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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


  • 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

  • C

    Coursera

    Training, Evaluating, and Monitoring Machine Learning Models

    Skills you'll gain: Model Evaluation, Model Training, MLOps (Machine Learning Operations), System Monitoring, Continuous Monitoring, Model Deployment, Verification And Validation, Performance Metric, A/B Testing, Statistical Methods, Failure Analysis, Statistical Hypothesis Testing, Applied Machine Learning, Statistical Analysis, Scikit Learn (Machine Learning Library), Benchmarking

    Intermediate · Course · 1 - 3 Months

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning Methods, Model Training, Statistical Machine Learning, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Model Evaluation, Data Preprocessing, Feature Engineering, Model Optimization, Statistical Analysis, Statistical Methods, Classification Algorithms, Data Presentation

    ★ 4.7 (837) · Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Build & Evaluate NLP Transformer Pipelines

    Skills you'll gain: Token Optimization, Large Language Modeling, LLM Application, Generative Model Architectures, Applied Machine Learning, Performance Metric, Quality Assessment

    Intermediate · Course · 1 - 4 Weeks

  • 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

  • L

    LearnQuest

    Developing AI Applications on Azure

    Skills you'll gain: Artificial Intelligence and Machine Learning (AI/ML), Model Training, Model Deployment, Microsoft Azure, Artificial Intelligence, Applied Machine Learning, Python Programming, Machine Learning Methods, Machine Learning, Machine Learning Algorithms, Data Science, Image Analysis, Computer Vision, Process Driven Development, Natural Language Processing, Application Programming Interface (API)

    ★ 4.4 (978) · Advanced · 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

  • 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

  • C

    Coursera

    Machine Learning Pipelines with Azure ML Studio

    Skills you'll gain: Model Deployment, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Machine Learning Software, Microsoft Azure, No-Code Development, Machine Learning, Data Preprocessing, Predictive Analytics, Model Training, Cloud Deployment, Feature Engineering, Machine Learning Algorithms, Model Evaluation, Data Science, Data Analysis, Classification Algorithms

    ★ 4.5 (831) · Beginner · Guided Project · Less Than 2 Hours

  • C

    Coursera

    Enhance Images: Quality Fixes Fast

    Skills you'll gain: Model Training, Photo Editing, Post-Production

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Databricks Machine Learning Quickstart

    Skills you'll gain: Databricks, Model Deployment, MLOps (Machine Learning Operations), Application Deployment, Model Training, Model Evaluation, Feature Engineering, Applied Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Performance Testing, AI Workflows, Machine Learning, System Monitoring, Security Controls

    Intermediate · Course · 1 - 4 Weeks

  • D

    DeepLearning.AI

    AI for Medical Prognosis

    Skills you'll gain: Classification And Regression Tree (CART), Risk Modeling, Decision Tree Learning, Predictive Modeling, Feature Engineering, Statistical Machine Learning, Applied Machine Learning, Random Forest Algorithm, Forecasting, Model Evaluation, Biostatistics, Predictive Analytics, Data Preprocessing, Data Cleansing, Statistical Modeling, Risk Analysis, Machine Learning, Statistical Methods, Statistical Analysis, Deep Learning

    ★ 4.7 (800) · Intermediate · Course · 1 - 4 Weeks

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

  • Deploying AI Agents: LLMs, LangGraph, and Production APIs: Board Infinity
  • Training, Evaluating, and Monitoring Machine Learning Models: Coursera
  • Supervised Machine Learning: Regression: IBM
  • Build & Evaluate NLP Transformer Pipelines: Coursera
  • Vector Databases for Machine Learning: A Comprehensive Guide: Coursera
  • Developing AI Applications on Azure: LearnQuest
  • Optimize SQL Queries: Uncover Performance Bottlenecks: Coursera
  • Google Analytics 4: Smart Rules for Beginners and Analysts: Packt
  • Machine Learning Pipelines with Azure ML Studio: Coursera
  • Enhance Images: Quality Fixes Fast: Coursera

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