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  • Data Validation Techniques

Results for "data validation techniques"


  • C

    Coursera

    Data Manipulation with dplyr in R

    Skills you'll gain: Data Manipulation, Tidyverse (R Package), Data Wrangling, Data Analysis, R Programming, Exploratory Data Analysis, Statistical Analysis

    4.6
    Rating, 4.6 out of 5 stars
    ·
    22 reviews

    Beginner · Guided Project · Less Than 2 Hours

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

    EDUCBA

    Big Data Analytics with Hive, Pig & MapReduce

    Skills you'll gain: Apache Hive, Big Data, Database Design, Extensible Markup Language (XML), Databases, Apache Hadoop, Analytics, Social Media, Data Processing, Social Media Content, Data Management, Data Analysis, Data Integration, Data Transformation

    Mixed · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    L

    LearnKartS

    AWS Certified Data Engineer Associate

    Skills you'll gain: AWS Kinesis, AWS SageMaker, Amazon CloudWatch, Serverless Computing, Containerization, Amazon Web Services, Data Migration, Amazon DynamoDB, Amazon S3, AWS CloudFormation, Amazon Redshift, Infrastructure as Code (IaC), CI/CD, SQL, Extract, Transform, Load, Real Time Data, Devops Tools, Cloud Security, AWS Identity and Access Management (IAM), Data Processing

    Beginner · Specialization · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Michigan

    Applied Plotting, Charting & Data Representation in Python

    Skills you'll gain: Matplotlib, Data Visualization, Data Visualization Software, Interactive Data Visualization, Scientific Visualization, Visualization (Computer Graphics), Statistical Visualization, Data Presentation, Graphing, Scatter Plots, Data Manipulation, Histogram, NumPy, Pandas (Python Package), Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    6.3K reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    P

    Packt

    NumPy, Matplotlib & Pandas – Data Science Prerequisites

    Skills you'll gain: NumPy, Pandas (Python Package), Data Manipulation, Scatter Plots, Jupyter, Data Visualization Software, Machine Learning, Data Science, Data Import/Export, Classification And Regression Tree (CART), Linear Algebra, Probability Distribution, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    7 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    I

    IBM

    Introduction to R Programming for Data Science

    Skills you'll gain: Data Manipulation, Web Scraping, R Programming, Data Analysis, Data Science, Data Structures, Data Import/Export, Exploratory Data Analysis, Programming Principles, Jupyter, Integrated Development Environments

    4.5
    Rating, 4.5 out of 5 stars
    ·
    585 reviews

    Beginner · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    U

    University of Illinois Urbana-Champaign

    Applying Data Analytics in Marketing

    Skills you'll gain: Marketing Analytics, Advanced Analytics, Customer Retention, Analytics, Predictive Modeling, Marketing, Data Analysis, Social Network Analysis, Data Ethics, Customer Insights, Market Analysis, Text Mining, Predictive Analytics, Responsible AI, Consumer Behaviour, Pandas (Python Package), Marketing Strategy and Techniques, Digital Marketing, Machine Learning, Generative AI

    Build toward a degree

    4.6
    Rating, 4.6 out of 5 stars
    ·
    188 reviews

    Intermediate · Course · 1 - 4 Weeks

  • Status: New
    New
    Status: Free Trial
    Free Trial
    G

    Google

    Introducing Data Analytics and Analytical Thinking

    Skills you'll gain: Business Analytics

    4.7
    Rating, 4.7 out of 5 stars
    ·
    15 reviews

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Python Fundamentals: Apply Data Structures

    Skills you'll gain: Data Structures, Python Programming, Algorithms, Data Manipulation, Computational Thinking, Programming Principles, Data Processing, Data Dictionary, Computer Programming

    Mixed · Course · 1 - 4 Weeks

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

    Packt

    Data Processing and Exploration with NumPy & Pandas

    Skills you'll gain: Pivot Tables And Charts, Data Visualization, Data Analysis, Data Transformation, Exploratory Data Analysis, Data Cleansing, Data Import/Export

    Intermediate · Course · 1 - 4 Weeks

  • Status: Preview
    Preview
    I

    Illinois Tech

    Data Modeling and Applications

    Skills you'll gain: Database Management Systems, Database Design, Database Architecture and Administration, Databases, Relational Databases, SQL, Data Modeling, Query Languages, Data Integrity, Data Manipulation, Data Security

    Build toward a degree

    Beginner · Course · 1 - 3 Months

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

    EDUCBA

    Python for Data Science: Real Projects & Analytics

    Skills you'll gain: Descriptive Statistics, Feature Engineering, Probability & Statistics, Supervised Learning, Statistical Hypothesis Testing, Exploratory Data Analysis, Box Plots, Regression Analysis, Statistics, Predictive Modeling, Time Series Analysis and Forecasting, Data Science, Histogram, Data Visualization, Statistical Analysis, Forecasting, Database Application, Integrated Development Environments, Computer Networking, Python Programming

    5
    Rating, 5 out of 5 stars
    ·
    7 reviews

    Beginner · Specialization · 3 - 6 Months

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

  • Data Manipulation with dplyr in R: Coursera
  • Big Data Analytics with Hive, Pig & MapReduce: EDUCBA
  • AWS Certified Data Engineer Associate: LearnKartS
  • Applied Plotting, Charting & Data Representation in Python: University of Michigan
  • NumPy, Matplotlib & Pandas – Data Science Prerequisites: Packt
  • Introduction to R Programming for Data Science: IBM
  • Applying Data Analytics in Marketing: University of Illinois Urbana-Champaign
  • Introducing Data Analytics and Analytical Thinking: Google
  • Python Fundamentals: Apply Data Structures: EDUCBA
  • Data Processing and Exploration with NumPy & Pandas: Packt

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