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  • Applied Data Science

Applied Data Science Courses

Applied Data Science courses can help you learn data analysis, statistical modeling, machine learning, and data visualization techniques. You can build skills in data cleaning, exploratory data analysis, and predictive analytics to derive insights from complex datasets. Many courses introduce tools like Python, R, and SQL, along with libraries such as Pandas and Scikit-learn, that support implementing data-driven solutions and automating processes in real-world applications.

Popular Applied Data Science Courses and Certifications


  • I

    IBM

    IBM Back-End Development

    Skills you'll gain: Cloud Deployment, Software Development Life Cycle, Open Web Application Security Project (OWASP), Istio, Cloud-Native Computing, Linux Commands, Software Architecture, Application Deployment, Kubernetes, Bash (Scripting Language), Restful API, Shell Script, Django (Web Framework), Object-Relational Mapping, OpenShift, Git (Version Control System), Cloud Applications, Grafana, Microservices, Python Programming

    ★ 4.6 (53K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Skills
    Job Skills
  • D

    Duke University

    Rust Programming

    Skills you'll gain: Rust (Programming Language), Containerization, Data Pipelines, CI/CD, Docker (Software), Jenkins, Application Deployment, DevOps, LLM Application, Continuous Integration, Hugging Face, Unit Testing, Large Language Modeling, Test Case, Restful API, Serverless Computing, Command-Line Interface, Natural Language Processing, Computer Programming, Cloud Computing

    ★ 3.9 (299) · Beginner · Specialization · 3 - 6 Months

  • U

    University of Minnesota

    Analytics for Decision Making

    Skills you'll gain: Time Series Analysis and Forecasting, Model Evaluation, Simulations, Operations Research, Probability Distribution, Mathematical Modeling, Supply Chain Planning, Supply Chain, Probability, Predictive Modeling, Statistical Methods, Data Preprocessing, Transportation, Supply Chain, and Logistics, Business Modeling, Simulation and Simulation Software, Model Training, Business Analytics, Workforce Management, Analytics, Predictive Analytics

    ★ 4.7 (304) · Beginner · Specialization · 3 - 6 Months

  • N

    New York Institute of Finance

    Reinforcement Learning for Trading Strategies

    Skills you'll gain: Reinforcement Learning, Recurrent Neural Networks (RNNs), Financial Trading, Deep Learning, Portfolio Management, Machine Learning Methods, Model Training, Artificial Neural Networks, Machine Learning Software, Applied Machine Learning, Markov Model, Model Evaluation

    ★ 3.5 (250) · Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Introduction to Microsoft 365 Copilot

    Skills you'll gain: Microsoft Copilot, Prompt Engineering, Microsoft 365, Productivity Software, Microsoft Office, Workflow Management, AI powered creativity, Collaborative Software, Data Management, AI Enablement, Strategic Communication, Microsoft Word, Microsoft Excel, Microsoft PowerPoint, Presentations, Generative AI, Data Security

    ★ 4.6 (849) · Beginner · Course · 1 - 3 Months

  • I

    Imperial College London

    TensorFlow 2 for Deep Learning

    Skills you'll gain: Tensorflow, Generative AI, Recurrent Neural Networks (RNNs), Autoencoders, Generative Model Architectures, Data Pipelines, Keras (Neural Network Library), Model Evaluation, Deep Learning, Image Analysis, Model Training, Bayesian Network, Transfer Learning, Convolutional Neural Networks, Computer Programming, Model Optimization, Data Validation, Applied Machine Learning, Bayesian Statistics, Supervised Learning

    ★ 4.8 (722) · Intermediate · Specialization · 3 - 6 Months

  • N

    New York University

    Fundamentals of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Dimensionality Reduction, Unsupervised Learning, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Machine Learning, Machine Learning Software, Financial Trading, Financial Market, Reinforcement Learning, Scikit Learn (Machine Learning Library), Financial Services, Market Data, Correlation Analysis, Exploratory Data Analysis, Portfolio Management, Python Programming, Artificial Neural Networks

    ★ 3.7 (341) · Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Introducción a la ciencia de datos aplicada

    Skills you'll gain: Data Visualization, Exploratory Data Analysis, Statistical Hypothesis Testing, Statistical Visualization, Correlation Analysis, Data Visualization Software, Data Science, Jupyter, Data Analysis, Business Analytics, Statistical Methods, Statistical Analysis, Probability & Statistics, Statistics, Python Programming, Descriptive Statistics, Statistical Inference, Data Modeling, Statistical Modeling, Data Validation

    ★ 4.7 (450) · Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Doing More with SAS Programming

    Skills you'll gain: SAS (Software), Data Manipulation, Data Transformation, Data Wrangling, Data Processing, Data Integration, Statistical Programming, Data Analysis, Data Management, Data Presentation

    ★ 4.8 (944) · Intermediate · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Natural Language Processing with Sequence Models

    Skills you'll gain: Natural Language Processing, Recurrent Neural Networks (RNNs), Large Language Modeling, Artificial Neural Networks, Deep Learning, Tensorflow, Text Mining, Embeddings, Generative Model Architectures, Machine Learning Methods, Model Training, Network Architecture

    ★ 4.5 (1.2K) · Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Custom Models, Layers, and Loss Functions with TensorFlow

    Skills you'll gain: Tensorflow, Deep Learning, Keras (Neural Network Library), Convolutional Neural Networks, Model Optimization, Model Training, Artificial Neural Networks, Model Evaluation

    ★ 4.9 (1.1K) · Intermediate · Course · 1 - 3 Months

  • B

    Board Infinity

    Deploying AI Agents: LLMs, LangGraph, and Production APIs

    Skills you'll gain: LangGraph, AI Workflows, AI Orchestration, LLM Application, LangChain, CrewAI, Large Language Modeling, Agentic Workflows, Agentic systems, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Context Management, Vector Databases, Memory Management, Performance Testing, Data Validation

    Intermediate · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular applied data science courses

  • IBM Back-End Development: IBM
  • Rust Programming: Duke University
  • Analytics for Decision Making: University of Minnesota
  • Reinforcement Learning for Trading Strategies: New York Institute of Finance
  • Introduction to Microsoft 365 Copilot: Microsoft
  • TensorFlow 2 for Deep Learning: Imperial College London
  • Fundamentals of Machine Learning in Finance: New York University
  • Introducción a la ciencia de datos aplicada: Universidad de los Andes
  • Doing More with SAS Programming: SAS
  • Natural Language Processing with Sequence Models: DeepLearning.AI

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