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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.


More to explore:

Popular Applied Data Science Courses and Certifications


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    DeepLearning.AI

    DeepLearning.AI TensorFlow Developer

    Skills you'll gain: Tensorflow, Recurrent Neural Networks (RNNs), Convolutional Neural Networks, Computer Vision, Model Evaluation, Transfer Learning, Image Analysis, Keras (Neural Network Library), Natural Language Processing, Time Series Analysis and Forecasting, Deep Learning, Embeddings, Artificial Neural Networks, Generative AI, Applied Machine Learning, Classification Algorithms, Predictive Modeling, Data Preprocessing, Forecasting, Machine Learning

    4.7
    Rating, 4.7 out of 5 stars
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    25K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

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    U

    Universitat Politècnica de València

    Introducción a R para ciencia de datos

    Skills you'll gain: R Programming, R (Software), Statistical Analysis, Ggplot2, Data Import/Export, Statistical Methods, Data Structures, Programming Principles, Data Preprocessing, Data Science, Model Evaluation, Machine Learning, Data Manipulation, Exploratory Data Analysis, Data Visualization Software

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Google Business Intelligence

    Skills you'll gain: Data Modeling, Stakeholder Engagement, Database Design, Dashboard, Business Intelligence, Extract, Transform, Load, Tableau Software, Data Warehousing, Stakeholder Communications, Data Pipelines, Business Reporting, Data Mart, Data Visualization, Interviewing Skills, Applicant Tracking Systems, Business Process, AI Enablement, Business Analysis, Data Analysis, SQL

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
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    6.6K reviews

    Advanced · Professional Certificate · 3 - 6 Months

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    IBM

    IBM Generative AI Engineering

    Skills you'll gain: Prompt Engineering, Exploratory Data Analysis, Prompt Patterns, LangChain, Large Language Modeling, Retrieval-Augmented Generation, Model Evaluation, Unsupervised Learning, Generative Model Architectures, PyTorch (Machine Learning Library), ChatGPT, Generative AI, Restful API, LLM Application, Keras (Neural Network Library), Data Transformation, Supervised Learning, Responsible AI, Vector Databases, Data Import/Export

    4.6
    Rating, 4.6 out of 5 stars
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    97K reviews

    Beginner · Professional Certificate · 3 - 6 Months

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    S

    Multiple educators

    Machine Learning

    Skills you'll gain: Unsupervised Learning, Supervised Learning, Transfer Learning, Machine Learning, Jupyter, Applied Machine Learning, Data Ethics, Decision Tree Learning, Model Evaluation, Tensorflow, Scikit Learn (Machine Learning Library), NumPy, Predictive Modeling, Deep Learning, Artificial Intelligence, Classification Algorithms, Reinforcement Learning, Random Forest Algorithm, Feature Engineering, Data Preprocessing

    4.9
    Rating, 4.9 out of 5 stars
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    37K reviews

    Beginner · Specialization · 1 - 3 Months

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    Stanford University

    AI in Healthcare

    Skills you'll gain: Feature Engineering, Healthcare Ethics, Pharmaceuticals, Data Ethics, Clinical Research, Clinical Data Management, Health Systems, Healthcare Industry Knowledge, Clinical Research Ethics, Unstructured Data, Health Care, Model Deployment, Health Informatics, Data Mining, Managed Care, Model Evaluation, Responsible AI, Applied Machine Learning, Machine Learning, Artificial Intelligence

    4.7
    Rating, 4.7 out of 5 stars
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    2.4K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
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    IBM

    IBM Introduction to Machine Learning

    Skills you'll gain: Exploratory Data Analysis, Unsupervised Learning, Supervised Learning, Feature Engineering, Classification Algorithms, Regression Analysis, Dimensionality Reduction, Data Cleansing, Data Preprocessing, Data Access, Applied Machine Learning, Model Evaluation, Data Analysis, Predictive Modeling, Statistical Inference, Statistical Hypothesis Testing, Statistical Methods, Scikit Learn (Machine Learning Library), Machine Learning, Machine Learning Algorithms

    4.6
    Rating, 4.6 out of 5 stars
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    3.3K reviews

    Intermediate · Specialization · 3 - 6 Months

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    Imperial College London

    Mathematics for Machine Learning: Linear Algebra

    Skills you'll gain: Linear Algebra, NumPy, Applied Mathematics, Machine Learning Algorithms, Jupyter, Algorithms, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
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    13K reviews

    Beginner · Course · 1 - 3 Months

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    The University of Hong Kong

    Materials in Oral Health

    Skills you'll gain: Medical Imaging, Dentistry, Dental Procedures, Dental Instruments, Laboratory Testing, X-Ray Computed Tomography, Materials science, Dental Care, Biomedical Engineering, Oral Health, 3D Modeling, Chemistry

    4.7
    Rating, 4.7 out of 5 stars
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    524 reviews

    Mixed · Course · 1 - 4 Weeks

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    Edureka

    AI for Strategic Decision Intelligence

    Skills you'll gain: Data Storytelling, Predictive Analytics, Data Presentation, Responsible AI, Predictive Modeling, Strategic Decision-Making, Data-Driven Decision-Making, Business Intelligence, Data Visualization, Decision Making, Artificial Intelligence and Machine Learning (AI/ML), Scikit Learn (Machine Learning Library), Business Marketing, Natural Language Processing, Text Mining, Python Programming, Reinforcement Learning, Data Security, Network Analysis, Security Awareness

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
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    Google

    Google AI Essentials

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Generative AI, AI Enablement, AI Security, Risking, Artificial Intelligence and Machine Learning (AI/ML), AI Workflows, Model Evaluation, Process Optimization, Operational Efficiency, Emerging Technologies, Data Security, Critical Thinking, Analysis, Natural Language Processing, Innovation, Data-Driven Decision-Making

    4.8
    Rating, 4.8 out of 5 stars
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    18K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
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    IIMA - IIM Ahmedabad

    Pre-MBA Statistics

    Skills you'll gain: Sampling (Statistics), Probability, Probability & Statistics, Statistical Hypothesis Testing, Statistics, Data Literacy, Statistical Visualization, Probability Distribution, Statistical Methods, Statistical Inference, Estimation, Descriptive Statistics, Sample Size Determination, Data Analysis, Data Science

    4.6
    Rating, 4.6 out of 5 stars
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    293 reviews

    Beginner · Course · 1 - 3 Months

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

  • DeepLearning.AI TensorFlow Developer: DeepLearning.AI
  • Introducción a R para ciencia de datos: Universitat Politècnica de València
  • Google Business Intelligence: Google
  • IBM Generative AI Engineering: IBM
  • Machine Learning: DeepLearning.AI
  • AI in Healthcare: Stanford University
  • IBM Introduction to Machine Learning: IBM
  • Mathematics for Machine Learning: Linear Algebra: Imperial College London
  • Materials in Oral Health: The University of Hong Kong
  • AI for Strategic Decision Intelligence: Edureka

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