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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


  • J

    John Wiley & Sons

    Generative AI for Trading and Asset Management

    Skills you'll gain: Generative AI, Generative Adversarial Networks (GANs), Generative Model Architectures, Large Language Modeling, Financial Trading, Applied Machine Learning, Financial Market, Asset Management, Machine Learning Methods, Autoencoders, LLM Application, Machine Learning, Model Optimization, Deep Learning, Dimensionality Reduction, AI Workflows, Artificial Intelligence, Unsupervised Learning, Financial Analysis, Risk Management

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Vector Databases for Machine Learning: A Comprehensive Guide

    Skills you'll gain: Vector Databases, Retrieval-Augmented Generation, Embeddings, Performance Tuning, Applied Machine Learning, LangChain, Document Management, Docker (Software), Agentic systems, Generative AI, Generative Model Architectures, Model Deployment, LLM Application, Technical Communication, Multimodal Prompts, Search Engine Optimization, Metadata Management, Data Pipelines, Machine Learning, Data Migration

    Intermediate · Specialization · 3 - 6 Months

  • D

    Duke University

    Inferential Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Inference, Statistical Reporting, R (Software), Statistical Methods, Statistics, R Programming, Statistical Software, Statistical Analysis, Probability & Statistics, Statistical Programming, Data Analysis, Sampling (Statistics), Probability Distribution, Software Installation

    ★ 4.8 (2.8K) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Tag Links with UTMs

    Skills you'll gain: Campaign Management, Return On Investment, Data-Driven Decision-Making, Digital Marketing Tools

    Beginner · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    Generative Adversarial Networks (GANs)

    Skills you'll gain: Generative Adversarial Networks (GANs), Generative AI, Generative Model Architectures, PyTorch (Machine Learning Library), Image Analysis, Convolutional Neural Networks, Deep Learning, Model Training, Model Evaluation, Responsible AI, Data Ethics, Machine Learning, Image Quality, Information Privacy, Data Synthesis

    ★ 4.7 (2.4K) · Intermediate · Specialization · 1 - 3 Months

  • C

    Coursera

    Pixels, Waveforms & Words: Engineering Multimodal AI Systems

    Skills you'll gain: Model Optimization, Image Analysis, Transfer Learning, Fine-tuning, Multimodal Prompts, Model Evaluation, Technical Documentation, Data Preprocessing, Debugging, Computer Vision, PyTorch (Machine Learning Library), Feature Engineering, Tensorflow, Model Training, Embeddings, Systems Design, Ethical Standards And Conduct, Large Language Modeling, Root Cause Analysis, Deep Learning

    Intermediate · Specialization · 3 - 6 Months

  • C

    Coursera

    Tokens to Deployment: NLP, Language Models, & Production API

    Skills you'll gain: OAuth, Unit Testing, Apache Airflow, Fine-tuning, Model Evaluation, Data Validation, API Design, Test Driven Development (TDD), Data Integrity, Extract, Transform, Load, Multimodal Prompts, Natural Language Processing, MLOps (Machine Learning Operations), OpenAI API, Data Presentation, Hugging Face, Token Optimization, LLM Application, CI/CD, Tensorflow

    Intermediate · Specialization · 3 - 6 Months

  • I

    IBM

    Deep Learning with Keras and Tensorflow

    Skills you'll gain: Keras (Neural Network Library), Convolutional Neural Networks, Reinforcement Learning, Deep Learning, Model Optimization, Autoencoders, Generative AI, Unsupervised Learning, Tensorflow, Generative Adversarial Networks (GANs), Generative Model Architectures, Transfer Learning, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Training, Time Series Analysis and Forecasting

    ★ 4.4 (1K) · Intermediate · Course · 1 - 3 Months

  • E

    EDUCBA

    HR Dashboards and Analytics in Excel

    Skills you'll gain: People Analytics, Microsoft Excel, Human Resource Strategy, Excel Formulas, Dashboard, Human Resources, Payroll Systems, Payroll, Workforce Planning, Performance Reporting, Payroll Processing, Spreadsheet Software, Employee Engagement, Workforce Management, Compensation Analysis, Performance Analysis, Employee Retention, Data Visualization, Data-Driven Decision-Making

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    TensorFlow: Advanced Techniques

    Skills you'll gain: Generative Adversarial Networks (GANs), Autoencoders, Generative AI, Tensorflow, Computer Vision, Image Analysis, Transfer Learning, Convolutional Neural Networks, Generative Model Architectures, Fine-tuning, Deep Learning, Keras (Neural Network Library), Model Training, Model Optimization, Applied Machine Learning, Artificial Neural Networks, Classification Algorithms, Model Evaluation, Distributed Computing, Visualization (Computer Graphics)

    ★ 4.8 (1.7K) · Intermediate · 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

  • G

    Google

    AI for Brainstorming and Planning

    Skills you'll gain: AI Enablement, AI literacy, Product Planning, AI Workflows, Google Gemini, Generative AI, Artificial Intelligence, AI Personalization, Google Workspace, Responsible AI

    ★ 4.8 (500) · Beginner · Course · 1 - 4 Weeks

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

  • Generative AI for Trading and Asset Management: John Wiley & Sons
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Inferential Statistics: Duke University
  • Tag Links with UTMs: Coursera
  • Generative Adversarial Networks (GANs): DeepLearning.AI
  • Pixels, Waveforms & Words: Engineering Multimodal AI Systems: Coursera
  • Tokens to Deployment: NLP, Language Models, & Production API: Coursera
  • Deep Learning with Keras and Tensorflow: IBM
  • HR Dashboards and Analytics in Excel: EDUCBA
  • TensorFlow: Advanced Techniques: DeepLearning.AI

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