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Results for "advanced analytics"


  • Status: Free Trial
    Free Trial
    I

    IBM

    IBM AI Engineering

    Skills you'll gain: Prompt Engineering, Apache Spark, Large Language Modeling, Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Computer Vision, Retrieval-Augmented Generation, Unsupervised Learning, Generative Model Architectures, Generative AI, PySpark, Vision Transformer (ViT), Keras (Neural Network Library), LLM Application, Supervised Learning, Vector Databases, Machine Learning, Python Programming, Data Science

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: New
    New
    Status: Preview
    Preview
    C

    Coursera

    Agentic AI Content for Practitioners (Teams: Data)

    Skills you'll gain: AI Workflows, Agentic systems, AI Orchestration, AI Enablement, Advanced Analytics, Data Processing, Enterprise Architecture, Automation, Data Transformation, Artificial Intelligence, Continuous Improvement Process, Data Quality, Application Deployment, Scalability, Performance Tuning, Business Metrics, Software Design Patterns

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    G

    Google

    Data Analysis with R Programming

    Skills you'll gain: Rmarkdown, Ggplot2, R (Software), R Programming, Data Analysis, Tidyverse (R Package), Data Visualization, Statistical Programming, Data Visualization Software, Data Cleansing, Data Manipulation, Data Import/Export, Package and Software Management, Data Structures

    4.8
    Rating, 4.8 out of 5 stars
    ·
    12K reviews

    Beginner · Course · 1 - 3 Months

  • 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
    Status: Free Trial
    Free Trial
    R

    Real Madrid Graduate School Universidad Europea

    Must-Know Concepts - Basic requirements for data analysis

    Skills you'll gain: Data Presentation, Matplotlib, Analytics, Probability Distribution, Data Processing, Statistical Methods, Exploratory Data Analysis, Statistical Analysis, Probability, Data Cleansing, Computer Programming Tools, Data Collection, Performance Measurement, Python Programming, Technical Analysis

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    N

    Northwestern University

    Social Media Marketing

    Skills you'll gain: Marketing Budgets, Blogs, Social Media Marketing, Integrated Marketing Communications, Social Media, Peer Review, Key Performance Indicators (KPIs), Social Media Strategy, Real Time Data, Marketing Effectiveness, Content Marketing, Strategic Marketing, Marketing Strategies, Social Media Content, Marketing, Target Audience, Digital Transformation, Analytics, Digital Marketing, ChatGPT

    4.6
    Rating, 4.6 out of 5 stars
    ·
    5.6K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Linear Algebra for Machine Learning and Data Science

    Skills you'll gain: Linear Algebra, NumPy, Dimensionality Reduction, Data Preprocessing, Machine Learning Methods, Advanced Mathematics, Data Manipulation, Applied Mathematics, Mathematical Modeling, Machine Learning, Python Programming, Algebra

    4.6
    Rating, 4.6 out of 5 stars
    ·
    2.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    U

    University of California San Diego

    Big Data

    Skills you'll gain: Apache Spark, Model Evaluation, Apache Hadoop, Data Integration, Exploratory Data Analysis, Big Data, Classification Algorithms, Graph Theory, Data Pipelines, Database Design, Data Modeling, Regression Analysis, Data Mining, Data Management, Applied Machine Learning, Data Preprocessing, Data Presentation, Scalability, Data Processing, MongoDB

    4.5
    Rating, 4.5 out of 5 stars
    ·
    14K reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    Status: AI skills
    AI skills
    I

    IBM

    IBM Deep Learning with PyTorch, Keras and Tensorflow

    Skills you'll gain: Transfer Learning, PyTorch (Machine Learning Library), Model Evaluation, Vision Transformer (ViT), Keras (Neural Network Library), Deep Learning, Reinforcement Learning, Convolutional Neural Networks, Unsupervised Learning, Autoencoders, Artificial Neural Networks, Recurrent Neural Networks (RNNs), Machine Learning Methods, Generative AI, Generative Adversarial Networks (GANs), Logistic Regression, Tensorflow, Artificial Intelligence and Machine Learning (AI/ML), Image Analysis, Data Preprocessing

    4.5
    Rating, 4.5 out of 5 stars
    ·
    4.1K reviews

    Intermediate · Professional Certificate · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Introduction to Data Science in Python

    Skills you'll gain: Pandas (Python Package), Data Manipulation, NumPy, Data Cleansing, Data Transformation, Data Preprocessing, Data Science, Statistical Analysis, Pivot Tables And Charts, Data Analysis, Python Programming, Data Import/Export, Programming Principles

    4.5
    Rating, 4.5 out of 5 stars
    ·
    27K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    DeepLearning.AI

    Natural Language Processing

    Skills you'll gain: Natural Language Processing, Supervised Learning, Transfer Learning, Recurrent Neural Networks (RNNs), Markov Model, Embeddings, Text Mining, Dimensionality Reduction, Machine Learning Methods, Statistical Machine Learning, Artificial Neural Networks, Classification Algorithms, Data Preprocessing, PyTorch (Machine Learning Library), Deep Learning, Tensorflow, Feature Engineering, Applied Machine Learning, Algorithms, Keras (Neural Network Library)

    4.6
    Rating, 4.6 out of 5 stars
    ·
    6.2K reviews

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Next-Gen Brand Management

    Skills you'll gain: Brand Awareness, Brand Management, Canva (Software), Brand Strategy, Branding, Brand Marketing, Logo Design, Social Media, Social Media Strategy, Social Media Campaigns, Target Audience, Social Media Marketing, Style Guides, AI Personalization, Email Marketing, Data Presentation, Digital Marketing, Generative AI, Marketing Analytics, Content Creation

    4.6
    Rating, 4.6 out of 5 stars
    ·
    1.7K reviews

    Intermediate · Specialization · 3 - 6 Months

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In summary, here are 10 of our most popular advanced analytics courses

  • IBM AI Engineering: IBM
  • Agentic AI Content for Practitioners (Teams: Data): Coursera
  • Data Analysis with R Programming: Google
  • Segment and Validate Your Live Marketing Data: Coursera
  • Must-Know Concepts - Basic requirements for data analysis: Real Madrid Graduate School Universidad Europea
  • Social Media Marketing: Northwestern University
  • Linear Algebra for Machine Learning and Data Science: DeepLearning.AI
  • Big Data: University of California San Diego
  • IBM Deep Learning with PyTorch, Keras and Tensorflow: IBM
  • Introduction to Data Science in Python: University of Michigan

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