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  • Python Data Analysis

Results for "python data analysis"


  • I

    IBM

    IBM Relational Database Administrator with GenAI

    Skills you'll gain: Extract, Transform, Load, Data Warehousing, Web Scraping, Database Administration, Data Engineering, Database Design, Relational Databases, Linux Commands, Data Pipelines, SQL, Database Management, Apache Kafka, Apache Airflow, Bash (Scripting Language), Database Architecture and Administration, Shell Script, IBM DB2, Generative AI, Data Import/Export, Data Security

    4.6
    Rating, 4.6 out of 5 stars
    ·
    61K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • D

    DeepLearning.AI

    Machine Learning in Production

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Cloud Deployment, Continuous Deployment, Model Evaluation, Data Preprocessing, Machine Learning, Applied Machine Learning, Data Validation, Feature Engineering, Data Quality, Debugging, Continuous Monitoring, Data Pipelines

    4.8
    Rating, 4.8 out of 5 stars
    ·
    3.4K reviews

    Intermediate · Course · 1 - 4 Weeks

  • I

    IBM

    Supervised Machine Learning: Regression

    Skills you'll gain: Supervised Learning, Regression Analysis, Applied Machine Learning, Predictive Modeling, Machine Learning, Machine Learning Algorithms, Statistical Modeling, Logistic Regression, Scikit Learn (Machine Learning Library), Model Evaluation, Data Preprocessing, Feature Engineering, Statistical Analysis, Classification Algorithms

    4.7
    Rating, 4.7 out of 5 stars
    ·
    829 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    Vision & Audio AI Systems

    Skills you'll gain: Apache Airflow, Data Validation, Image Analysis, Transfer Learning, Data Preprocessing, Data Integrity, Model Evaluation, Debugging, Computer Vision, PyTorch (Machine Learning Library), Data Pipelines, Feature Engineering, MLOps (Machine Learning Operations), Tensorflow, Algorithms, Embeddings, Applied Machine Learning, Performance Tuning, Deep Learning, Digital Signal Processing

    Advanced · Specialization · 3 - 6 Months

  • C

    Coursera

    Validate and Explain Your ML Models

    Skills you'll gain: Verification And Validation, Sampling (Statistics), Statistical Machine Learning, Test Data, Machine Learning

    Intermediate · Course · 1 - 4 Weeks

  • N

    New York Institute of Finance

    Using Machine Learning in Trading and Finance

    Skills you'll gain: Tensorflow, Keras (Neural Network Library), Financial Trading, Data Pipelines, Applied Machine Learning, Technical Analysis, Machine Learning, Securities Trading, Statistical Machine Learning, Market Trend, Financial Market, Deep Learning, Python Programming, Predictive Modeling, Model Evaluation, Time Series Analysis and Forecasting

    3.9
    Rating, 3.9 out of 5 stars
    ·
    378 reviews

    Intermediate · Course · 1 - 3 Months

  • C

    Coursera

    AI Techniques, Causal Inference & Business Optimization

    Skills you'll gain: Data Ethics, Responsible AI, Retrieval-Augmented Generation, LLM Application, Operations Research, General Data Protection Regulation (GDPR), Strategic Thinking, Strategic Decision-Making, Business Strategy, Apache Kafka, Stakeholder Communications, Large Language Modeling, Real Time Data, AI Enablement, Information Privacy, Performance Testing, Personally Identifiable Information, Reinforcement Learning, Inventory Management System, Stakeholder Analysis

    Intermediate · Specialization · 3 - 6 Months

  • E

    Edureka

    Getting Started with Automated Machine Learning (AutoML)

    Skills you'll gain: Model Deployment, MLOps (Machine Learning Operations), Automation, Artificial Intelligence and Machine Learning (AI/ML), Machine Learning Methods, No-Code Development, Data Preprocessing, Scikit Learn (Machine Learning Library), Machine Learning, Model Evaluation, Applied Machine Learning, Predictive Modeling, Feature Engineering, Data-Driven Decision-Making, Machine Learning Algorithms, Artificial Intelligence, Scalability, Performance Tuning, Performance Metric

    Beginner · Course · 1 - 4 Weeks

  • L

    LearnQuest

    AI for Scientific Research

    Skills you'll gain: Data Preprocessing, Feature Engineering, Model Evaluation, Bioinformatics, Exploratory Data Analysis, Random Forest Algorithm, Pandas (Python Package), Scikit Learn (Machine Learning Library), Applied Machine Learning, Data Manipulation, Dimensionality Reduction, Data Cleansing, Keras (Neural Network Library), Data Transformation, NumPy, Classification Algorithms, Tensorflow, Artificial Neural Networks, Machine Learning, Data Science

    3.4
    Rating, 3.4 out of 5 stars
    ·
    100 reviews

    Beginner · Specialization · 3 - 6 Months

  • T

    The University of Edinburgh

    Breeding Programme Modelling with AlphaSimR

    Skills you'll gain: Simulation and Simulation Software, Bioinformatics, Biotechnology, Mathematical Modeling, Life Sciences, Biology, R Programming, Data Collection, Quantitative Research

    Intermediate · Course · 1 - 3 Months

  • P

    Packt

    Foundations of Model Optimization and Deep Learning

    Skills you'll gain: Convolutional Neural Networks, Model Evaluation, Keras (Neural Network Library), Image Analysis, Deep Learning, Applied Machine Learning, Computer Vision, Dimensionality Reduction, PyTorch (Machine Learning Library), Tensorflow, Machine Learning Methods, Data Preprocessing, Performance Tuning, Artificial Intelligence

    Intermediate · Course · 1 - 4 Weeks

  • W

    Wesleyan University

    Regression Modeling in Practice

    Skills you'll gain: Regression Analysis, Logistic Regression, Statistical Methods, Statistical Analysis, Statistical Modeling, Data Analysis, Correlation Analysis, Analysis, SAS (Software), Scatter Plots, Predictive Modeling, Model Evaluation, Data Manipulation, Python Programming

    4.4
    Rating, 4.4 out of 5 stars
    ·
    274 reviews

    Mixed · Course · 1 - 4 Weeks

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In summary, here are 10 of our most popular python data analysis courses

  • IBM Relational Database Administrator with GenAI: IBM
  • Machine Learning in Production: DeepLearning.AI
  • Supervised Machine Learning: Regression: IBM
  • Vision & Audio AI Systems: Coursera
  • Validate and Explain Your ML Models: Coursera
  • Using Machine Learning in Trading and Finance: New York Institute of Finance
  • AI Techniques, Causal Inference & Business Optimization: Coursera
  • Getting Started with Automated Machine Learning (AutoML): Edureka
  • AI for Scientific Research: LearnQuest
  • Breeding Programme Modelling with AlphaSimR: The University of Edinburgh

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