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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


  • W

    Whizlabs

    Google Cloud SQL: Design, Deploy & Optimize Databases

    Skills you'll gain: Database Administration, Database Management, Relational Databases, SQL, Google Cloud Platform, Operational Databases, Database Design, Database Architecture and Administration, MySQL, Database Management Systems, System Configuration, Data Migration, Cloud Deployment, Database Software, Network Administration, Data Maintenance, Security Controls, Data Import/Export, Data Storage, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Build Insight Dashboards

    Skills you'll gain: Dashboard, Dashboard Creation, User Feedback, Data Presentation, Data Storytelling, Data Visualization, Organizational Skills, Usability Testing, Data-Driven Decision-Making, Team Performance Management, Constructive Feedback, Project Performance, Prioritization, Project Scoping, Jira (Software), Stakeholder Management

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • B

    Board Infinity

    Deploying AI Agents: LLMs, LangGraph, and Production APIs

    Skills you'll gain: LangGraph, AI Workflows, AI Orchestration, LLM Application, LangChain, CrewAI, Large Language Modeling, Agentic Workflows, Agentic systems, Application Deployment, Artificial Intelligence and Machine Learning (AI/ML), Context Management, Vector Databases, Memory Management, Performance Testing, Data Validation

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google

    Design Prompts for Everyday Work Tasks

    Skills you'll gain: Prompt Engineering, Context Engineering, AI literacy, Brainstorming, AI powered creativity, Email Automation, Ideation, Timelines, AI Enablement, LLM Application, Taking Meeting Minutes, Concision, Business Writing

    ★ 4.8 (1.2K) · Beginner · Course · 1 - 4 Weeks

  • N

    New York University

    Guided Tour of Machine Learning in Finance

    Skills you'll gain: Supervised Learning, Machine Learning Methods, Model Evaluation, Applied Machine Learning, Statistical Machine Learning, Machine Learning, Statistical Methods, Artificial Neural Networks, Statistical Modeling, Predictive Modeling, Model Training, Scikit Learn (Machine Learning Library), Regression Analysis, Deep Learning, Tensorflow, Logistic Regression, Jupyter, Reinforcement Learning

    ★ 3.8 (681) · Intermediate · Course · 1 - 4 Weeks

  • U

    University of Alberta

    Fundamentals of Reinforcement Learning

    Skills you'll gain: Reinforcement Learning, Machine Learning, Machine Learning Algorithms, Artificial Intelligence, Agentic systems, Markov Model, Decision Intelligence, Algorithms

    ★ 4.8 (2.9K) · Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Google Analytics 4: Smart Rules for Beginners and Analysts

    Skills you'll gain: Google Analytics, Analytical Skills, Web Analytics, Analysis, Marketing Analytics, Data-Driven Decision-Making, Analytics, Data Analysis, Driving engagement, Event Monitoring, Data Collection, Customer Insights, Customer Acquisition Management

    Beginner · Course · 3 - 6 Months

  • G

    Google

    Hello, Python!

    Skills you'll gain: Package and Software Management, Data Science, Exploratory Data Analysis, Computer Programming, Mathematical Software

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

  • C

    Coursera

    Gradient to Production: MLOps & Model Serving

    Skills you'll gain: Model Evaluation, MLOps (Machine Learning Operations), Regression Testing, Kubernetes, Docker (Software), Feature Engineering, Containerization, Software Documentation, Data Pipelines, Git (Version Control System), Apache Airflow, Technical Documentation, Microservices, CI/CD, Unit Testing, API Design, Performance Metric, Python Programming, Version Control, Verification And Validation

    Intermediate · Specialization · 3 - 6 Months

  • C

    Columbia University

    Causal Inference

    Skills you'll gain: Statistical Inference, Regression Analysis, Applied Machine Learning, Statistical Methods, Statistical Machine Learning, Statistical Analysis, Statistical Hypothesis Testing, Statistical Modeling, Machine Learning, Experimentation, Data Collection, Probability & Statistics, Research Design

    ★ 3.3 (107) · Advanced · Course · 1 - 3 Months

  • P

    Pragmatic AI Labs

    Prompt Architecture and NLP on Amazon Bedrock

    Skills you'll gain: Prompt Engineering, Prompt Patterns, Amazon Bedrock, Token Optimization, Prompt Engineering Tools, Rust (Programming Language), Agentic Workflows, Process Modeling, AI Workflows, Natural Language Processing, LLM Application, Large Language Modeling, Generative AI, Data Pipelines, Command-Line Interface, Agentic systems, Version Control

    Beginner · Course · 1 - 4 Weeks

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

  • Google Cloud SQL: Design, Deploy & Optimize Databases: Whizlabs
  • Build Insight Dashboards : Coursera
  • Tokens to Deployment: NLP, Language Models, & Production API: Coursera
  • Deploying AI Agents: LLMs, LangGraph, and Production APIs: Board Infinity
  • Design Prompts for Everyday Work Tasks: Google
  • Guided Tour of Machine Learning in Finance: New York University
  • Fundamentals of Reinforcement Learning: University of Alberta
  • Google Analytics 4: Smart Rules for Beginners and Analysts: Packt
  • Hello, Python!: Google
  • Gradient to Production: MLOps & Model Serving: Coursera

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