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Data Science

Data science combines statistics, mathematics, and computer science to extract insights from complex data. It involves collecting, processing, and analyzing large datasets using machine learning, data mining, and visualization techniques. Data scientists solve problems and inform decision-making across industries.

Topics in Data Science

Explore these popular topics to discover new courses and books.

Machine Learning

Data Analysis

Python

Data Visualization

SQL

Artificial Intelligence

Natural Language Processing

Big Data

Deep Learning

Data Analytics

Data Management

Data Manipulation

Data Structures

Generative AI

Functions

TensorFlow

Data Modeling

Database Management

Neural Networks

R Programming

Excel

Variables

ChatGPT

Statistics

Tableau

Data Cleaning

Google Sheets

Pandas

JSON

Power BI

BigQuery

Performance Optimization

Databases

MySQL

Data Warehousing

Microsoft Excel

Cloud Services

SQL Server

Database Design

Risk Assessment

Data Transformation

Spreadsheets

Data Engineering

Data Collection

MongoDB

Data Processing

Probability

Data Mining

Market Research

Keras

Regression Analysis

Linear Regression

Model Evaluation

NumPy

Optimization

Classification

Data Pipelines

Apache Spark

Data Preparation

NoSQL

Exploratory Data Analysis

Relational Databases

Vertex AI

Data Integration

Data Governance

Time Series Analysis

PostgreSQL

Model Deployment

PyTorch

Data Preprocessing

Data Storage

Charts

Predictive Analytics

Data Storytelling

Regression

ETL

MATLAB

Statistical Analysis

XML

Data Privacy

Customer Segmentation

Data Extraction

Dashboards

Data Exploration

Logistic Regression

Supervised Learning

Marketing Analytics

Clustering

Web Scraping

scikit-learn

Analytics

Inheritance

Matplotlib

Unsupervised Learning

Lists

RESTful APIs

Sentiment Analysis

AI Ethics

Predictive Modeling

Forecasting

Recursion

Graphs

Jupyter Notebooks

Model Training

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Popular courses

Here are 24 popular courses in Data Science

Full Stack Web Development Specialization Capstone Project from The Hong Kong University of Science and Technology Predictive Modeling and Analytics from University of Colorado Boulder Data-driven Decision Making from PwC Investments I: Fundamentals of Performance Evaluation from University of Illinois at Urbana-Champaign Fundamentals of Scalable Data Science from IBM Skills Network Data and Visual Analytics from Arpan Chakraborty Artificial Intelligence - Probabalistic Models from Udacity Data Visualization with Python from IBM Skills Network Apache Spark Fundamentals from Justin Pihony D3: The Big Picture from Ben Sullins Mastering Data Visualization with R from Matthew Renze Data Science with R from Matthew Renze MERN Stack Front To Back: Full Stack React, Redux & Node.js from Brad Traversy Advanced Pandas from Paweł Kordek Pandas Playbook: Visualization from Reindert-Jan Ekker AI For Everyone from deeplearning.ai Sesenta años de inteligencia artificial from Universidad Nacional Autónoma de México How Google does Machine Learning em Português Brasileiro from Google Cloud Big Data Tools from Arizona State University Visualizing Data with Python from IBM AI for Leaders from Babson College MongoDB - The Complete Developer's Guide 2024 from Academind by Maximilian Schwarzmüller, Maximilian... Foundations of PyTorch from Janani Ravi Введение в искусственный интеллект from E-Learning Development Fund

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