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    Results for "programming fundamentals"

    • U

      University of Virginia

      Financial Accounting Fundamentals

      Skills you'll gain: Financial Statements, Financial Accounting, Balance Sheet, Financial Reporting, Financial Statement Analysis, Annual Reports, Accrual Accounting, Income Statement, Financial Analysis, General Ledger, Generally Accepted Accounting Principles (GAAP), Accounting Records, Cash Flows, Revenue Recognition, Depreciation

      4.8
      Rating, 4.8 out of 5 stars
      ·
      2.8K reviews

      Beginner · Course · 1 - 3 Months

    • I
      U
      I

      Multiple educators

      Data Science Foundations

      Skills you'll gain: Dashboard, Pseudocode, Jupyter, Algorithms, Data Literacy, Data Mining, Pandas (Python Package), Data Visualization Software, Correlation Analysis, Web Scraping, NumPy, Probability & Statistics, Predictive Modeling, Big Data, Computer Programming Tools, Automation, Data Analysis Software, Data Collection, Machine Learning Algorithms, Unsupervised Learning

      4.6
      Rating, 4.6 out of 5 stars
      ·
      112K reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Data Engineering Foundations

      Skills you'll gain: Web Scraping, Database Design, SQL, MySQL, Data Transformation, Data Store, Extract, Transform, Load, IBM DB2, Relational Databases, Data Architecture, Jupyter, Data Pipelines, Big Data, Data Warehousing, Data Governance, Data Manipulation, Stored Procedure, Databases, Automation, Python Programming

      4.6
      Rating, 4.6 out of 5 stars
      ·
      56K reviews

      Beginner · Specialization · 3 - 6 Months

    • U

      University of Pennsylvania

      Fundamentals of Finance

      Skills you'll gain: Finance, Equities, Financial Modeling, Corporate Finance, Financial Analysis, Business Valuation, Investments, Investment Management, Risk Analysis, Cash Flows

      3.9
      Rating, 3.9 out of 5 stars
      ·
      1K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of California, Irvine

      Fundamentals of Management

      Skills you'll gain: Goal Setting, Professional Networking, Business Management, Staff Management, Leadership and Management, Operations Management, People Management, Business Administration, Business Planning, Customer Service, Organizational Leadership, Organizational Strategy, Leadership, Change Management

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.9K reviews

      Mixed · Course · 1 - 4 Weeks

    • C

      Coursera Project Network

      Getting Started with R

      Skills you'll gain: Data Import/Export, Package and Software Management, R Programming, Data Structures, Data Literacy, Software Installation, Data Analysis Software

      4.3
      Rating, 4.3 out of 5 stars
      ·
      380 reviews

      Beginner · Guided Project · Less Than 2 Hours

    • 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 Analysis Software, Data Cleansing, GitHub, Business Analysis, Cloud Computing, Data Analysis, Digital Transformation

      Build toward a degree

      4.6
      Rating, 4.6 out of 5 stars
      ·
      98K reviews

      Beginner · Specialization · 3 - 6 Months

    • J

      Johns Hopkins University

      Advanced R Programming

      Skills you'll gain: Object Oriented Programming (OOP), R Programming, Debugging, Functional Design, Programming Principles, Data Manipulation, Data Structures, Software Design Patterns, Performance Tuning

      4.2
      Rating, 4.2 out of 5 stars
      ·
      574 reviews

      Intermediate · Course · 1 - 3 Months

    • G

      Google

      Foundations: Data, Data, Everywhere

      Skills you'll gain: Data Ethics, Data Analysis, Data-Driven Decision-Making, Google Sheets, Spreadsheet Software, Analytical Skills, Data Sharing, Data Cleansing, Data Processing, Data Visualization Software, SQL, Data Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      114K reviews

      Beginner · Course · 1 - 4 Weeks

    • D

      DeepLearning.AI

      Supervised Machine Learning: Regression and Classification

      Skills you'll gain: Supervised Learning, Jupyter, Scikit Learn (Machine Learning Library), Machine Learning, NumPy, Predictive Modeling, Feature Engineering, Artificial Intelligence, Classification And Regression Tree (CART), Python Programming, Regression Analysis, Unsupervised Learning, Statistical Modeling

      4.9
      Rating, 4.9 out of 5 stars
      ·
      28K reviews

      Beginner · Course · 1 - 4 Weeks

    • G

      Google

      Google AI Essentials

      Skills you'll gain: Prompt Engineering, Generative AI, Productivity Software, Artificial Intelligence, Computer Security Awareness Training, Operational Efficiency, Innovation, Human Machine Interfaces, Information Privacy, Machine Learning, Content Creation, Business Ethics

      4.7
      Rating, 4.7 out of 5 stars
      ·
      11K reviews

      Beginner · Course · 1 - 3 Months

    • U

      University of Pennsylvania

      AI Fundamentals for Non-Data Scientists

      Skills you'll gain: Generative AI, Big Data, Machine Learning, Customer Data Management, Tensorflow, Artificial Intelligence, Deep Learning, Algorithms, Process Optimization, Data Analysis, Artificial Neural Networks, Natural Language Processing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      706 reviews

      Mixed · Course · 1 - 3 Months

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    1…91011…365

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

    • Financial Accounting Fundamentals: University of Virginia
    • Data Science Foundations: IBM
    • Data Engineering Foundations: IBM
    • Fundamentals of Finance: University of Pennsylvania
    • Fundamentals of Management: University of California, Irvine
    • Getting Started with R: Coursera Project Network
    • Introduction to Data Science: IBM
    • Advanced R Programming: Johns Hopkins University
    • Foundations: Data, Data, Everywhere: Google
    • Supervised Machine Learning: Regression and Classification : DeepLearning.AI

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