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  • Working With Sequential Data

Results for "working with sequential data"


  • Status: Free
    Free
    C

    Coursera

    PySpark Foundations: Process, analyze, and summarize data

    Skills you'll gain: PySpark, Apache Spark, Data Visualization Software, Data Analysis, Exploratory Data Analysis, Data Cleansing, Data Processing, Data Manipulation, Big Data, Jupyter, Pandas (Python Package), People Analytics

    Intermediate · Guided Project · Less Than 2 Hours

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

    Coursera

    Track and Update Vendor Performance Data

    Skills you'll gain: Data Entry, Data Integrity, Performance Metric, Business Intelligence, Performance Analysis, Standard Operating Procedure, Vendor Management, Performance Measurement, Supplier Performance Management, Data Validation, Data Maintenance, Performance Reporting, Verification And Validation, Data Capture, Data Management, Record Keeping, Procurement

    Beginner · Course · 1 - 4 Weeks

  • 2

    28DIGITAL

    Foundations of mining non-structured medical data

    Skills you'll gain: Data Mining, Medical Imaging, Image Analysis, Unstructured Data, Health Informatics, Big Data, Health Information Management and Medical Records, Text Mining, Data-Driven Decision-Making, Health Care, Data Ethics, Natural Language Processing, Medical Science and Research

    3.6
    Rating, 3.6 out of 5 stars
    ·
    26 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    E

    Edureka

    PySpark in Action: Hands-On Data Processing

    Skills you'll gain: PySpark, Apache Spark, Apache Hadoop, Data Pipelines, Big Data, Data Storage Technologies, Data Processing, Distributed Computing, Data Analysis Expressions (DAX), Data Storage, Data Transformation, SQL, Data Manipulation, Performance Tuning

    2.8
    Rating, 2.8 out of 5 stars
    ·
    8 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Preview
    Preview
    S

    Simplilearn

    Programming with C

    Skills you'll gain: Data Structures, C (Programming Language), Programming Principles, Data Management, Algorithms, Computer Programming, File I/O

    4.2
    Rating, 4.2 out of 5 stars
    ·
    14 reviews

    Beginner · Course · 1 - 4 Weeks

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

    Packt

    Data Science Essentials: Analysis, Statistics, and ML

    Skills you'll gain: Plotly, Model Evaluation, NumPy, Plot (Graphics), Dashboard, Statistics, Pandas (Python Package), Data Analysis, Statistical Analysis, Regression Analysis, Data Manipulation, Python Programming, Analytics, Probability & Statistics, Statistical Methods, Applied Machine Learning, Probability, Data Science, Statistical Modeling, Performance Tuning

    4.7
    Rating, 4.7 out of 5 stars
    ·
    26 reviews

    Intermediate · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    M

    Microsoft

    Microsoft Azure Machine Learning for Data Scientists

    Skills you'll gain: Responsible AI, Microsoft Azure, Unsupervised Learning, Databricks, MLOps (Machine Learning Operations), Applied Machine Learning, Classification Algorithms, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Model Deployment, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Model Evaluation, Supervised Learning, Virtual Machines, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    177 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    E

    Edureka

    Predictive Modeling with Python

    Skills you'll gain: Predictive Modeling, Predictive Analytics, Statistical Methods, Data Analysis, Applied Machine Learning, Business Analytics, Statistical Analysis, Machine Learning, Scikit Learn (Machine Learning Library), Machine Learning Algorithms, Data Preprocessing, Big Data, Python Programming, Data Manipulation, Pandas (Python Package), Logistic Regression, NumPy

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Machine Learning with Apache Spark

    Skills you'll gain: Apache Spark, Machine Learning, Generative AI, PySpark, Applied Machine Learning, Model Evaluation, Supervised Learning, Apache Hadoop, Data Pipelines, Unsupervised Learning, Data Processing, Extract, Transform, Load, Classification Algorithms, Data Transformation, Regression Analysis

    4.5
    Rating, 4.5 out of 5 stars
    ·
    113 reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Performing Data Aggregation using SQL Aggregate Functions

    Skills you'll gain: SQL, MySQL, Data Manipulation, Data Access, PostgreSQL, Data Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    79 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Data Warehousing and Integration Part 2

    Skills you'll gain: Data Governance, Extract, Transform, Load, Data Warehousing, Data Integration, DevOps, Data Pipelines, CI/CD, Data Architecture, Infrastructure as Code (IaC), Data Quality, Amazon Redshift, Cloud Computing, Database Architecture and Administration, Cloud Computing Architecture, Analytics, Data Transformation, Amazon S3, Scalability

    Mixed · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    C

    Coursera

    GenAI for Financial Data Analysis

    Skills you'll gain: Generative AI, Responsible AI, Financial Data, Complex Problem Solving, Microsoft Copilot, ChatGPT, Data-Driven Decision-Making, Data Analysis, Financial Analysis, Business Ethics, Data Visualization Software

    4.2
    Rating, 4.2 out of 5 stars
    ·
    13 reviews

    Beginner · Course · 1 - 4 Weeks

1…959697…834

In summary, here are 10 of our most popular working with sequential data courses

  • PySpark Foundations: Process, analyze, and summarize data: Coursera
  • Track and Update Vendor Performance Data: Coursera
  • Foundations of mining non-structured medical data: 28DIGITAL
  • PySpark in Action: Hands-On Data Processing: Edureka
  • Programming with C: Simplilearn
  • Data Science Essentials: Analysis, Statistics, and ML: Packt
  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Predictive Modeling with Python : Edureka
  • Machine Learning with Apache Spark: IBM
  • Performing Data Aggregation using SQL Aggregate Functions: Coursera

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