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  • Practical Python Implementation

Results for "practical python implementation"


  • G

    Google Cloud

    Encoder-Decoder Architecture

    Skills you'll gain: Model Deployment, Keras (Neural Network Library), Tensorflow, Recurrent Neural Networks (RNNs), Generative Model Architectures, Machine Learning Methods, Artificial Neural Networks

    4.3
    Rating, 4.3 out of 5 stars
    ·
    51 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    GenAI for Business Intelligence Analysts

    Skills you'll gain: Business Intelligence, Generative AI, Business Analytics, Responsible AI, Business Process Automation, Data-Driven Decision-Making, Data Ethics, Data Storytelling, Exploratory Data Analysis, Data Validation, Project Implementation

    4.5
    Rating, 4.5 out of 5 stars
    ·
    13 reviews

    Intermediate · Course · 1 - 4 Weeks

  • A

    Amazon Web Services

    AWS Glue Getting Started

    Skills you'll gain: Amazon Web Services, Data Preprocessing, Data Wrangling, Data Processing, Amazon S3, Extract, Transform, Load, Data Pipelines, Data Integration

    4.5
    Rating, 4.5 out of 5 stars
    ·
    31 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    SQL for Data Science (and Version Control with GitHub)

    Skills you'll gain: SQL, Database Design, Database Management, Data Analysis, Database Architecture and Administration, Data Cleansing, Data Transformation, Data Manipulation, Query Languages, Analytics, GitHub, Data Integration, AI Enablement, Git (Version Control System), Performance Tuning

    4.1
    Rating, 4.1 out of 5 stars
    ·
    19 reviews

    Beginner · Course · 1 - 3 Months

  • J

    Johns Hopkins University

    Program Design & Evaluation for Health Systems Strengthening

    Skills you'll gain: Health Policy, Health Systems, Public Health, Health Information Management, Research Design, Systems Analysis, Scalability, Technical Communication, Data Quality

    4.7
    Rating, 4.7 out of 5 stars
    ·
    38 reviews

    Intermediate · Course · 1 - 4 Weeks

  • U

    University of Washington

    Data Science at Scale - Capstone Project

    Skills you'll gain: Feature Engineering, Model Evaluation, Data Analysis, Predictive Modeling, Data Wrangling, Statistical Modeling, Statistics, Data Science, Data Preprocessing, Predictive Analytics, Data Integration, Data Collection, Applied Machine Learning, R Programming, Research, Data Validation, Python Programming

    3.8
    Rating, 3.8 out of 5 stars
    ·
    26 reviews

    Mixed · Course · 1 - 3 Months

  • D

    DeepLearning.AI

    Fast Prototyping of GenAI Apps with Streamlit

    Skills you'll gain: Application Deployment, Cloud Deployment, Generative AI, Prompt Engineering, Prototyping, Agile Product Development, Retrieval-Augmented Generation, Application Development, Interactive Design, User Interface (UI), Data Integration

    3.9
    Rating, 3.9 out of 5 stars
    ·
    10 reviews

    Intermediate · Course · 1 - 4 Weeks

  • 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

    4.1
    Rating, 4.1 out of 5 stars
    ·
    12 reviews

    Intermediate · Course · 1 - 4 Weeks

  • P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Plot (Graphics), Pandas (Python Package), Scientific Visualization, Data Manipulation, Scatter Plots, Machine Learning, Data Science, Data Analysis Software, Histogram, Numerical Analysis, Probability Distribution, Linear Algebra, Classification Algorithms, Regression Analysis

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Course · 1 - 3 Months

  • I

    IBM

    Introduction to Systems Architecture  

    Skills you'll gain: Software Architecture, Systems Development Life Cycle, Systems Architecture, Systems Thinking, Software Design Patterns, Stakeholder Communications, Systems Analysis, Data Flow Diagrams (DFDs), Application Design

    4.9
    Rating, 4.9 out of 5 stars
    ·
    17 reviews

    Beginner · Course · 1 - 3 Months

  • E

    EDUCBA

    Data Analysis with NumPy and Pandas

    Skills you'll gain: Pandas (Python Package), Pivot Tables And Charts, Data Manipulation, Data Import/Export, NumPy, Time Series Analysis and Forecasting, Business Reporting, Jupyter, Data Wrangling, Microsoft Excel, Data Transformation, Matplotlib, Data Analysis, Data Cleansing, Data Preprocessing, Analytics, Data Processing, Business Analytics, Python Programming, Data Analysis Software

    4.4
    Rating, 4.4 out of 5 stars
    ·
    8 reviews

    Beginner · Specialization · 1 - 3 Months

  • H

    Hult International Business School

    Mastering Sales: From Fundamentals to Career Success

    Skills you'll gain: Active Listening, Rapport Building, Sales Strategy, Sales Process, Sales Presentation, Communication, Prospecting and Qualification, Influencing, Relationship Building, Professional Development, Negotiation, Interviewing Skills, Branding, Time Management

    5
    Rating, 5 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

1…288289290…642

In summary, here are 10 of our most popular practical python implementation courses

  • Encoder-Decoder Architecture: Google Cloud
  • GenAI for Business Intelligence Analysts: Coursera
  • AWS Glue Getting Started: Amazon Web Services
  • SQL for Data Science (and Version Control with GitHub): Coursera
  • Program Design & Evaluation for Health Systems Strengthening: Johns Hopkins University
  • Data Science at Scale - Capstone Project: University of Washington
  • Fast Prototyping of GenAI Apps with Streamlit: DeepLearning.AI
  • NumPy and Pandas Basics for Future Data Scientists: University of Michigan
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Introduction to Systems Architecture  : IBM

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