Basics of Pandas for Data Analysis & Data Science

Learn Basics of Pandas for Data Analysis , Data Manipulation , Data Visualisation & Data Science

Rating ⭐️: 4.6 out 5
Students 👨‍🎓 : 2,376
Duration ⏰ : 1hr 55min on-demand video
Created by 👨‍🏫: Shan Singh

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Data Science and Machine Learning

by Dirk P. Kroese, Zdravko I. Botev, Thomas Taimre, Radislav Vaisman

📄 533 pages

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INTRODUCTION TO DATA SCIENCE/Machine Learning

In this course, I include easy-to-understand materials covering topics from data mining and machine learning. I try to explain the algorithms and the mathematics behind those algorithms in such a way that the resources do not overwhelm the learners. At the same time, I make sure that each lecture has adequate core content to build a data science foundation. I am still creating content and adding them to this curriculum.

🆓 Free Online Course
🎬 video lessons
🏃‍♂️ Self paced
Modules ⏰: 6
Source: computing4all
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#Data_Science #Data #Science
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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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#Data_Science #Data #Science #datascience_types
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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

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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
📁 downloadable resources
🏃‍♂️ Self paced
Offered by: Caltech

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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 ⭐️: 4.8 out 5
Students 👨‍🎓 : 5,201
Duration ⏰ : 1hr 44min on-demand video
Created by 👨‍🏫: Onur Baltacı

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#Projects #Data_Analysis #Machine_Learning #Data_Science
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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

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