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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


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    U

    Universidad Nacional Autónoma de México

    Estadística y probabilidad: principios de Inferencia

    Skills you'll gain: Statistical Inference, Statistical Hypothesis Testing, Probability Distribution, Sampling (Statistics), Probability & Statistics, Probability, Statistics, Statistical Analysis, Descriptive Statistics

    3.1
    Rating, 3.1 out of 5 stars
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    16 reviews

    Beginner · Course · 1 - 4 Weeks

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    J

    Johns Hopkins University

    R 프로그래밍

    Skills you'll gain: R Programming, Statistical Programming, Statistical Analysis, Data Analysis Software, Debugging, Software Installation, Simulations, Integrated Development Environments, Programming Principles, Data Manipulation, Program Development, Data Import/Export, Performance Tuning

    Intermediate · Course · 1 - 4 Weeks

  • G

    Google Cloud

    Datastore: Qwik Start

    Skills you'll gain: Google Cloud Platform, Data Store, Cloud Storage, Data Storage, Data Access, Data Management

    Beginner · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    P

    Packt

    Prompt Engineering in Python, with GPT, and the OpenAI API

    Skills you'll gain: Multimodal Prompts, ChatGPT, OpenAI, JSON, Large Language Modeling, Python Programming, Text Mining, Data Validation, Unstructured Data, Data Analysis

    Intermediate · Course · 1 - 3 Months

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    C

    Case Western Reserve University

    Basic Principles of Geostatistical Geospatial Modeling

    Skills you'll gain: Geostatistics, Exploratory Data Analysis, Spatial Data Analysis, Spatial Analysis, Geospatial Information and Technology, Statistical Methods, Statistical Modeling, R Programming, Statistical Analysis, R (Software), Probability & Statistics, Descriptive Statistics, Data Analysis, Correlation Analysis, Data Validation, Simulations, Histogram, Box Plots, Simulation and Simulation Software

    Beginner · Course · 1 - 3 Months

  • P

    Packt

    The Simplest Guide™ to Base SAS & Advanced SAS

    Skills you'll gain: SAS (Software), Data Visualization, Data Manipulation, Data Analysis, Data Import/Export, Data Visualization Software, SQL, Statistical Analysis, Data Cleansing, Data Transformation, Exploratory Data Analysis

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Harnessing LLMs & Text-Embeddings API with Google Vertex AI

    Skills you'll gain: LLM Application, Large Language Modeling, Google Cloud Platform, Cloud API, Prompt Engineering, Application Programming Interface (API), Unsupervised Learning, Interactive Data Visualization, Natural Language Processing, Applied Machine Learning, Data Processing, Scalability

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    SAS

    Building a Large-Scale, Automated Forecasting System

    Skills you'll gain: SAS (Software), Forecasting, Time Series Analysis and Forecasting, Statistical Methods, Predictive Modeling, Automation, Anomaly Detection, Data Processing, Data Transformation, Object Oriented Programming (OOP)

    Intermediate · Course · 1 - 3 Months

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    P

    Packt

    Introduction to NLP and Syntactic Processing

    Skills you'll gain: Natural Language Processing, Text Mining, Data Processing, Data Manipulation, Unstructured Data, Markov Model, Python Programming, Machine Learning Methods, Algorithms, Probability & Statistics

    Intermediate · Course · 1 - 3 Months

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    U

    University of Washington

    머신 러닝: 회귀 모델

    Skills you'll gain: Regression Analysis, Supervised Learning, Predictive Modeling, Statistical Modeling, Statistical Methods, Machine Learning, Applied Machine Learning, Feature Engineering, Exploratory Data Analysis, Python Programming, Linear Algebra, Algorithms, Data Visualization

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Interactive Data Visualization, LLM Application, Text Mining, Document Management, Data Processing, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: New
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    E

    Edureka

    Natural Language Processing Essentials

    Skills you'll gain: Artificial Intelligence, Scikit Learn (Machine Learning Library)

    Beginner · Course · 1 - 4 Weeks

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

  • Estadística y probabilidad: principios de Inferencia: Universidad Nacional Autónoma de México
  • R 프로그래밍: Johns Hopkins University
  • Datastore: Qwik Start: Google Cloud
  • Prompt Engineering in Python, with GPT, and the OpenAI API: Packt
  • Basic Principles of Geostatistical Geospatial Modeling: Case Western Reserve University
  • The Simplest Guide™ to Base SAS & Advanced SAS: Packt
  • Harnessing LLMs & Text-Embeddings API with Google Vertex AI: Packt
  • Building a Large-Scale, Automated Forecasting System: SAS
  • Introduction to NLP and Syntactic Processing: Packt
  • 머신 러닝: 회귀 모델: University of Washington

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