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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


  • U

    Universidad Austral

    Estadística aplicada a los negocios

    Skills you'll gain: Regression Analysis, Statistical Inference, Descriptive Statistics, Risk Analysis, Business Analytics, Statistics, Data Literacy, Risk Modeling, Excel Formulas, Sampling (Statistics), Microsoft Excel, Sample Size Determination, Data Analysis, Statistical Methods, Risk Management, Probability, Descriptive Analytics, Statistical Analysis, Probability & Statistics, Data Science

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

  • D

    DeepLearning.AI

    Natural Language Processing with Attention Models

    Skills you'll gain: Natural Language Processing, Transfer Learning, Fine-tuning, Recurrent Neural Networks (RNNs), Applied Machine Learning, Keras (Neural Network Library), Model Evaluation

    ★ 4.4 (1.1K) · Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Generative AI Engineering with LLMs

    Skills you'll gain: Prompt Engineering, Large Language Modeling, Retrieval-Augmented Generation, Generative AI, PyTorch (Machine Learning Library), Prompt Patterns, Generative AI Agents, Fine-tuning, Vector Databases, LLM Application, Generative Model Architectures, Generative Adversarial Networks (GANs), Embeddings, Natural Language Processing, Tool Calling, Hugging Face, Model Optimization, Reinforcement Learning, Transfer Learning, Data Pipelines

    ★ 4.5 (1K) · Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Crunch Spatial Stats

    Skills you'll gain: Spatial Data Analysis, Spatial Analysis, Geographic Information Systems, Geospatial Information and Technology, Geospatial Mapping, Statistical Methods, Data Analysis, Statistical Analysis, Correlation Analysis, Technical Communication

    Beginner · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

  • E

    Edge Impulse

    Introduction to Embedded Machine Learning

    Skills you'll gain: Model Evaluation, Applied Machine Learning, Embedded Software, Model Training, Data Preprocessing, Machine Learning Methods, Embedded Systems, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, Data Ethics, Deep Learning, Responsible AI, Data Collection, Model Deployment, Convolutional Neural Networks, Predictive Modeling, Feature Engineering, Model Optimization, Computer Programming

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

  • C

    Coursera

    Responsible AI, Explainability & Deployment

    Skills you'll gain: Decision Intelligence, Responsible AI, Apache Kafka, Data Ethics, Operations Research, Data Pipelines, Model Deployment, Apache Spark, Real Time Data, Revenue Management, Market Dynamics, Supply Chain Planning, Supply Chain, Logistics, Compliance Management, Information Privacy, People Analytics, Regulatory Compliance, General Data Protection Regulation (GDPR), Python Programming

    Intermediate · Course · 3 - 6 Months

  • C

    Coursera

    Getting Started with R

    Skills you'll gain: R (Software), Data Import/Export, Package and Software Management, R Programming, Data Structures, Software Installation, Data Analysis Software, Data Analysis, Data Science

    ★ 4.3 (385) · Beginner · Guided Project · Less Than 2 Hours

  • U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad

    Skills you'll gain: Probability & Statistics, Descriptive Statistics, Statistics, Data Literacy, Data Analysis, Statistical Methods, Statistical Modeling, Correlation Analysis, Statistical Analysis, Descriptive Analytics, Data Presentation, Statistical Visualization, Probability, Data-Driven Decision-Making, Regression Analysis, Probability Distribution, Graphing, Scatter Plots

    ★ 4.6 (1.7K) · Beginner · Course · 1 - 4 Weeks

  • S

    SAS

    Statistical Thinking for Industrial Problem Solving, presented by JMP

    Skills you'll gain: Exploratory Data Analysis, Data Compilation, Correlation Analysis, Data Collection, Statistical Inference, Statistics, Statistical Process Controls, Data Literacy, Statistical Software, Statistical Methods, Statistical Modeling, Predictive Modeling, Data Analysis, Statistical Hypothesis Testing, Data-Driven Decision-Making, Regression Analysis, Statistical Analysis, Analytical Skills, SAS (Software), Data Visualization

    ★ 4.8 (101) · Beginner · Course · 1 - 3 Months

  • U

    Unilever

    Supply Chain Management and Analytics

    Skills you'll gain: Supply Chain, Demand Planning, Supply Chain Management, Supply Chain Planning, Process Improvement, Process Improvement and Optimization, Transportation, Supply Chain, and Logistics, Customer Demand Planning, Logistics Management, Supplier Management, Resource Planning, Sustainable Business, Logistics, Analytics, Profit and Loss (P&L) Management, Scheduling, Data Analysis, Risk Management, Data Visualization, Problem Solving

    ★ 4.8 (565) · Beginner · Course · 1 - 3 Months

  • U

    University of Minnesota

    Recommender Systems

    Skills you'll gain: AI Personalization, Model Evaluation, Machine Learning Algorithms, Taxonomy, Decision Support Systems, Business Metrics, Applied Machine Learning, Test Data, Machine Learning, Dimensionality Reduction, Performance Metric, Spreadsheet Software, Data Collection, Performance Measurement, Analysis, Systems Design, Solution Design, Predictive Modeling, Microsoft Excel, Statistical Methods

    ★ 4.3 (833) · Intermediate · Specialization · 3 - 6 Months

1…196197198…834

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

  • Estadística aplicada a los negocios: Universidad Austral
  • Natural Language Processing with Attention Models: DeepLearning.AI
  • Generative AI Engineering with LLMs: IBM
  • Crunch Spatial Stats: Coursera
  • Advanced Machine Learning on Google Cloud: Google Cloud
  • Introduction to Embedded Machine Learning: Edge Impulse
  • Responsible AI, Explainability & Deployment: Coursera
  • Getting Started with R: Coursera
  • Estadística y probabilidad: Universidad Nacional Autónoma de México
  • Statistical Thinking for Industrial Problem Solving, presented by JMP: SAS

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