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Results for "data-science"


  • Status: Free Trial
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    I

    IBM

    Data Scientist Career Guide and Interview Preparation

    Skills you'll gain: Professional Networking, Interviewing Skills, Professional Development, Presentations, Data Science, Company, Product, and Service Knowledge, Recruitment, Writing, Business Research, Portfolio Management, Data Analysis, Job Analysis, Problem Solving, Communication, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    343 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    E

    EDUCBA

    Pandas with Python: Analyze, Transform & Export Data

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

    Mixed · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Data Analysis and Hypothesis Testing

    Skills you'll gain: Exploratory Data Analysis, Data Presentation, Probability Distribution, Statistical Hypothesis Testing, Data Visualization Software, Data Analysis, Data Science, Probability & Statistics, Statistical Analysis, Jupyter, Matplotlib, Data Cleansing, Pandas (Python Package), Statistical Inference, Statistics, Data Quality, Data Manipulation, Python Programming, Machine Learning

    4.3
    Rating, 4.3 out of 5 stars
    ·
    127 reviews

    Advanced · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    I

    IBM

    AI Workflow: Business Priorities and Data Ingestion

    Skills you'll gain: Design Thinking, Data Science, Process Design, Strategic Thinking, Data Pipelines, Data Validation, Data Processing, Workflow Management, Data Quality, Business Priorities, Pandas (Python Package), NumPy, Machine Learning, Python Programming

    4.3
    Rating, 4.3 out of 5 stars
    ·
    185 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Data Tidying and Importing with R

    Skills you'll gain: Web Scraping, Data Ethics, Data Transformation, Tidyverse (R Package), Data Wrangling, Data Cleansing, Data Manipulation, Data Collection, Data Capture, Data Pipelines, Data Integration, Personally Identifiable Information, R Programming, Exploratory Data Analysis, Information Privacy, Statistical Programming

    5
    Rating, 5 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    D

    Duke University

    Spark, Hadoop, and Snowflake for Data Engineering

    Skills you'll gain: PySpark, Snowflake Schema, Databricks, Data Pipelines, Apache Spark, MLOps (Machine Learning Operations), Apache Hadoop, Big Data, Data Warehousing, Data Quality, Data Integration, Data Processing, DevOps, Data Transformation, SQL, Python Programming

    3.9
    Rating, 3.9 out of 5 stars
    ·
    61 reviews

    Advanced · Course · 1 - 4 Weeks

  • C

    Coursera

    Data Analysis in Python: Using Pandas DataFrames

    Skills you'll gain: Pandas (Python Package), Scatter Plots, Histogram, Data Visualization, Data Manipulation, Data Import/Export, JSON, Data Cleansing, Data Visualization Software, Exploratory Data Analysis, Data Analysis, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    29 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Software Architecture for Big Data

    Skills you'll gain: Service Level, Software Engineering, Data Architecture, Web Applications, Software Architecture, Cloud Applications, Performance Testing, Scalability, Functional Requirement, Distributed Computing, Databases, Microservices, Application Deployment, Application Development, Predictive Modeling, Software Testing, System Design and Implementation, Middleware, Transaction Processing, Big Data

    Build toward a degree

    3.5
    Rating, 3.5 out of 5 stars
    ·
    102 reviews

    Advanced · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    M

    MathWorks

    Data Processing and Feature Engineering with MATLAB

    Skills you'll gain: Feature Engineering, Dimensionality Reduction, Data Integration, Exploratory Data Analysis, Data Visualization, Matlab, Data Processing, Descriptive Statistics, Data Cleansing, Data Manipulation, Histogram, Data Transformation, Text Mining, Predictive Modeling, Unstructured Data, Image Analysis, Natural Language Processing

    4.7
    Rating, 4.7 out of 5 stars
    ·
    350 reviews

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Go Beyond the Numbers: Translate Data into Insights

    Skills you'll gain: Data Storytelling, Data Visualization, Exploratory Data Analysis, Data Presentation, Data Visualization Software, Data Manipulation, Data Ethics, Tableau Software, Data Analysis, Pandas (Python Package), Data Cleansing, Data Quality, Data Processing, Data Validation, Technical Communication, Data Transformation, Python Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    878 reviews

    Advanced · Course · 1 - 3 Months

  • Status: Preview
    Preview
    T

    The State University of New York

    Big Data, Genes, and Medicine

    Skills you'll gain: Bioinformatics, Big Data, Analytics, Data Mining, Health Informatics, Biomedical Technology, Data Processing, R Programming, Predictive Modeling, Statistical Analysis, Molecular Biology, Feature Engineering, Network Analysis, Unsupervised Learning

    4.2
    Rating, 4.2 out of 5 stars
    ·
    286 reviews

    Advanced · Course · 1 - 3 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, Regression Analysis, Scikit Learn (Machine Learning Library), Predictive Modeling, Cloud Management, Machine Learning, Artificial Intelligence and Machine Learning (AI/ML), Supervised Learning, Virtual Machines, Application Deployment, Data Pipelines

    4.3
    Rating, 4.3 out of 5 stars
    ·
    176 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Scientist Career Guide and Interview Preparation: IBM
  • Pandas with Python: Analyze, Transform & Export Data: EDUCBA
  • AI Workflow: Data Analysis and Hypothesis Testing: IBM
  • AI Workflow: Business Priorities and Data Ingestion: IBM
  • Data Tidying and Importing with R: Duke University
  • Spark, Hadoop, and Snowflake for Data Engineering: Duke University
  • Data Analysis in Python: Using Pandas DataFrames: Coursera
  • Software Architecture for Big Data: University of Colorado Boulder
  • Data Processing and Feature Engineering with MATLAB: MathWorks
  • Go Beyond the Numbers: Translate Data into Insights: Google

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