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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 Business Intelligence (BI) Analyst

    Skills you'll gain: Dashboard, Extract, Transform, Load, Data Storytelling, Data Visualization, Dashboard Creation, Database Design, Presentations, Data Presentation, Descriptive Statistics, IBM DB2, Business Intelligence, Data Visualization Software, Statistical Hypothesis Testing, Tableau Software, Relational Databases, Database Systems, Statistical Visualization, IBM Cognos Analytics, Interactive Data Visualization, Excel Formulas

    ★ 4.7 (16K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Bestseller
    Bestseller
  • D

    DeepLearning.AI

    Build Basic Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Deep Learning, Convolutional Neural Networks, Responsible AI, Data Ethics, Model Training, Model Evaluation

    ★ 4.7 (2K) · Intermediate · Course · 1 - 4 Weeks

  • B

    Board Infinity

    Advanced Deep Learning Architectures

    Skills you'll gain: Model Deployment, Generative AI, Large Language Modeling, Generative Model Architectures, PyTorch (Machine Learning Library), Fine-tuning, Application Deployment, Model Optimization, Deep Learning, MLOps (Machine Learning Operations), Cloud Deployment, Vision Transformer (ViT), Transfer Learning, Token Optimization, LLM Application, Hugging Face, Convolutional Neural Networks, Containerization, Model Training, Computer Vision

    Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Train, Tune, & Ship: End-to-End Machine Learning Engineering

    Skills you'll gain: Model Training, Fine-tuning, Model Evaluation, Model Optimization, Machine Learning Methods, Predictive Modeling, Tensorflow, Statistical Machine Learning, Machine Learning Software, MLOps (Machine Learning Operations), Computer Vision, Performance Testing, Transfer Learning, Feature Engineering, Scikit Learn (Machine Learning Library), Verification And Validation, Network Architecture, Deep Learning, Benchmarking, PyTorch (Machine Learning Library)

    Intermediate · Specialization · 1 - 3 Months

  • U

    University of California, Santa Cruz

    Bayesian Statistics: Techniques and Models

    Skills you'll gain: Bayesian Statistics, Statistical Modeling, Statistical Methods, Model Evaluation, Markov Model, Statistical Analysis, Statistical Software, Sampling (Statistics), Mathematical Modeling, Regression Analysis, R Programming, Simulations, Statistical Inference, Correlation Analysis, Probability Distribution

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

  • A

    Alberta Machine Intelligence Institute

    Machine Learning Algorithms: Supervised Learning Tip to Tail

    Skills you'll gain: Supervised Learning, Model Optimization, Machine Learning Algorithms, Machine Learning Methods, Applied Machine Learning, Classification Algorithms, Model Evaluation, Jupyter, Statistical Machine Learning, Decision Tree Learning, Model Training, Machine Learning, Data Preprocessing, Business Solutions, Python Programming, Regression Analysis, Performance Analysis, Data Processing

    ★ 4.7 (417) · Mixed · Course · 1 - 4 Weeks

  • S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Statistical Machine Learning, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms

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

  • M

    Microsoft

    Preparing for AI-900: Microsoft Azure AI Fundamentals exam

    Skills you'll gain: Natural Language Processing, Microsoft Azure, Computer Vision, No-Code Development, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning, Predictive Modeling, Artificial Intelligence, AI literacy, Responsible AI

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

  • G

    Google

    Google Project Management

    Skills you'll gain: Quality Management, Project Closure, Scope Management, Team Management, Project Management Life Cycle, Product Quality (QA/QC), Sprint Retrospectives, Project Management, Project Planning, Agile Project Management, Quality Assessment, Quality Assurance, Backlogs, Team Leadership, Project Scoping, Agile Software Development, Stakeholder Communications, Change Management, Web Presence, Interviewing Skills

    ★ 4.8 (143K) · Beginner · Professional Certificate · 3 - 6 Months

    Category: Job Skills
    Job Skills
  • P

    Packt

    Modern Deep Learning Foundations

    Skills you'll gain: Model Deployment, Deep Learning, Model Optimization, Model Training, Convolutional Neural Networks, PyTorch (Machine Learning Library), Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, Computer Vision, Recurrent Neural Networks (RNNs), Model Evaluation, Artificial Neural Networks, Natural Language Processing

    Intermediate · Course · 1 - 3 Months

  • S

    SkillsBooster Academy

    Introduction to AI for Beginners

    Skills you'll gain: Prompt Engineering, Responsible AI, Large Language Modeling, AI literacy, Generative AI, AI Personalization, AI powered creativity, Artificial Intelligence, Email Automation, LLM Application, Data Ethics, ChatGPT, AI Workflows, Artificial Intelligence and Machine Learning (AI/ML), Content Creation, Personal Development, Productivity, Photo/Video Production and Technology, Creative Thinking, Organizational Skills

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

  • C

    Coursera

    Power BI for Beginners: Build your First Report

    Skills you'll gain: Data Transformation, Power BI, Data Cleansing, Dashboard, Dashboard Creation, Data Visualization, Data Presentation, Data Import/Export, Data Integration, Data Visualization Software, Business Intelligence, Data Storytelling, Data Modeling

    ★ 4.5 (171) · Beginner · Guided Project · Less Than 2 Hours

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

  • IBM Business Intelligence (BI) Analyst: IBM
  • Build Basic Generative Adversarial Networks (GANs): DeepLearning.AI
  • Advanced Deep Learning Architectures: Board Infinity
  • Train, Tune, & Ship: End-to-End Machine Learning Engineering: Coursera
  • Bayesian Statistics: Techniques and Models: University of California, Santa Cruz
  • Machine Learning Algorithms: Supervised Learning Tip to Tail: Alberta Machine Intelligence Institute
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Preparing for AI-900: Microsoft Azure AI Fundamentals exam: Microsoft
  • Google Project Management: Google
  • Modern Deep Learning Foundations: Packt

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