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  • ОсновыПрограммированияНа Python

Results for "основы программирования на python"


  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Debugging: Hunting and Squashing Bugs

    Skills you'll gain: Debugging, Unit Testing, Integrated Development Environments, Development Testing, Technical Communication, Python Programming, File Management

    Intermediate · Course · 1 - 4 Weeks

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

    Packt

    Big Data Foundations with Hadoop and Spark

    Skills you'll gain: Apache Kafka, Apache Hadoop, Apache Spark, Real Time Data, Scala Programming, Data Integration, Command-Line Interface, Apache Hive, Big Data, Applied Machine Learning, Data Processing, Apache, System Design and Implementation, Apache Cassandra, Data Pipelines, Java, Distributed Computing, Query Languages, IntelliJ IDEA, Application Deployment

    4.6
    Rating, 4.6 out of 5 stars
    ·
    14 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    S

    Simplilearn

    AI ML with Deep Learning and Supervised Models

    Skills you'll gain: Supervised Learning, Data Modeling, Unsupervised Learning, Applied Machine Learning, Data Analysis, Reinforcement Learning, Artificial Intelligence, Classification And Regression Tree (CART), Tensorflow, Machine Learning Algorithms, Keras (Neural Network Library), Artificial Neural Networks, Deep Learning, Predictive Modeling, Machine Learning, Regression Analysis, Data Ethics, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Random Forest Algorithm

    4
    Rating, 4 out of 5 stars
    ·
    10 reviews

    Beginner · Specialization · 1 - 3 Months

  • Status: New
    New
    Status: Free Trial
    Free Trial
    U

    University of Pittsburgh

    Probability Theory and Regression for Predictive Analytics

    Skills you'll gain: Probability Distribution, Data Science, Probability & Statistics, Predictive Analytics, Probability, Statistical Modeling, Data Analysis, Regression Analysis, Statistical Analysis, Statistical Methods, Statistical Machine Learning, Bayesian Statistics, Statistical Inference, Feature Engineering, Applied Mathematics, Python Programming, Machine Learning, Algorithms

    Build toward a degree

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Scikit-Learn For Machine Learning Classification Problems

    Skills you'll gain: Scikit Learn (Machine Learning Library), Applied Machine Learning, Machine Learning Algorithms, Classification And Regression Tree (CART), Supervised Learning, Random Forest Algorithm, Machine Learning, Unsupervised Learning, Data Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    18 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    C

    Coursera

    Building AI Agents: Automation and NLP Foundations

    Skills you'll gain: Generative AI Agents, Responsible AI, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Agentic systems, OpenAI, Automation, ChatGPT, LLM Application, Prompt Engineering Tools, LangChain, Data Ethics, Tool Calling, Generative AI, Business Process Automation, Large Language Modeling, Performance Testing, Innovation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    24 reviews

    Intermediate · Course · 1 - 4 Weeks

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

    Pearson

    Data Science Fundamentals, Part 2

    Skills you'll gain: Exploratory Data Analysis, Predictive Modeling, Statistical Modeling, A/B Testing, Matplotlib, Box Plots, Sampling (Statistics), Predictive Analytics, Data Analysis, Regression Analysis, Statistical Inference, Data Visualization, Descriptive Statistics, Scikit Learn (Machine Learning Library), Data Science, Estimation, Statistical Analysis, NumPy, Machine Learning, Python Programming

    Beginner · Specialization · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Processing, Pandas (Python Package), Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Preview
    Preview
    N

    Northeastern University

    Data Analytics Engineering: Probability & Techniques

    Skills you'll gain: Exploratory Data Analysis, Time Series Analysis and Forecasting, Data Analysis, Data Wrangling, Probability & Statistics, Unsupervised Learning, Data Science, Text Mining, Data Manipulation, Statistical Analysis, Data Structures, Data Cleansing, Programming Principles, Data Visualization Software, Python Programming

    Mixed · Course · 1 - 4 Weeks

  • C

    Coursera

    Оценка компании по модели DCF

    Skills you'll gain: Financial Forecasting, Profit and Loss (P&L) Management, Business Valuation, Financial Analysis, Financial Modeling, Equities, Cash Flows, Corporate Finance

    4.6
    Rating, 4.6 out of 5 stars
    ·
    20 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Free Trial
    Free Trial
    M

    Macquarie University

    Cyber Security: Application of AI

    Skills you'll gain: Anomaly Detection, Cyber Security Strategy, Cyber Threat Intelligence, Threat Detection, Intrusion Detection and Prevention, Fraud detection, Cybersecurity, Applied Machine Learning, Malware Protection, Threat Modeling, Artificial Intelligence and Machine Learning (AI/ML), Artificial Intelligence, Machine Learning Methods, Network Analysis, Machine Learning, Machine Learning Algorithms, Artificial Neural Networks, MLOps (Machine Learning Operations), Data-Driven Decision-Making

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Machine/Deep Learning for Mining Quality Prediction-Enhanced

    Skills you'll gain: Exploratory Data Analysis, Regression Analysis, Predictive Modeling, Applied Machine Learning, Data Manipulation, Data Analysis, Random Forest Algorithm, Machine Learning, Decision Tree Learning, Machine Learning Algorithms, Data Visualization Software, Artificial Neural Networks, Deep Learning, Statistical Methods, Python Programming

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Guided Project · Less Than 2 Hours

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In summary, here are 10 of our most popular основы программирования на python courses

  • Debugging: Hunting and Squashing Bugs: University of Michigan
  • Big Data Foundations with Hadoop and Spark: Packt
  • AI ML with Deep Learning and Supervised Models: Simplilearn
  • Probability Theory and Regression for Predictive Analytics: University of Pittsburgh
  • Scikit-Learn For Machine Learning Classification Problems: Coursera
  • Building AI Agents: Automation and NLP Foundations: Coursera
  • Data Science Fundamentals, Part 2: Pearson
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Data Analytics Engineering: Probability & Techniques: Northeastern University
  • Оценка компании по модели DCF: Coursera

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