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  • Python Programming And Data Structures

Results for "python programming and data structures"


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    The Power of Object-Oriented Programming

    Skills you'll gain: Object Oriented Programming (OOP), Object Oriented Design, Computer Programming, Program Development, Python Programming, Debugging

    4
    Rating, 4 out of 5 stars
    ·
    6 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    C

    Coursera

    Segment and Validate Your Live Marketing Data

    Skills you'll gain: Google Analytics, Web Analytics, Marketing Analytics, Target Audience, Campaign Management, Data-Driven Decision-Making, Marketing Effectiveness, Performance marketing, Data Validation, Real Time Data, Customer Insights, Trend Analysis, Data Quality, Anomaly Detection, Benchmarking

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    P

    Packt

    Computer Programming for Absolute Beginners

    Skills you'll gain: Programming Principles, Debugging, Computer Programming, Application Design, Computer Science, Maintainability, Object Oriented Programming (OOP), Software Development, Data Management, Algorithms, Software Architecture

    Beginner · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    C

    Codio

    Programming in Java: A Hands-on Introduction

    Skills you'll gain: Apache Maven, File I/O, Data Import/Export, Object Oriented Programming (OOP), JSON, Java Programming, Debugging, Object Oriented Design, JUnit, Software Documentation, Data Structures, Computer Programming, Restful API, Integrated Development Environments, Java, Programming Principles, Data Validation, Network Protocols, Unit Testing, Computer Science

    4.5
    Rating, 4.5 out of 5 stars
    ·
    197 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Preview
    Preview
    S

    Stanford University

    Introduction to Statistics

    Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Probability Distribution

    4.6
    Rating, 4.6 out of 5 stars
    ·
    4.3K reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado System

    Algorithms, Data Collection, and Starting to Code

    Skills you'll gain: Computational Thinking, Data Collection, Microsoft Visual Studio, Program Development, C (Programming Language), Programming Principles, Algorithms, Data Storage, Computer Programming

    4.6
    Rating, 4.6 out of 5 stars
    ·
    377 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    C

    Corporate Finance Institute

    Practical Data Science for Data Analysts

    Skills you'll gain: Classification Algorithms, Data Preprocessing, Feature Engineering, Model Evaluation, Data Import/Export, Matplotlib, Data Science, Regression Analysis, Financial Data, Data Analysis, Exploratory Data Analysis, Business Analytics, Data Cleansing, Pandas (Python Package), Machine Learning Algorithms, Statistical Visualization, Financial Analysis, Statistical Modeling, Statistical Analysis, Predictive Analytics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    30 reviews

    Advanced · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    NumPy and Pandas Basics for Future Data Scientists

    Skills you'll gain: Debugging, Data Analysis, Data Preprocessing, Numerical Analysis, Critical Thinking

    4
    Rating, 4 out of 5 stars
    ·
    11 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    Data Science Methodology

    Skills you'll gain: Jupyter, Data Modeling, Model Deployment, Data Science, Data Preprocessing, Data Cleansing, Data Mining, Model Evaluation, Business Analysis, Data Analysis, Business Requirements, Decision Tree Learning, Data Storytelling

    4.6
    Rating, 4.6 out of 5 stars
    ·
    21K reviews

    Beginner · Course · 1 - 4 Weeks

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

    Pearson

    Programming Generative AI: Unit 2

    Skills you'll gain: Generative AI, Large Language Modeling, Generative Model Architectures, Image Analysis, Autoencoders, Hugging Face, Embeddings, Computer Vision, Convolutional Neural Networks, PyTorch (Machine Learning Library), LLM Application, Natural Language Processing

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    C

    Coursera

    Introduction to Data Protection and Privacy

    Skills you'll gain: General Data Protection Regulation (GDPR), Personally Identifiable Information, Information Privacy, Data Governance, Data Security, Cybersecurity, Data Management, Data Ethics, Cyber Governance, Security Controls, Cyber Risk, Data Access, Encryption, Risk Management Framework

    4.7
    Rating, 4.7 out of 5 stars
    ·
    70 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Finance of Mergers and Acquisitions: Designing an M&A Deal

    Skills you'll gain: Mergers & Acquisitions, Private Equity, Business Valuation, Investment Banking, Price Negotiation, Capital Markets, Accounting, Corporate Tax, Corporate Strategy, Financial Modeling, Financial Management, Corporate Finance, Strategic Planning, Financial Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    65 reviews

    Intermediate · Course · 1 - 3 Months

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

  • The Power of Object-Oriented Programming: University of Michigan
  • Segment and Validate Your Live Marketing Data: Coursera
  • Computer Programming for Absolute Beginners: Packt
  • Programming in Java: A Hands-on Introduction: Codio
  • Introduction to Statistics: Stanford University
  • Algorithms, Data Collection, and Starting to Code: University of Colorado System
  • Practical Data Science for Data Analysts: Corporate Finance Institute
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • Data Science Methodology: IBM
  • Programming Generative AI: Unit 2: Pearson

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