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Results for "c programming data structures"

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    57 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Transforming Exploratory Data Analysis with AI

    Skills you'll gain: Generative AI, Responsible AI, Exploratory Data Analysis, OpenAI, Data-Driven Decision-Making, Artificial Intelligence, Pandas (Python Package), Automation, Data Processing, Data Visualization Software, Descriptive Statistics

    Intermediate · Course · 1 - 3 Months

  • G

    Google Cloud

    BigQuery Machine Learning using Soccer Data

    Skills you'll gain: Analytics, Statistical Machine Learning, Advanced Analytics, Google Cloud Platform, Big Data, Applied Machine Learning, Data Analysis, Predictive Modeling

    Intermediate · Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Linear Regression Modeling for Health Data

    Skills you'll gain: Statistical Modeling, Regression Analysis, Statistical Inference, Probability & Statistics, Correlation Analysis, Data Analysis, Statistical Analysis, Statistical Hypothesis Testing, R Programming, Predictive Modeling

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    G

    Georgia Institute of Technology

    Materials Data Sciences and Informatics

    Skills you'll gain: Materials science, Informatics, Data Science, Data Mining, Data Integration, Data-Driven Decision-Making, Data Processing, Systems Design, Engineering Analysis, Big Data, Structural Analysis, Statistics

    4.5
    Rating, 4.5 out of 5 stars
    ·
    349 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Generative AI: Elevate Your Data Science Career

    Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Responsible AI, Data Science, Data Synthesis, Data Analysis, Data Visualization Software, Natural Language Processing

    4.6
    Rating, 4.6 out of 5 stars
    ·
    237 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Assessment for Data Analysis and Visualization Foundations

    Skills you'll gain: Data Mining, Dashboard, Data Collection, Microsoft Excel, Data Quality, Data Cleansing, Data Analysis, Data Visualization Software, IBM Cognos Analytics, Exploratory Data Analysis, Pivot Tables And Charts, Data Wrangling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    312 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Coursera Instructor Network

    Applying Python for Data Analysis

    Skills you'll gain: Pandas (Python Package), Data Analysis, Data-Driven Decision-Making, Data Manipulation, Data Visualization, Business Analytics, Data Transformation, Statistics, Data Visualization Software, Statistical Analysis, Trend Analysis, Data Cleansing, Time Series Analysis and Forecasting, Data Import/Export, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Collection and Root Cause Analysis

    Skills you'll gain: Root Cause Analysis, Correlation Analysis, Regression Analysis, Statistical Methods, Statistics, Data Collection, Descriptive Statistics, Statistical Hypothesis Testing, Probability & Statistics, Statistical Analysis, Process Analysis, Lean Six Sigma, Data Analysis, Process Improvement, Statistical Inference, Analytical Skills, Pareto Chart, Performance Measurement

    4.1
    Rating, 4.1 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 2

    Skills you'll gain: A/B Testing, Sampling (Statistics), Statistical Inference, Estimation, Statistical Analysis, Analytics, Probability & Statistics, Data Analysis, Correlation Analysis, Descriptive Statistics

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    P

    Pearson

    Data Science Fundamentals Part 2: Unit 3

    Skills you'll gain: Predictive Modeling, Statistical Modeling, Predictive Analytics, Regression Analysis, Scikit Learn (Machine Learning Library), Probability & Statistics, Statistical Inference, Business Analytics, Data Analysis, Statistical Analysis, Probability Distribution, Estimation, Supervised Learning, Machine Learning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    330 reviews

    Beginner · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular c programming data structures courses

  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Transforming Exploratory Data Analysis with AI: Coursera Instructor Network
  • BigQuery Machine Learning using Soccer Data: Google Cloud
  • Linear Regression Modeling for Health Data: University of Michigan
  • Materials Data Sciences and Informatics: Georgia Institute of Technology
  • Generative AI: Elevate Your Data Science Career: IBM
  • Assessment for Data Analysis and Visualization Foundations: IBM
  • Applying Python for Data Analysis: Coursera Instructor Network
  • Data Collection and Root Cause Analysis: SkillUp
  • Data Science Fundamentals Part 2: Unit 2: Pearson

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