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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


  • E

    EDUCBA

    Excel Simulation & Forecasting Techniques

    Skills you'll gain: Microsoft Excel, Forecasting, Excel Formulas, Simulation and Simulation Software, Financial Forecasting, Simulations, Excel Macros, Business Analysis, Statistical Modeling, Pivot Tables And Charts, Spreadsheet Software, Data-Driven Decision-Making, Risk Analysis, Financial Modeling, Analysis, Risk Modeling, Data Analysis, Interactive Data Visualization, Data Validation, Automation

    Mixed · Course · 1 - 4 Weeks

  • J

    Johns Hopkins University

    Statistical Inference

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability & Statistics, Probability, Statistics, Bayesian Statistics, Statistical Methods, Statistical Modeling, Statistical Analysis, Probability Distribution, Sampling (Statistics), Sample Size Determination, Data Analysis

    ★ 4.2 (4.5K) · Mixed · Course · 1 - 4 Weeks

  • M

    Microsoft

    Microsoft PL-300 Exam Preparation and Practice

    Skills you'll gain: Microsoft Copilot, Power BI, Data Modeling, Data Analysis Expressions (DAX), Data Visualization Software, Interactive Data Visualization, Generative AI, Data Analysis, Data Transformation, Data Maintenance, Data Management, Data Import/Export

    ★ 4.6 (682) · Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Optimize SQL Queries: Uncover Performance Bottlenecks

    Skills you'll gain: System Monitoring, Application Performance Management, Query Languages, Database Management, Data Access, Database Design, Database Management Systems

    Advanced · Course · 1 - 4 Weeks

  • S

    SAS

    Overview of Cloud Analytics with SAS and Microsoft

    Skills you'll gain: Responsible AI, Data Literacy, Decision Intelligence, Data Analysis, Data-Driven Decision-Making, Cloud Solutions, Cloud Security, Analytics, Cloud-Based Integration, Microsoft Azure, Cloud Services, Cloud Platforms, Enterprise Security, Data Integration, AI Enablement, Business Analytics, Artificial Intelligence, SAS (Software)

    Beginner · Course · 1 - 4 Weeks

  • E

    EDUCBA

    Financial Analysis & Reporting

    Skills you'll gain: Financial Statements, Financial Statement Analysis, Working Capital, Financial Analysis, International Financial Reporting Standards, Management Accounting, Budgeting, Financial Reporting, Cost Accounting, Financial Acumen, Operating Budget, Balance Sheet, Fund Accounting, Cost Control, Asset Management, Market Liquidity, Banking, Accounting Systems, Accounting Software, Finance

    Beginner · Specialization · 3 - 6 Months

  • I

    IBM

    IBM DevOps and Software Engineering

    Skills you'll gain: User Story, Cloud Deployment, CI/CD, Software Development Life Cycle, Open Web Application Security Project (OWASP), Continuous Integration, Istio, Linux Commands, Software Architecture, Test Driven Development (TDD), Cloud Computing Architecture, Application Deployment, Devops Tools, Restful API, Git (Version Control System), DevOps, Grafana, Software Engineering, Python Programming, Application Development

    ★ 4.6 (65K) · Beginner · Professional Certificate · 3 - 6 Months

  • I

    IBM

    Key Technologies for Business

    Skills you'll gain: Cloud Computing Architecture, Cloud Services, Cloud Deployment, Responsible AI, Cloud Security, Cloud Technologies, Data Literacy, Cloud Infrastructure, Data Mining, Cloud Platforms, Cloud Engineering, Cloud Computing, Generative AI, Generative Model Architectures, Data Processing, Big Data, LLM Application, AI literacy, Data Science, Business

    ★ 4.7 (107K) · Beginner · Specialization · 3 - 6 Months

  • G

    Google Cloud

    Machine Learning in the Enterprise

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Model Training, Google Cloud Platform, AI Workflows, Data Management, Data Governance, Machine Learning Methods, Machine Learning Software, Model Optimization, Workflow Management, Data Store, Tensorflow, Data Preprocessing, Applied Machine Learning, Data Pipelines, Machine Learning, Predictive Modeling, Cloud Computing

    ★ 4.6 (1.5K) · Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    Advanced Machine Learning on Google Cloud

    Skills you'll gain: Model Deployment, Model Optimization, Convolutional Neural Networks, Google Cloud Platform, Natural Language Processing, Tensorflow, MLOps (Machine Learning Operations), Large Language Modeling, Reinforcement Learning, Model Training, Transfer Learning, Computer Vision, Keras (Neural Network Library), Systems Design, Applied Machine Learning, Image Analysis, AI Personalization, Cloud Deployment, Recurrent Neural Networks (RNNs), Machine Learning

    ★ 4.5 (1.5K) · Advanced · Specialization · 3 - 6 Months

  • D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), GitHub Copilot, Responsible AI, Model Deployment, Containerization, Web Frameworks, Rust (Programming Language), AI Workflows, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, Cloud-Native Computing, Machine Learning, Serverless Computing, Application Deployment, GitHub, Command-Line Interface, Big Data

    ★ 4.1 (224) · Advanced · Course · 1 - 3 Months

  • A

    Amazon Web Services

    Fundamentals of Machine Learning and Artificial Intelligence

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Generative AI, Deep Learning, Artificial Intelligence, Amazon Web Services, Applied Machine Learning, AI literacy, Machine Learning, Digital Transformation

    ★ 4.6 (3.3K) · Mixed · Course · 1 - 4 Weeks

    Category: Top AI Program
    Top AI Program
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In summary, here are 10 of our most popular applied data science courses

  • Excel Simulation & Forecasting Techniques: EDUCBA
  • Statistical Inference: Johns Hopkins University
  • Microsoft PL-300 Exam Preparation and Practice: Microsoft
  • Optimize SQL Queries: Uncover Performance Bottlenecks: Coursera
  • Overview of Cloud Analytics with SAS and Microsoft: SAS
  • Financial Analysis & Reporting: EDUCBA
  • IBM DevOps and Software Engineering: IBM
  • Key Technologies for Business: IBM
  • Machine Learning in the Enterprise: Google Cloud
  • Advanced Machine Learning on Google Cloud: Google Cloud

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