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Data Analytics Courses

Data analytics courses can help you learn data visualization, statistical analysis, and data cleaning techniques. You can build skills in interpreting complex datasets, making data-driven decisions, and communicating insights effectively. Many courses introduce tools like Excel, SQL, and Tableau, that support analyzing data and presenting findings. You'll also explore methods such as regression analysis and A/B testing, which are crucial for evaluating performance and optimizing strategies.


Popular Data Analytics Courses and Certifications


  • C

    Coursera

    Cómo importar datos y crear visualizaciones en Python

    Skills you'll gain: Matplotlib, Data Visualization Software, Data Visualization, Pandas (Python Package), Jupyter, Data Import/Export, Data Science, Data Analysis, Analytical Skills, Python Programming, Scripting

    Beginner · Guided Project · Less Than 2 Hours

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

    Microsoft

    Indexing, Performance Optimization & Functions in SQL Server

    Skills you'll gain: Stored Procedure, Microsoft SQL Servers, Database Development, Transact-SQL, Performance Tuning, Database Management, SQL, Microsoft Copilot, System Monitoring

    4.8
    Rating, 4.8 out of 5 stars
    ·
    11 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    Master Retrieval-Augmented Generation (RAG) Systems

    Skills you'll gain: Retrieval-Augmented Generation, Embeddings, Large Language Modeling, Prompt Engineering, Data Visualization, Generative AI, Vector Databases, Text Mining, Data Processing

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    P

    Packt

    A Practical Approach to Timeseries Forecasting Using Python

    Skills you'll gain: Recurrent Neural Networks (RNNs), Forecasting, Statistical Modeling, Model Evaluation, Feature Engineering, Data Visualization Software

    Intermediate · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    E

    EDUCBA

    Logistic Regression Fundamentals: Analyze & Predict

    Skills you'll gain: Model Evaluation, Logistic Regression, SAS (Software), Predictive Modeling, Regression Analysis, Predictive Analytics, Feature Engineering, Analytics, Statistical Methods, Data Transformation, Statistical Modeling, Statistical Analysis, Business Analytics, Estimation, Probability

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    S

    Simplilearn

    LLM Fine-Tuning and Customization Training

    Skills you'll gain: LangChain, Responsible AI, Large Language Modeling, Model Deployment, OpenAI, Data Preprocessing, Hugging Face, Model Evaluation, Transfer Learning, Supervised Learning, Reinforcement Learning

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Semantic Segmentation with Amazon Sagemaker

    Skills you'll gain: AWS SageMaker, AWS Identity and Access Management (IAM), Amazon Web Services, Model Deployment, Image Analysis, Amazon Elastic Compute Cloud, Amazon S3, Machine Learning Algorithms, Data Preprocessing, Convolutional Neural Networks, Computer Vision, Deep Learning, Machine Learning

    4.6
    Rating, 4.6 out of 5 stars
    ·
    94 reviews

    Advanced · Guided Project · Less Than 2 Hours

  • P

    Packt

    Machine Learning: Random Forest with Python from Scratch©

    Skills you'll gain: Matplotlib, Applied Machine Learning, Random Forest Algorithm, Predictive Modeling, Data Visualization, Data Preprocessing, Machine Learning, Data Manipulation, Feature Engineering, Data Cleansing, Python Programming, Data Science, Model Evaluation, Classification Algorithms, NumPy, Pandas (Python Package)

    Beginner · Course · 1 - 3 Months

  • C

    Coursera

    Simulation of Call Centre Operations Using R Simmer

    Skills you'll gain: Simulations, Resource Management, Call Center Experience, Process Management, Workflow Management, Data Analysis, Process Analysis, Plot (Graphics), R Programming, Statistical Analysis, Statistical Modeling

    Beginner · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Introduction to Deep Learning for Computer Vision

    Skills you'll gain: Model Evaluation, Computer Vision, Convolutional Neural Networks, Image Analysis, Transfer Learning, Matlab, Artificial Neural Networks, Deep Learning, Applied Machine Learning, Classification Algorithms, Performance Tuning

    4.9
    Rating, 4.9 out of 5 stars
    ·
    18 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    S

    SAS

    머신 러닝 자세히 알아보기: 기술적 팁, 요령, 그리고 함정

    Skills you'll gain: Machine Learning, Data Ethics, Responsible AI, Technical Communication, Statistical Machine Learning, Predictive Analytics, Supervised Learning, Model Evaluation, Artificial Intelligence, Data Analysis, Decision Tree Learning, Machine Learning Algorithms, Logistic Regression, Classification Algorithms, Artificial Neural Networks

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Advanced Deep Learning Techniques for Computer Vision

    Skills you'll gain: Model Deployment, Anomaly Detection, Image Analysis, Computer Vision, Matlab, Deep Learning, Applied Machine Learning, PyTorch (Machine Learning Library), Transfer Learning, Data Synthesis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 4 Weeks

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

  • Cómo importar datos y crear visualizaciones en Python: Coursera
  • Indexing, Performance Optimization & Functions in SQL Server: Microsoft
  • Master Retrieval-Augmented Generation (RAG) Systems: Packt
  • A Practical Approach to Timeseries Forecasting Using Python: Packt
  • Logistic Regression Fundamentals: Analyze & Predict: EDUCBA
  • LLM Fine-Tuning and Customization Training: Simplilearn
  • Semantic Segmentation with Amazon Sagemaker: Coursera
  • Machine Learning: Random Forest with Python from Scratch©: Packt
  • Simulation of Call Centre Operations Using R Simmer: Coursera
  • Introduction to Deep Learning for Computer Vision: MathWorks

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