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Applied Data Science Courses Online

Master applied data science techniques for real-world problem-solving. Learn data manipulation, visualization, and machine learning using Python.


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Explore the Applied Data Science Course Catalog

Sort by: Best Match
​
  • C

    Coursera

    Financial Analytics in RStudio: Identify Profit Drivers

    Skills you'll gain: Operational Analysis, Performance Analysis, Performance Improvement, Data Import/Export, Variance Analysis, Exploratory Data Analysis, Data Analysis, Financial Analysis, Operations Management, Operating Expense, Plot (Graphics), Waterfall Methodology

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    M

    Microsoft

    Develop an ASP.NET Core web app that consumes an API

    Skills you'll gain: ASP.NET, .NET Framework, C# (Programming Language), Microsoft Visual Studio, Application Programming Interface (API), Restful API, Microsoft Azure, Web Applications, Development Environment, Server Side, Middleware

    2.6
    Rating, 2.6 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Program Managers

    Skills you'll gain: Agile Software Development, Project Management Software, Program Management, Responsible AI, Planning, Engineering Management, Generative AI, Timelines, Engineering Software, Risk Analysis, Resource Management, Prompt Engineering, Analytics, Stakeholder Communications, Machine Learning, Natural Language Processing

    4.8
    Rating, 4.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Python: Logistic Regression & Supervised ML

    Skills you'll gain: Feature Engineering, Supervised Learning, Exploratory Data Analysis, Machine Learning Algorithms, Applied Machine Learning, Decision Tree Learning, Predictive Modeling, Data Analysis, Scikit Learn (Machine Learning Library), Machine Learning, Classification And Regression Tree (CART), Statistical Modeling, Pandas (Python Package), NumPy, Data Cleansing, Data Manipulation

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Mathematical Foundations for Cryptography

    Skills you'll gain: Cryptography, Arithmetic, Algorithms, Applied Mathematics, Probability, Computer Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    331 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    컨볼루션 신경망

    Skills you'll gain: Computer Vision, Image Analysis, Keras (Neural Network Library), Artificial Neural Networks, Tensorflow, Deep Learning, Artificial Intelligence and Machine Learning (AI/ML), Applied Machine Learning, Algorithms, Data Processing

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    Certified Six Sigma Yellow Belt Training

    Skills you'll gain: Minitab, Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Statistical Process Controls, Data-Driven Decision-Making, Process Improvement, Waste Minimization, Project Management, Continuous Improvement Process, Brainstorming, Process Mapping, Quality Assessment, Customer Insights, Sampling (Statistics), Data Collection

    Beginner · Course · 3 - 6 Months

  • C

    Coursera

    Classify Radio Signals with PyTorch

    Skills you'll gain: PyTorch (Machine Learning Library), Image Analysis, Machine Learning Methods, Digital Communications, Deep Learning, Artificial Neural Networks, Computer Vision, Telecommunications

    3.7
    Rating, 3.7 out of 5 stars
    ·
    12 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    D

    DeepLearning.AI

    Réseaux neuronaux et Deep Learning

    Skills you'll gain: Deep Learning, Supervised Learning, Artificial Neural Networks, Artificial Intelligence, Computer Vision, Machine Learning, Performance Tuning, Machine Learning Algorithms, Python Programming, NumPy, Linear Algebra, Algorithms

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    J

    Johns Hopkins University

    Random Processes

    Skills you'll gain: Probability & Statistics, Probability Distribution, Simulations, Statistical Modeling, Estimation, Correlation Analysis, Engineering Analysis, Statistical Analysis, Reliability, Engineering, Spatial Analysis

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    L

    LearnQuest

    Neural Networks and Random Forests

    Skills you'll gain: Random Forest Algorithm, Keras (Neural Network Library), Classification And Regression Tree (CART), Tensorflow, Deep Learning, Artificial Neural Networks, Predictive Modeling, Scikit Learn (Machine Learning Library), Supervised Learning, Machine Learning, Regression Analysis, Python Programming

    2.9
    Rating, 2.9 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Advanced Methods in Machine Learning Applications

    Skills you'll gain: Unsupervised Learning, Applied Machine Learning, Dimensionality Reduction, Reinforcement Learning, Regression Analysis, Machine Learning, Data Mining, Machine Learning Algorithms, Statistical Machine Learning, Advanced Analytics, Predictive Modeling, Random Forest Algorithm, Decision Tree Learning, Supervised Learning

    Intermediate · Course · 1 - 3 Months

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

  • Financial Analytics in RStudio: Identify Profit Drivers: Coursera
  • Develop an ASP.NET Core web app that consumes an API: Microsoft
  • GenAI for Program Managers: Coursera
  • Python: Logistic Regression & Supervised ML: EDUCBA
  • Mathematical Foundations for Cryptography: University of Colorado System
  • 컨볼루션 신경망: DeepLearning.AI
  • Certified Six Sigma Yellow Belt Training: Packt
  • Classify Radio Signals with PyTorch: Coursera
  • Réseaux neuronaux et Deep Learning: DeepLearning.AI
  • Random Processes: Johns Hopkins University

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