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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


  • Status: Preview
    Preview
    C

    Columbia University

    Causal Inference 2

    Skills you'll gain: Statistical Inference, Econometrics, Advanced Analytics, Statistical Analysis, Regression Analysis, Time Series Analysis and Forecasting, Statistical Methods, Statistical Modeling, Research Design

    3.3
    Rating, 3.3 out of 5 stars
    ·
    15 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Alberta

    Prediction and Control with Function Approximation

    Skills you'll gain: Reinforcement Learning, Deep Learning, Feature Engineering, Machine Learning, Supervised Learning, Artificial Neural Networks, Pseudocode, Linear Algebra, Probability Distribution

    4.8
    Rating, 4.8 out of 5 stars
    ·
    844 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    Universidad de los Andes

    Modelos predictivos con aprendizaje automático

    Skills you'll gain: Data Ethics, Predictive Modeling, Classification And Regression Tree (CART), Statistical Machine Learning, Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Analytics, Scikit Learn (Machine Learning Library), Machine Learning, Python Programming, Unsupervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    78 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Where, Why, and How of Lambda Functions in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, Jupyter, Exploratory Data Analysis, Python Programming, Computational Logic

    4.8
    Rating, 4.8 out of 5 stars
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    34 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    ML Parameters Optimization: GridSearch, Bayesian, Random

    Skills you'll gain: Scikit Learn (Machine Learning Library), Regression Analysis, Performance Tuning, Applied Machine Learning, Machine Learning Methods, Statistical Machine Learning, Machine Learning, Bayesian Statistics, Data Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    8 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    GIS: Geographic Information Systems for Sustainability

    Skills you'll gain: Sustainable Development, Geographic Information Systems, Geospatial Mapping, Sustainability Reporting, Spatial Data Analysis, Sustainable Business, Spatial Analysis, Data Storytelling, Environmental Monitoring, Data Visualization, Stakeholder Engagement, Trend Analysis, Decision Making

    4.5
    Rating, 4.5 out of 5 stars
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    13 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    U

    University of Pennsylvania

    AI and Machine Learning Essentials with Python

    Skills you'll gain: Statistical Machine Learning, PyTorch (Machine Learning Library), Statistical Methods, Probability, Probability & Statistics, Sampling (Statistics), Deep Learning, Probability Distribution, Python Programming, Supervised Learning, Statistics, Machine Learning Methods, Machine Learning, Regression Analysis, Data Processing, Agentic systems, Data Science, Artificial Intelligence, Artificial Neural Networks, Algorithms

    4.5
    Rating, 4.5 out of 5 stars
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    38 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Preview
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    H

    H2O.ai

    Practical Machine Learning on H2O

    Skills you'll gain: Unsupervised Learning, Deep Learning, Anomaly Detection, Machine Learning Algorithms, Applied Machine Learning, Machine Learning, Supervised Learning, Decision Tree Learning, Predictive Modeling, Data Validation, Random Forest Algorithm, Data Import/Export, Data Manipulation, Feature Engineering, Statistical Methods

    4.5
    Rating, 4.5 out of 5 stars
    ·
    74 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Access Bioinformatics Databases with Biopython

    Skills you'll gain: Bioinformatics, Scientific Visualization, Data Access, Extensible Markup Language (XML), Data Visualization, Data Import/Export, Data Manipulation, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    46 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Next-Gen Workplace Automation with GenAI

    Skills you'll gain: Prompt Engineering, Anthropic Claude, Email Automation, Generative AI, ChatGPT, Responsible AI, Automation, Workflow Management, AI Product Strategy, Report Writing, Digital Transformation, Marketing Materials, Team Management, AI Personalization, Generative AI Agents, Productivity, Innovation, Operational Efficiency, Performance Reporting, Customer Support

    4.4
    Rating, 4.4 out of 5 stars
    ·
    374 reviews

    Intermediate · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Fundamentals of AI Agents Using RAG and LangChain

    Skills you'll gain: Prompt Engineering, LLM Application, Generative AI, Large Language Modeling, PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Natural Language Processing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    173 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google Cloud

    Machine Learning with TensorFlow on Google Cloud em Português Brasileiro

    Skills you'll gain: Feature Engineering, Responsible AI, Tensorflow, Exploratory Data Analysis, Google Cloud Platform, Keras (Neural Network Library), Data Quality, Data Cleansing, Data Strategy, Machine Learning Methods, Machine Learning, Applied Machine Learning, MLOps (Machine Learning Operations), Unsupervised Learning, Dataflow, Data Analysis, Deep Learning, Artificial Neural Networks, Machine Learning Algorithms, Supervised Learning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    92 reviews

    Intermediate · Specialization · 3 - 6 Months

Searches related to applied data science

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

  • Causal Inference 2: Columbia University
  • Prediction and Control with Function Approximation: University of Alberta
  • Modelos predictivos con aprendizaje automático: Universidad de los Andes
  • Where, Why, and How of Lambda Functions in Python : Coursera
  • ML Parameters Optimization: GridSearch, Bayesian, Random: Coursera
  • GIS: Geographic Information Systems for Sustainability: University of Michigan
  • AI and Machine Learning Essentials with Python: University of Pennsylvania
  • Practical Machine Learning on H2O: H2O.ai
  • Access Bioinformatics Databases with Biopython: Coursera
  • Next-Gen Workplace Automation with GenAI: Coursera

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