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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

    Generative AI for Mobile App Developers

    Skills you'll gain: Prompt Engineering, Prompt Patterns, ChatGPT, Generative AI, Generative Model Architectures, Data Ethics, Generative AI Agents, AI Personalization, Mobile Development, AI powered creativity, Software Design Documents, Software Design, Prompt Engineering Tools, Anthropic Claude, Mobile Development Tools, LLM Application, AI literacy, iOS Development, Machine Learning Software, Software Development

    ★ 4.7 (12K) · Advanced · Specialization · 3 - 6 Months

  • E

    Edureka

    Transformer Architectures and Multimodal Models

    Skills you'll gain: Vision Transformer (ViT), Generative Model Architectures, Recurrent Neural Networks (RNNs), Embeddings, Large Language Modeling, Artificial Neural Networks, Software Architecture, Model Optimization, Deep Learning, Natural Language Processing, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Artificial Intelligence, Distributed Computing, Scalability, Unsupervised Learning, Computer Vision, Memory Management

    Intermediate · Course · 1 - 4 Weeks

  • M

    McMaster University

    Experimentation for Improvement

    Skills you'll gain: Experimentation, Scientific Visualization, Plot (Graphics), Data Visualization, Predictive Modeling, Pareto Chart, Predictive Analytics, Model Optimization, Regression Analysis, Statistical Modeling, Process Optimization, Statistical Software, Statistical Methods, Analysis, Data Analysis Software, Mathematical Modeling, R Programming, Data Analysis, Quantitative Research, Statistical Analysis

    ★ 4.9 (934) · Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Deep Learning with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Deep Learning, Convolutional Neural Networks, Artificial Neural Networks, Transfer Learning, Model Optimization, Applied Machine Learning, Image Analysis, Machine Learning Methods, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Evaluation, Model Deployment, Data Preprocessing, Classification Algorithms, Logistic Regression

    ★ 4.5 (96) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Advancing Your Career in Computer Vision Engineering

    Skills you'll gain: Model Optimization, Fine-tuning, Model Deployment, Data Preprocessing, Model Training, Model Evaluation, Technical Communication, Computer Vision, Image Analysis, Application Deployment, Technical Documentation, Technical Writing, Professional Development, Professional Networking, Artificial Intelligence and Machine Learning (AI/ML), Data Pipelines, Storytelling

    Intermediate · Course · 1 - 4 Weeks

  • U

    Universidad de los Andes

    Fundamentos de probabilidad y aplicaciones

    Skills you'll gain: Probability, Probability Distribution, Probability & Statistics, Applied Mathematics, Statistics, Risk Management, Risk Modeling, Combinatorics, Statistical Methods, Statistical Analysis, Variance Analysis

    ★ 4.8 (180) · Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Add AI Insights

    Skills you'll gain: Workflow Management, AI Workflows, Decision Intelligence, AI Enablement, AI Integrations, Project Management Software, Productivity Software, Automation, Project Management

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Computer Vision Fundamentals with Google Cloud

    Skills you'll gain: Model Optimization, Convolutional Neural Networks, Tensorflow, Model Training, Computer Vision, Image Analysis, Transfer Learning, Applied Machine Learning, Model Evaluation, Artificial Neural Networks, Fine-tuning, Deep Learning, Google Cloud Platform, Data Preprocessing, Classification Algorithms, Small Data, Cloud API

    ★ 4.6 (549) · Advanced · Course · 1 - 3 Months

  • U

    Universidad de los Andes

    Fundamentos de estadística aplicada

    Skills you'll gain: Statistical Hypothesis Testing, Descriptive Statistics, Data Literacy, Statistical Methods, Data Analysis, Statistics, Regression Analysis, Sampling (Statistics), Statistical Analysis, Statistical Modeling, Probability & Statistics, Probability Distribution, Applied Mathematics, Statistical Inference, Analytical Skills, Correlation Analysis

    ★ 4.5 (148) · Intermediate · Course · 1 - 3 Months

  • I

    IBM

    AI Workflow: Enterprise Model Deployment

    Skills you'll gain: Model Deployment, Apache Spark, Data Pipelines, Cloud Deployment, Model Training, IBM Cloud, Applied Machine Learning, Machine Learning Methods, Model Optimization, Machine Learning Algorithms, Docker (Software), Machine Learning, Containerization, Data Science, Python Programming, Scalability, Design Thinking

    ★ 4.3 (62) · Advanced · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft Azure Machine Learning

    Skills you'll gain: Unsupervised Learning, Microsoft Azure, Applied Machine Learning, Machine Learning Software, Model Training, Regression Analysis, Predictive Modeling, Machine Learning, No-Code Development, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Model Deployment, Artificial Intelligence, Classification Algorithms, Supervised Learning

    ★ 4.4 (296) · Beginner · Course · 1 - 4 Weeks

  • N

    National Taiwan University

    機器學習基石上 (Machine Learning Foundations)---Mathematical Foundations

    Skills you'll gain: Supervised Learning, Model Training, Machine Learning, Machine Learning Methods, Statistical Machine Learning, Model Evaluation, Machine Learning Algorithms, Artificial Intelligence and Machine Learning (AI/ML), Theoretical Computer Science, Classification Algorithms, Mathematical Modeling, Statistical Methods, Mathematical Theory & Analysis, Probability, Probability & Statistics, Algorithms

    ★ 4.9 (937) · Beginner · Course · 1 - 3 Months

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

  • Generative AI for Mobile App Developers: IBM
  • Transformer Architectures and Multimodal Models: Edureka
  • Experimentation for Improvement: McMaster University
  • Deep Learning with PyTorch: IBM
  • Advancing Your Career in Computer Vision Engineering: Coursera
  • Fundamentos de probabilidad y aplicaciones: Universidad de los Andes
  • Add AI Insights: Coursera
  • Computer Vision Fundamentals with Google Cloud: Google Cloud
  • Fundamentos de estadística aplicada: Universidad de los Andes
  • AI Workflow: Enterprise Model Deployment: IBM

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