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  • Data Wrangling

Results for "data wrangling"


  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python

    Skills you'll gain: Matplotlib, Web Scraping, Pivot Tables And Charts, Pandas (Python Package), Data Integration, Statistical Visualization, Data Manipulation, Exploratory Data Analysis, Data Wrangling, Data Visualization, Data Transformation, Data Cleansing, Data Preprocessing, Data Presentation, Plot (Graphics), Data Visualization Software, Statistical Analysis, Seaborn, NumPy, Python Programming

    4.5
    Rating, 4.5 out of 5 stars
    ·
    38 reviews

    Beginner · Specialization · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Fundamental Tools of Data Wrangling

    Skills you'll gain: Pandas (Python Package), Data Wrangling, NumPy, Data Visualization, Data Cleansing, Data Structures, Data Analysis, Data Manipulation, Data Preprocessing, Data Transformation, Exploratory Data Analysis, Statistical Analysis, Jupyter, Programming Principles, Python Programming, Scripting

    4.5
    Rating, 4.5 out of 5 stars
    ·
    20 reviews

    Beginner · Course · 1 - 3 Months

  • Status: New
    New
    Status: Preview
    Preview
    N

    Northeastern University

    Enterprise Data Wrangling with SQL and Python

    Mixed · Course · 1 - 4 Weeks

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

    Coursera

    SQL Data Quality, Security, and Governance

    Skills you'll gain: Data Governance, Data Strategy, Data Migration, Correlation Analysis, Security Controls, Data Quality, Data Management, Database Management, Data Infrastructure, SQL, Data Integrity, Data Security, Data Validation, Data Pipelines, Data Warehousing, Dashboard, Statistical Analysis, Cost Benefit Analysis, Auditing, Root Cause Analysis

    Advanced · Course · 3 - 6 Months

  • Status: Free Trial
    Free Trial
    U

    University of Colorado Boulder

    Data Wrangling with Python Project

    Skills you'll gain: Exploratory Data Analysis, Data Wrangling, Data Integration, Data Collection, Data Preprocessing, Data Validation, Data Cleansing, Data Quality, Data Analysis, Data Manipulation, Data Transformation, Data Pipelines, Pivot Tables And Charts, Statistical Visualization, Data Visualization, Statistical Analysis, Descriptive Statistics, Data Mining, Dimensionality Reduction

    Intermediate · Course · 1 - 3 Months

  • Status: Free Trial
    Free Trial
    G

    Google

    Process Data from Dirty to Clean

    4.8
    Rating, 4.8 out of 5 stars
    ·
    19K reviews

    Beginner · Course · 1 - 3 Months

What brings you to Coursera today?

  • Status: Preview
    Preview
    M

    Microsoft

    Mastering Data Wrangling with dplyr

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

    Beginner · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    J

    Johns Hopkins University

    Wrangling Data in the Tidyverse

    Skills you'll gain: Data Wrangling, Exploratory Data Analysis, Tidyverse (R Package), Data Manipulation, Data Transformation, Data Cleansing, R Programming, Data Preprocessing, Statistical Programming, Text Mining

    4.5
    Rating, 4.5 out of 5 stars
    ·
    33 reviews

    Mixed · Course · 1 - 3 Months

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

    Logical Operations

    Programming and Data Wrangling with VBA and Excel

    Skills you'll gain: Excel Macros, Microsoft Excel, Data Transformation, Data Import/Export, File I/O, Data Wrangling, Extensible Markup Language (XML), Data Manipulation, Visual Basic (Programming Language), Data Cleansing, Spreadsheet Software, Automation, Microsoft 365, Microsoft Office, Data Science, Query Languages, File Management, Debugging, Performance Improvement, Computer Programming

    Intermediate · Specialization · 3 - 6 Months

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

    Coursera

    Automate, Analyze, and Validate Data Quality

    Skills you'll gain: Data Validation, Data Quality, Data Governance, Data Integrity, Data Pipelines, Verification And Validation, Database Design, SQL, Failure Analysis, Scalability, Root Cause Analysis, Analytical Skills, Analysis, Statistical Analysis

    Advanced · Course · 1 - 4 Weeks

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

    Coursera

    Transform JSON & Fix Time Data

    Skills you'll gain: Data Preprocessing, Data Wrangling, Data Cleansing, Data Transformation, Data Manipulation, JSON, Pandas (Python Package), Data Quality, Extract, Transform, Load, Data Mapping, Scripting, Data Validation, Data Maintenance, Data Pipelines, Time Series Analysis and Forecasting, Data Integrity, Anomaly Detection, Reconciliation

    Intermediate · Course · 1 - 4 Weeks

  • Status: Free Trial
    Free Trial
    S

    SkillUp

    Data Privacy, Security, Governance, Risk and Compliance

    Skills you'll gain: Data Security, Data Governance, Data Architecture, Data Quality, Personally Identifiable Information, Incident Response, Security Controls, Information Privacy, Threat Detection, Law, Regulation, and Compliance, Risk Management, Cybersecurity, Compliance Management, Encryption, Data Integrity

    4.2
    Rating, 4.2 out of 5 stars
    ·
    42 reviews

    Intermediate · Course · 1 - 4 Weeks

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

  • Data Wrangling with Python: University of Colorado Boulder
  • Fundamental Tools of Data Wrangling: University of Colorado Boulder
  • Enterprise Data Wrangling with SQL and Python: Northeastern University
  • SQL Data Quality, Security, and Governance: Coursera
  • Data Wrangling with Python Project: University of Colorado Boulder
  • Process Data from Dirty to Clean: Google
  • Mastering Data Wrangling with dplyr: Microsoft
  • Wrangling Data in the Tidyverse: Johns Hopkins University
  • Programming and Data Wrangling with VBA and Excel: Logical Operations
  • Automate, Analyze, and Validate Data Quality: Coursera

Skills you can learn in Machine Learning

Python Programming (33)
Tensorflow (32)
Deep Learning (30)
Artificial Neural Network (24)
Big Data (18)
Statistical Classification (17)
Reinforcement Learning (13)
Algebra (10)
Bayesian (10)
Linear Algebra (10)
Linear Regression (9)
Numpy (9)

Frequently Asked Questions about Data Wrangling

Data wrangling is the process of cleaning, transforming, and organizing raw data into a usable format. This crucial step in data analysis ensures that data is accurate, consistent, and ready for analysis. In today's data-driven world, effective data wrangling is essential because it directly impacts the quality of insights derived from data. By mastering data wrangling, individuals can enhance their ability to make informed decisions based on reliable data.‎

Careers in data wrangling are diverse and can lead to various roles in data science, analytics, and engineering. Common job titles include Data Analyst, Data Scientist, Data Engineer, and Business Intelligence Analyst. These positions often require strong data manipulation skills and the ability to work with large datasets. As organizations increasingly rely on data to drive decisions, professionals skilled in data wrangling are in high demand.‎

To excel in data wrangling, you need a mix of technical and analytical skills. Key skills include proficiency in programming languages like Python or R, familiarity with data manipulation libraries such as Pandas or dplyr, and knowledge of SQL for database management. Additionally, understanding data visualization tools and techniques can enhance your ability to present cleaned data effectively. Strong problem-solving skills and attention to detail are also crucial in this field.‎

There are several excellent online courses for learning data wrangling. Notable options include the Data Wrangling with Python Specialization and the Fundamental Tools of Data Wrangling. These courses provide comprehensive training in data cleaning and transformation techniques, equipping you with the skills needed to handle real-world data challenges.‎

Yes. You can start learning data wrangling on Coursera for free in two ways:

  1. Preview the first module of many data wrangling courses at no cost. This includes video lessons, readings, graded assignments, and Coursera Coach (where available).
  2. Start a 7-day free trial for Specializations or Coursera Plus. This gives you full access to all course content across eligible programs within the timeframe of your trial.

If you want to keep learning, earn a certificate in data wrangling, or unlock full course access after the preview or trial, you can upgrade or apply for financial aid.‎

To learn data wrangling, start by selecting a course that aligns with your current skill level and learning goals. Engage with hands-on projects to practice your skills in real-world scenarios. Utilize online resources, such as tutorials and forums, to supplement your learning. Regular practice and application of concepts will help reinforce your understanding and build confidence in your data wrangling abilities.‎

Typical topics covered in data wrangling courses include data cleaning techniques, data transformation methods, handling missing values, and data integration. You may also learn about data formats, data types, and how to use various tools and libraries for effective data manipulation. Understanding these topics will provide a solid foundation for working with data in any analytical context.‎

For training and upskilling employees in data wrangling, courses like the Data Wrangling with MongoDB and the Wrangling Data in the Tidyverse are excellent choices. These courses are designed to equip teams with the necessary skills to handle data efficiently, fostering a data-driven culture within organizations.‎

This FAQ content has been made available for informational purposes only. Learners are advised to conduct additional research to ensure that courses and other credentials pursued meet their personal, professional, and financial goals.

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