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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


  • D

    DeepLearning.AI

    Convolutional Neural Networks in TensorFlow

    Skills you'll gain: Convolutional Neural Networks, Transfer Learning, Model Evaluation, Tensorflow, Keras (Neural Network Library), Model Training, Computer Vision, Fine-tuning, Classification Algorithms, Image Analysis, Applied Machine Learning, Deep Learning, Model Optimization, Machine Learning, Data Preprocessing

    ★ 4.7 (8.2K) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Raster Processing & Remote Sensing

    Skills you'll gain: Geospatial Information and Technology, Environmental Monitoring, Spatial Data Analysis, Model Evaluation, Geographic Information Systems, GIS Software, Data Processing, Spatial Analysis, Image Analysis, Environmental Science, Data Analysis, Data Transformation, Verification And Validation, Technical Communication

    Beginner · Course · 3 - 6 Months

  • D

    DeepLearning.AI

    Sequence Models

    Skills you'll gain: Recurrent Neural Networks (RNNs), Hugging Face, Natural Language Processing, Generative AI, Artificial Neural Networks, Embeddings, Large Language Modeling, Deep Learning, Transfer Learning, Fine-tuning, Data Preprocessing

    ★ 4.8 (31K) · Intermediate · Course · 1 - 4 Weeks

  • E

    Edge Impulse

    Edge AI for Microcontrollers

    Skills you'll gain: Computer Vision, Convolutional Neural Networks, Applied Machine Learning, Embedded Software, Model Training, Machine Learning Methods, Embedded Systems, MLOps (Machine Learning Operations), Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Algorithms, Responsible AI, Data Collection, Predictive Modeling, Artificial Intelligence, Model Optimization, AI literacy, AI Product Strategy, Prototyping, Product Development

    ★ 4.8 (896) · Intermediate · Specialization · 1 - 3 Months

  • G

    Google

    Maximize Productivity With AI Tools

    Skills you'll gain: Google Gemini, Gemini, Google Workspace, Productivity Software, Generative AI, AI literacy, Model Training, AI Enablement, Responsible AI, Operational Efficiency, AI Integrations, Business Workflow Analysis, Google Sheets, Complex Problem Solving

    ★ 4.8 (3.5K) · Beginner · Course · 1 - 3 Months

  • P

    Packt

    Building AI Agents with LLMs, RAG, and Knowledge Graphs

    Skills you'll gain: Prompt Engineering, Retrieval-Augmented Generation, LLM Application, Large Language Modeling, Reinforcement Learning, Artificial Intelligence and Machine Learning (AI/ML), LangChain, AI Orchestration, Natural Language Processing, Generative AI Agents, Agentic Workflows, Multimodal Prompts, AI Integrations, Artificial Intelligence, Agentic systems, Machine Learning Methods, Python Programming, Machine Learning, System Design and Implementation, Data Science

    Intermediate · Specialization · 1 - 3 Months

  • I

    IBM

    Generative AI: Introduction and Applications

    Skills you'll gain: Generative AI, Generative Model Architectures, ChatGPT, AI literacy, Artificial Intelligence and Machine Learning (AI/ML), Augmented and Virtual Reality (AR/VR), Machine Learning, Data Synthesis

    ★ 4.6 (4.4K) · Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Building, Optimizing, and Validating Machine Learning Models

    Skills you'll gain: Model Training, Model Optimization, Model Evaluation, Machine Learning Software, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Feature Engineering, Workflow Management, Verification And Validation, Machine Learning, Supervised Learning, Statistical Machine Learning, Statistical Modeling, Scikit Learn (Machine Learning Library), Benchmarking, Random Forest Algorithm, Performance Analysis, Cost Management, Resource Utilization

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    ★ 4.8 (2.8K) · Beginner · Course · 1 - 3 Months

  • U

    University of Michigan

    Programming for Everybody (Getting Started with Python)

    Skills you'll gain: Debugging, Programming Principles, Program Development, Computer Programming, Python Programming, Computational Thinking, Software Installation

    ★ 4.8 (233K) · Beginner · Course · 1 - 3 Months

  • P

    Pontificia Universidad Católica de Chile

    Certificado en Introducción a la Ciencia de Datos

    Skills you'll gain: Predictive Analytics, Unsupervised Learning, Data Cleansing, Data Visualization, Exploratory Data Analysis, Supervised Learning, Data Presentation, Model Evaluation, Dimensionality Reduction, Model Optimization, Plot (Graphics), Matplotlib, Data Science, Descriptive Analytics, Predictive Modeling, Machine Learning Methods, Data Analysis, Data-Driven Decision-Making, Data Processing, Graphing

    Mastertrack · 6 - 12 Months

  • I

    IBM

    Machine Learning Introduction for Everyone

    Skills you'll gain: Model Evaluation, Predictive Modeling, Model Training, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Applied Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Deep Learning, Classification Algorithms, Unsupervised Learning, Regression Analysis, Reinforcement Learning

    ★ 4.6 (310) · Beginner · Course · 1 - 4 Weeks

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

  • Convolutional Neural Networks in TensorFlow: DeepLearning.AI
  • Raster Processing & Remote Sensing: Coursera
  • Sequence Models: DeepLearning.AI
  • Edge AI for Microcontrollers: Edge Impulse
  • Maximize Productivity With AI Tools: Google
  • Building AI Agents with LLMs, RAG, and Knowledge Graphs: Packt
  • Generative AI: Introduction and Applications: IBM
  • Building, Optimizing, and Validating Machine Learning Models: Coursera
  • Inferential Statistics: Duke University
  • Programming for Everybody (Getting Started with Python): University of Michigan

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