video lessons
π downloadable resources
πββοΈ Self paced
Offered by: Caltech
π Course link
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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.
β° Free Online Course
π¬ 18 Video lessons
π downloadable resources
πββοΈ Self paced
Offered by: Caltech
π Course link
#Machine #Leaning #machinelearning #data_science
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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 βοΈ: 4.8 out 5
Students π¨βπ : 5,201
Duration β° : 1hr 44min on-demand video
Created by π¨βπ«: Onur BaltacΔ±
π Course Link
#Projects #Data_Analysis #Machine_Learning #Data_Science
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Learn how to build Data Science Projects with Python. Classification, Time-Series and NLP Projects. Not for beginners.
Rating βοΈ: 4.8 out 5
Students π¨βπ : 5,201
Duration β° : 1hr 44min on-demand video
Created by π¨βπ«: Onur BaltacΔ±
π Course Link
#Projects #Data_Analysis #Machine_Learning #Data_Science
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Udemy
Free Pandas Tutorial - Basics of Pandas for Data Analysis & Data Science in Python
Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science - Free Course
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
StarsβοΈ: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook
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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
StarsβοΈ: 39k
Fork: 17.1K
Repo: https://github.com/jakevdp/PythonDataScienceHandbook
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GitHub
GitHub - jakevdp/PythonDataScienceHandbook: Python Data Science Handbook: full text in Jupyter Notebooks
Python Data Science Handbook: full text in Jupyter Notebooks - jakevdp/PythonDataScienceHandbook
NOC:Python for Data Science, IIT Madras
π Free Online Course
π» 40 Lecture Videos
β° 5 Module
πββοΈ Self paced
Teacher π¨βπ« : Prof. Ragunathan Rengasamy
π https://nptel.ac.in/courses/106106212
#Data_Science #IIT
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π Free Online Course
π» 40 Lecture Videos
β° 5 Module
πββοΈ Self paced
Teacher π¨βπ« : Prof. Ragunathan Rengasamy
π https://nptel.ac.in/courses/106106212
#Data_Science #IIT
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Applied Data Science
by Daniel Krasner
π 141 pages
π Book link
#BigData #DataScience #MachineLearning #Statistics
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by Daniel Krasner
π 141 pages
π Book link
#BigData #DataScience #MachineLearning #Statistics
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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.
β° Free Online Course
β° 9 Module
β° Duration : 8 hours
πββοΈ Self paced
Offered by: openlearn
π Course link
#Data #Visualization #data_science
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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.
β° Free Online Course
β° 9 Module
β° Duration : 8 hours
πββοΈ Self paced
Offered by: openlearn
π Course link
#Data #Visualization #data_science
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data-science-ipython-notebooks
Creator: Donne Martin
Stars βοΈ: 22.6k
Forked By: 7k
GithubRepo: https://github.com/donnemartin/data-science-ipython-notebooks
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Creator: Donne Martin
Stars βοΈ: 22.6k
Forked By: 7k
GithubRepo: https://github.com/donnemartin/data-science-ipython-notebooks
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GitHub
GitHub - donnemartin/data-science-ipython-notebooks: Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras)β¦
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials,...
Data Science vs ML vs Data Analytics vs Math
Visualization created by our team.
#datascience
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Visualization created by our team.
#datascience
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Artificial Neural Network for Regression
Rating βοΈ: 4.6 out of 5
Duration β°: 1hr 11min on-demand video
Students π¨βπ«: 49,827
Created by: Hadelin de Ponteves, SuperDataScience Team, Ligency Team
π Course link
#ai #ml #neural_networks #machine_learning #data_science #regression
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Rating βοΈ: 4.6 out of 5
Duration β°: 1hr 11min on-demand video
Students π¨βπ«: 49,827
Created by: Hadelin de Ponteves, SuperDataScience Team, Ligency Team
π Course link
#ai #ml #neural_networks #machine_learning #data_science #regression
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Udemy
Data Manipulation in Python: Master Python, Numpy & Pandas
Learn Python, NumPy & Pandas for Data Science: Master essential data manipulation for data science in python