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    Results for "programming foundations"

    • Status: New
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      N

      Northeastern University

      Foundations for Data Analytics Part 2

      Skills you'll gain: Time Series Analysis and Forecasting, Correlation Analysis, Text Mining, Probability Distribution, Data Analysis, Network Analysis, Feature Engineering, Probability, Data Structures, Statistics, Data Visualization, Data Processing, Data Cleansing, Natural Language Processing

      Beginner · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      I

      IBM

      Introduction to Data Science

      Skills you'll gain: SQL, Jupyter, Data Literacy, Data Mining, Peer Review, Data Modeling, Relational Databases, Stored Procedure, Databases, Data Science, Big Data, Computer Programming Tools, Query Languages, Data Cleansing, Data Visualization Software, GitHub, Business Analysis, R (Software), Cloud Computing, Python Programming

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      100K reviews

      Beginner · Specialization · 3 - 6 Months

    • Status: New
      New
      Status: Free Trial
      Free Trial
      D

      DeepLearning.AI

      Data Analytics Foundations

      Skills you'll gain: Data Storytelling, Google Sheets, Data Visualization, Spreadsheet Software, Large Language Modeling, Data Literacy, Data Visualization Software, Business Analysis, Requirements Analysis, Data Analysis, Analytics, Exploratory Data Analysis, Data-Driven Decision-Making, Trend Analysis

      4.8
      Rating, 4.8 out of 5 stars
      ·
      141 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      D

      Duke University

      Machine Learning Foundations for Product Managers

      Skills you'll gain: Deep Learning, Unsupervised Learning, Classification And Regression Tree (CART), Machine Learning, Regression Analysis, Artificial Intelligence and Machine Learning (AI/ML), Artificial Neural Networks, Decision Tree Learning, Computer Vision, Supervised Learning, Natural Language Processing, Random Forest Algorithm, Data Science, Predictive Analytics, Algorithms, Performance Metric

      4.7
      Rating, 4.7 out of 5 stars
      ·
      626 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: New
      New
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      L

      LearnQuest

      Foundations of No-Code AI for Real-World Applications

      Skills you'll gain: Data Ethics, No-Code Development, Data Cleansing, Artificial Intelligence, Data Processing, Business Solutions, Machine Learning, Business Metrics, Data Storytelling, Usability, User Experience Design, Application Design, Generative AI, Business Analytics, Application Deployment, Scalability, Data Validation, Dashboard, Compliance Management, Automation

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Washington

      Machine Learning Foundations: A Case Study Approach

      Skills you'll gain: Applied Machine Learning, Feature Engineering, Regression Analysis, Machine Learning, Image Analysis, Supervised Learning, Artificial Intelligence, Deep Learning, Classification And Regression Tree (CART), Computer Vision, Predictive Modeling, Natural Language Processing, Text Mining, Python Programming, Data Mining

      4.6
      Rating, 4.6 out of 5 stars
      ·
      14K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      P

      Packt

      Foundations of Data Science and Machine Learning with Python

      Skills you'll gain: Pandas (Python Package), Matplotlib, NumPy, Data Visualization, Machine Learning Algorithms, Data Manipulation, Linear Algebra, Seaborn, Natural Language Processing, Deep Learning, Machine Learning, Python Programming, Data Science, Supervised Learning, Artificial Neural Networks, Regression Analysis, Data Structures

      Intermediate · Course · 1 - 3 Months

    • Status: Free Trial
      Free Trial
      E

      Edureka

      Python and Statistics Foundations

      Skills you'll gain: Matplotlib, Data Visualization, Probability & Statistics, Plotly, Statistical Analysis, Data Visualization Software, Statistical Hypothesis Testing, Data Manipulation, Seaborn, Data Science, Programming Principles, Pandas (Python Package), Statistics, Descriptive Statistics, Data Analysis, NumPy, Probability Distribution, Exploratory Data Analysis, Python Programming

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Introduction to Data Science in Python

      Skills you'll gain: Pandas (Python Package), Jupyter, NumPy, Data Manipulation, Data Science, Data Analysis, Statistical Analysis, Pivot Tables And Charts, Data Cleansing, Data Import/Export, Probability & Statistics, Python Programming, Programming Principles

      4.5
      Rating, 4.5 out of 5 stars
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      27K reviews

      Intermediate · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      U

      University of Michigan

      Foundations of Sports Analytics: Data, Representation, and Models in Sports

      Skills you'll gain: Statistical Methods, Regression Analysis, Data Cleansing, Statistical Hypothesis Testing, Correlation Analysis, Matplotlib, Data Manipulation, Data Visualization, Statistical Analysis, Scatter Plots, Probability & Statistics, R Programming, Data Analysis, Descriptive Statistics, Pandas (Python Package), Python Programming

      4.4
      Rating, 4.4 out of 5 stars
      ·
      196 reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Preview
      Preview
      U

      University of Cape Town

      Julia Scientific Programming

      Skills you'll gain: Jupyter, Statistical Analysis, Data Visualization, Plot (Graphics), Scientific Visualization, Exploratory Data Analysis, Data Manipulation, Data Science, Other Programming Languages, Statistical Hypothesis Testing, Computer Programming, Mathematical Modeling, Package and Software Management

      4.4
      Rating, 4.4 out of 5 stars
      ·
      434 reviews

      Beginner · Course · 1 - 4 Weeks

    • Status: Free Trial
      Free Trial
      J

      Johns Hopkins University

      Foundations of Probability and Random Variables

      Skills you'll gain: R Programming, Statistical Analysis, Combinatorics, Data Analysis, Probability, Statistics, Probability Distribution, Probability & Statistics, Bayesian Statistics, Applied Mathematics, Data Science, Artificial Intelligence and Machine Learning (AI/ML), Simulations

      Intermediate · Course · 1 - 3 Months

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    1…567…86

    In summary, here are 10 of our most popular programming foundations courses

    • Foundations for Data Analytics Part 2: Northeastern University
    • Introduction to Data Science: IBM
    • Data Analytics Foundations: DeepLearning.AI
    • Machine Learning Foundations for Product Managers: Duke University
    • Foundations of No-Code AI for Real-World Applications: LearnQuest
    • Machine Learning Foundations: A Case Study Approach: University of Washington
    • Foundations of Data Science and Machine Learning with Python: Packt
    • Python and Statistics Foundations: Edureka
    • Introduction to Data Science in Python: University of Michigan
    • Foundations of Sports Analytics: Data, Representation, and Models in Sports: University of Michigan

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