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  • Data Manipulation

Data Manipulation Courses

Data manipulation courses can help you learn data cleaning, transformation techniques, and exploratory data analysis. You can build skills in using functions for data aggregation, filtering datasets, and visualizing information effectively. Many courses introduce tools like Python, R, and SQL, that support handling large datasets and performing complex analyses. You'll also explore libraries such as Pandas and NumPy, which streamline data manipulation tasks and enhance your ability to derive insights from raw data.


Popular Data Manipulation Courses and Certifications


  • N

    National Taiwan University

    機器學習技法 (Machine Learning Techniques)

    Skills you'll gain: Random Forest Algorithm, Deep Learning, Decision Tree Learning, Machine Learning Algorithms, Machine Learning, Artificial Neural Networks, Supervised Learning, Feature Engineering, Classification Algorithms, Dimensionality Reduction, Model Evaluation, Logistic Regression, Regression Analysis

    4.9
    Rating, 4.9 out of 5 stars
    ·
    35 reviews

    Intermediate · Course · 3 - 6 Months

  • E

    EDUCBA

    Develop a Ride-Sharing App Using Swift and Firebase

    Skills you'll gain: Apple iOS, Mobile Development, Apple Xcode, Swift Programming, UI Components, User Interface (UI), Application Development, User Interface (UI) Design, Authentications, Secure Coding, Application Frameworks, Geospatial Information and Technology, Program Development, Real Time Data, Storyboarding, Databases, Debugging, Data Validation

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    Interpretable Machine Learning Applications: Part 4

    Skills you'll gain: Applied Machine Learning, Data Preprocessing, Data Analysis, Data Import/Export, Google Cloud Platform, Model Evaluation, Decision Tree Learning, Exploratory Data Analysis, Machine Learning, Classification Algorithms, Random Forest Algorithm, Statistical Visualization, Responsible AI

    4.7
    Rating, 4.7 out of 5 stars
    ·
    19 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • G

    Google

    Satisfaction Guaranteed: Develop Customer Loyalty Online

    Skills you'll gain: Client Services, Loyalty Programs, Customer Retention, E-Commerce, Brand Loyalty, Customer Relationship Management, Customer Engagement, Digital Marketing, Product Improvement, Web Analytics and SEO, Marketing Analytics, Performance Analysis, Customer Insights, Portfolio Management, Presentations, Generative AI Agents, Key Performance Indicators (KPIs), Business Metrics

    4.8
    Rating, 4.8 out of 5 stars
    ·
    6K reviews

    Beginner · Course · 1 - 4 Weeks

  • K

    Kennesaw State University

    Six Sigma Yellow Belt

    Skills you'll gain: Six Sigma Methodology, Lean Six Sigma, Root Cause Analysis, Lean Methodologies, Process Improvement, Data Collection, Quality Improvement, Process Optimization, Correlation Analysis, Statistical Hypothesis Testing, Kaizen Methodology, Process Analysis, Probability Distribution, Regression Analysis, Business Process, Statistical Process Controls, Quality Management, Team Management, Continuous Improvement Process, Project Management

    4.7
    Rating, 4.7 out of 5 stars
    ·
    4.3K reviews

    Beginner · Specialization · 3 - 6 Months

  • E

    Edureka

    Applied Agentic AI Pipelines with LangChain

    Skills you'll gain: Data Transformation, Large Language Modeling, Data Preprocessing, Generative AI, Workflow Management, Artificial Intelligence, Responsible AI, Embeddings, Context Management, Automation, Metadata Management, JSON

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Customer Analytics & Intelligence

    Skills you'll gain: Customer Retention, HubSpot CRM, Brand Awareness, Surveys, Survey Creation, Marketing Analytics, Google Analytics, Customer Analysis, Customer Service, Customer Relationship Management (CRM) Software, Loyalty Programs, Customer Insights, Customer Relationship Management, Customer Data Management, A/B Testing, AI Product Strategy, Target Audience, Data Analysis, Digital Marketing, Performance Measurement

    4.5
    Rating, 4.5 out of 5 stars
    ·
    129 reviews

    Intermediate · Specialization · 3 - 6 Months

  • U

    University of Michigan

    Introduction to Structured Query Language (SQL)

    Skills you'll gain: Database Design, SQL, MySQL, Relational Databases, Databases, Data Modeling, Development Environment, PHP (Scripting Language), Software Installation

    4.8
    Rating, 4.8 out of 5 stars
    ·
    5.5K reviews

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Graduate Admission Prediction with Pyspark ML

    Skills you'll gain: Data Cleansing, PySpark, Data Manipulation, Data Preprocessing, Apache Spark, Google Cloud Platform, Data Analysis, Applied Machine Learning, Predictive Modeling, Big Data, Machine Learning, Regression Analysis

    4.7
    Rating, 4.7 out of 5 stars
    ·
    34 reviews

    Intermediate · Guided Project · Less Than 2 Hours

  • I

    IE Business School

    Marketing Strategy

    Skills you'll gain: Survey Creation, Surveys, Marketing Planning, Market Research, Business Research, Product Marketing, Consumer Behaviour, Value Propositions, Market Analysis, Marketing, Business Planning, Marketing Channel, Peer Review, Case Studies, Product Strategy, Target Market, Research Design, Data Analysis, Marketing Communications, Marketing Strategies

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

    Beginner · Specialization · 3 - 6 Months

  • C

    Coursera

    SEO and Content Optimization for Digital Marketing

    Skills you'll gain: Content Creation, Social Media Content, Search Engine Optimization, Digital Content, Social Media Marketing, Marketing Design, Web Analytics and SEO, Graphic Design, Content Strategy, Style Guides, Content Marketing, Content Management, Marketing Materials, Branding, Brand Management, Auditing, Sales Process, Report Writing

    Beginner · Course · 1 - 3 Months

  • S

    SAS

    Machine Learning Using SAS Viya

    Skills you'll gain: Data Preprocessing, Model Deployment, Model Evaluation, Supervised Learning, Decision Tree Learning, Applied Machine Learning, Predictive Modeling, Random Forest Algorithm, Feature Engineering, SAS (Software), Machine Learning, Data Analysis, Business Analysis, Artificial Neural Networks, Classification Algorithms, No-Code Development, Statistical Programming

    4.7
    Rating, 4.7 out of 5 stars
    ·
    102 reviews

    Intermediate · Course · 1 - 3 Months

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

  • 機器學習技法 (Machine Learning Techniques): National Taiwan University
  • Develop a Ride-Sharing App Using Swift and Firebase: EDUCBA
  • Interpretable Machine Learning Applications: Part 4: Coursera
  • Satisfaction Guaranteed: Develop Customer Loyalty Online: Google
  • Six Sigma Yellow Belt: Kennesaw State University
  • Applied Agentic AI Pipelines with LangChain: Edureka
  • Customer Analytics & Intelligence: Coursera
  • Introduction to Structured Query Language (SQL): University of Michigan
  • Graduate Admission Prediction with Pyspark ML: Coursera
  • Marketing Strategy: IE Business School

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