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  • Workflow Of Data Science Projects

Results for "workflow of data science projects"


  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    R

    Rice University

    Linear Regression for Business Statistics

    Skills you'll gain: Statistical Hypothesis Testing, Statistical Methods, Regression Analysis, Statistical Analysis, Statistical Modeling, Statistical Inference, Business Analytics, Microsoft Excel, Model Evaluation, Estimation, Data Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    1.4K reviews

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California, Davis

    Social Network Analysis

    Skills you'll gain: Social Network Analysis, Network Analysis, Data Wrangling, Social Sciences, Graph Theory, Statistical Visualization, Data Manipulation, Data Visualization, Data Analysis, Predictive Analytics, Simulations

    4.7
    Rating, 4.7 out of 5 stars
    ·
    241 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Inferential Statistical Analysis with Python

    Skills you'll gain: Statistical Inference, Data-Driven Decision-Making, Statistical Hypothesis Testing, Bayesian Statistics, Probability & Statistics, Statistical Analysis, Quantitative Research, Data Analysis, Sampling (Statistics), Jupyter, Pandas (Python Package), Python Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    933 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Investments II: Lessons and Applications for Investors

    Skills you'll gain: Investments, Portfolio Management, Finance, Return On Investment, Behavioral Economics, Equities, Financial Market, Asset Management, Portfolio Risk, Performance Analysis, Income Tax, Decision Making, Benchmarking

    Build toward a degree

    4.8
    Rating, 4.8 out of 5 stars
    ·
    883 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    G

    Genentech

    Hands On Clinical Reporting Using R

    Skills you'll gain: Clinical Data Management, Clinical Trials, Interactive Data Visualization, Drug Development, Data Presentation, R (Software), Pharmaceuticals, Shiny (R Package), Data Visualization, Statistical Reporting, Data Modeling, R Programming, Technical Communication, Data Manipulation, Statistical Programming, Data Import/Export, Data Transformation, Data Science

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    Meta

    Meta Full Stack Developer: Front-End & Back-End from Scratch

    Skills you'll gain: Jest (JavaScript Testing Framework), Version Control, Restful API, Responsive Web Design, Cascading Style Sheets (CSS), Unix Commands, HTML and CSS, Git (Version Control System), API Testing, GitHub, Relational Databases, Object Oriented Programming (OOP), Database Management Systems, Bootstrap (Front-End Framework), Django (Web Framework), React.js, Mobile Development, SQL, Database Design, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    Duke University

    DevOps, DataOps, MLOps

    Skills you'll gain: MLOps (Machine Learning Operations), Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), PyTorch (Machine Learning Library), Containerization, Tensorflow, Rust (Programming Language), Microsoft Copilot, DevOps, Hugging Face, Applied Machine Learning, Cloud Solutions, CI/CD, Machine Learning, Serverless Computing, Docker (Software), GitHub, Big Data

    4.2
    Rating, 4.2 out of 5 stars
    ·
    212 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    S

    Stanford University

    Probabilistic Graphical Models 2: Inference

    Skills you'll gain: Bayesian Network, Machine Learning Methods, Statistical Inference, Markov Model, Graph Theory, Sampling (Statistics), Applied Machine Learning, Statistical Methods, Probability & Statistics, Algorithms, Probability Distribution, Machine Learning Algorithms, Computational Thinking

    4.6
    Rating, 4.6 out of 5 stars
    ·
    488 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Supervised Machine Learning: Classification

    Skills you'll gain: Classification Algorithms, Supervised Learning, Model Evaluation, Data Preprocessing, Logistic Regression, Decision Tree Learning, Statistical Machine Learning, Predictive Modeling, Scikit Learn (Machine Learning Library), Data Cleansing, Machine Learning, Data Manipulation, Feature Engineering, Random Forest Algorithm

    4.8
    Rating, 4.8 out of 5 stars
    ·
    451 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Apache Kafka, Database Design, Linux Commands, Data Warehousing, Bash (Scripting Language), Data Engineering, Database Administration, Data Pipelines, SQL, Database Management, Extract, Transform, Load, Apache Airflow, Database Architecture and Administration, Shell Script, IBM DB2, Data Store, Relational Databases, Jupyter, Generative AI, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Generative AI: Fundamentals, Applications, and Challenges

    Skills you'll gain: Generative AI, Responsible AI, Data Ethics, AI Product Strategy, Artificial Intelligence, Social Impact, Governance, Data Security, Leadership and Management, Model Evaluation, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    192 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Machine Learning with Apache Spark: IBM
  • Linear Regression for Business Statistics: Rice University
  • Social Network Analysis: University of California, Davis
  • Inferential Statistical Analysis with Python: University of Michigan
  • Investments II: Lessons and Applications for Investors: University of Illinois Urbana-Champaign
  • Hands On Clinical Reporting Using R: Genentech
  • Meta Full Stack Developer: Front-End & Back-End from Scratch: Meta
  • DevOps, DataOps, MLOps: Duke University
  • Probabilistic Graphical Models 2: Inference: Stanford University
  • Supervised Machine Learning: Classification: IBM

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