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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


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    Coursera

    Advanced Branding in Canva

    Skills you'll gain: Canva (Software), Logo Design, Branding, Brand Strategy, Style Guides, Typography, Brand Management, Creative Design, Marketing Design, Graphic Design, Color Theory, Graphic and Visual Design, Digital Design, Governance, Asset Management, Layout Design, Scalability

    Beginner · Course · 1 - 4 Weeks

  • Status: New
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    Dartmouth College

    Machine Learning Fundamentals

    Skills you'll gain: Supervised Learning, Predictive Modeling, Logistic Regression, Statistical Modeling, Model Evaluation, Machine Learning, Machine Learning Algorithms, Classification Algorithms, Regression Analysis, Probability & Statistics, Linear Algebra

    Build toward a degree

    Intermediate · Course · 1 - 3 Months

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    Rice University

    Algorithmic Thinking (Part 2)

    Skills you'll gain: Computational Thinking, Algorithms, Theoretical Computer Science, Bioinformatics, Data Structures, Big Data, Python Programming, Data Analysis, Machine Learning Algorithms, Unsupervised Learning, Analysis

    4.7
    Rating, 4.7 out of 5 stars
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    219 reviews

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Intermediate Backend Development with FastAPI

    Skills you'll gain: Authentications, OAuth, Back-End Web Development, Event-Driven Programming, Database Management, Databases, Authorization (Computing), Redis, Secure Coding, Application Programming Interface (API), Restful API, Email Automation, Data Migration

    Intermediate · Course · 3 - 6 Months

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    Northeastern University

    Agile Software Development Part 2

    Skills you'll gain: Agile Software Development, Agile Methodology, Scaled Agile Framework, Agile Project Management, Conflict Management, Leadership, Sprint Planning, Scrum (Software Development), Project Planning, Team Building, Software Development Life Cycle, Prioritization, Backlogs, Sprint Retrospectives, Kanban Principles, User Story, Lean Methodologies, Communication, Continuous Improvement Process

    Mixed · Course · 1 - 3 Months

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    ISAE-SUPAERO

    Flight mechanics - The basis

    Skills you'll gain: Mechanics, Simulations, Engineering Calculations, Physics, Applied Mathematics, Engineering Analysis, Systems Of Measurement

    4.7
    Rating, 4.7 out of 5 stars
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    489 reviews

    Beginner · Course · 1 - 4 Weeks

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    Pearson

    Quick Start Guide to Large Language Models (LLMs): Unit 2

    Skills you'll gain: Prompt Engineering, LLM Application, OpenAI API, Large Language Modeling, Embeddings, Responsible AI, AI Personalization, Cost Management, Artificial Intelligence, AI Enablement, Model Evaluation

    Intermediate · Course · 1 - 4 Weeks

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    Packt

    Python for Google App Engine

    Skills you'll gain: Google App Engine, Cloud Applications, Restful API, Google Cloud Platform, Cloud Computing Architecture, OAuth, Cloud Computing, Cloud Services, Application Deployment, Platform As A Service (PaaS), Python Programming, Cloud Storage, Application Performance Management, Authentications, Web Applications, Data Store, MySQL, Scalability

    Beginner · Course · 1 - 3 Months

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    EDUCBA

    Octave Programming: Analyze, Apply & Implement

    Skills you'll gain: Plot (Graphics), Scripting, Scientific Visualization, Visualization (Computer Graphics), Graphing, Programming Principles, Debugging, Matlab, Computational Thinking, Numerical Analysis, Data Manipulation, Linear Algebra

    Mixed · Course · 1 - 4 Weeks

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    Packt

    Essential Guide to LLMOps

    Skills you'll gain: LLM Application, MLOps (Machine Learning Operations), Large Language Modeling, Data Processing, Model Deployment, AI Workflows, Prompt Engineering, Responsible AI, Generative AI, Scalability, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Data Transformation, Continuous Monitoring, Feature Engineering, Natural Language Processing, Artificial Intelligence, Data Collection

    Advanced · Course · 1 - 3 Months

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    Stanford University

    Understanding Einstein: The Special Theory of Relativity

    Skills you'll gain: Physics, Timelines, Verification And Validation, Scientific Methods, Research, Experimentation, Mathematical Modeling, Systems Of Measurement

    4.9
    Rating, 4.9 out of 5 stars
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    3.2K reviews

    Beginner · Course · 1 - 3 Months

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    Northeastern University

    Statistical Learning for Engineering Part 2

    Skills you'll gain: PyTorch (Machine Learning Library), Unsupervised Learning, Reinforcement Learning, Supervised Learning, Dimensionality Reduction, Statistical Machine Learning, Machine Learning, Machine Learning Software, Convolutional Neural Networks, Artificial Neural Networks, Artificial Intelligence and Machine Learning (AI/ML), Deep Learning, Transfer Learning, Decision Tree Learning, Classification Algorithms, Random Forest Algorithm, Autoencoders, Predictive Modeling, Feature Engineering

    Intermediate · Course · 1 - 3 Months

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1…308309310…834

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

  • Advanced Branding in Canva: Coursera
  • Machine Learning Fundamentals: Dartmouth College
  • Algorithmic Thinking (Part 2): Rice University
  • Intermediate Backend Development with FastAPI: Packt
  • Agile Software Development Part 2: Northeastern University
  • Flight mechanics - The basis: ISAE-SUPAERO
  • Quick Start Guide to Large Language Models (LLMs): Unit 2: Pearson
  • Python for Google App Engine: Packt
  • Octave Programming: Analyze, Apply & Implement: EDUCBA
  • Essential Guide to LLMOps: Packt

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