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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


  • 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
    ·
    178 reviews

    Intermediate · Course · 1 - 4 Weeks

  • M

    Microsoft

    Visualization for Data Analysis with Power BI

    Skills you'll gain: Power BI, Data Ethics, Data Visualization Software, Data Analysis, Statistical Analysis, Correlation Analysis, Business Intelligence, Advanced Analytics, Data Analysis Expressions (DAX), Analytics, Data-Driven Decision-Making, Exploratory Data Analysis, Trend Analysis, Time Series Analysis and Forecasting, Scatter Plots, Forecasting, Geospatial Information and Technology, Root Cause Analysis

    4.8
    Rating, 4.8 out of 5 stars
    ·
    28 reviews

    Beginner · Course · 1 - 4 Weeks

  • C

    Coursera

    TypeScript Variables and Data Types

    Skills you'll gain: TypeScript, Programming Principles, Web Development Tools, Javascript, Web Language

    4.4
    Rating, 4.4 out of 5 stars
    ·
    101 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • J

    Johns Hopkins University

    Gender Foundations in Health Data: A Data for Health Course

    Skills you'll gain: Health Equity, Health Disparities, Public Health, Epidemiology, Social Determinants Of Health, Data Collection, Health Policy, Health Informatics, Data Analysis, Research, Surveys

    4.6
    Rating, 4.6 out of 5 stars
    ·
    9 reviews

    Beginner · Course · 1 - 4 Weeks

  • U

    University of Pittsburgh

    Big Data Processing with Hadoop and Spark

    Skills you'll gain: Apache Hadoop, Apache Spark, PySpark, Data Pipelines, Distributed Computing, Big Data, Apache Hive, Data Processing, Data Storage Technologies, Data Storage, Scikit Learn (Machine Learning Library), Predictive Modeling, Scalability, Data Management, Data Science, Data Transformation, Information Technology, Data Analysis, Python Programming

    Build toward a degree

    Intermediate · Course · 1 - 4 Weeks

  • C

    Coursera

    Essential Causal Inference Techniques for Data Science

    Skills you'll gain: Regression Analysis, Data Science, Machine Learning Methods, R Programming, Statistical Inference, Applied Machine Learning, Machine Learning, Statistical Methods, Advanced Analytics, Data Analysis, Predictive Modeling

    4.5
    Rating, 4.5 out of 5 stars
    ·
    39 reviews

    Beginner · Guided Project · Less Than 2 Hours

  • G

    Google Cloud

    Data Catalog: Qwik Start

    Skills you'll gain: Metadata Management, Google Cloud Platform, Data Mining, Big Data, Data Management, Cloud API

    Beginner · Project · Less Than 2 Hours

  • I

    IBM

    BI Foundations with SQL, ETL and Data Warehousing

    Skills you'll gain: Data Warehousing, Extract, Transform, Load, Linux Commands, Data Pipelines, SQL, IBM Cognos Analytics, Apache Kafka, Apache Airflow, Bash (Scripting Language), Shell Script, IBM DB2, Data Visualization, Dashboard, File Management, Star Schema, Business Intelligence, Interactive Data Visualization, Relational Databases, Stored Procedure, Databases

    4.6
    Rating, 4.6 out of 5 stars
    ·
    25K reviews

    Beginner · Specialization · 3 - 6 Months

  • K

    Knowledge Accelerators

    Intermediate Excel: Data Modeling, Analysis, and Dashboards

    Skills you'll gain: Pivot Tables And Charts, Spreadsheet Software, Data Analysis Expressions (DAX), Data Analysis, Analytics, Business Modeling, Business Analysis, Data Storytelling, Data Presentation, Microsoft 365, Trend Analysis, Data Security, Data Entry, Key Performance Indicators (KPIs), Data Management, Productivity

    Intermediate · Course · 1 - 3 Months

  • D

    Duke University

    Scripting with Python and SQL for Data Engineering

    Skills you'll gain: Web Scraping, MySQL, SQL, JSON, Scripting, Data Persistence, Data Manipulation, Data Structures, Database Management, Databases, Data Import/Export, Data Capture, Spatial Analysis, Python Programming, Hypertext Markup Language (HTML)

    4.4
    Rating, 4.4 out of 5 stars
    ·
    109 reviews

    Intermediate · Course · 1 - 4 Weeks

  • F

    Fred Hutchinson Cancer Center

    Researcher's guide to DNA sequencing data

    Skills you'll gain: Bioinformatics, Molecular Biology, Data Collection, Data Processing, Research, Laboratory Techniques, Analysis, Research Design

    3.4
    Rating, 3.4 out of 5 stars
    ·
    7 reviews

    Intermediate · Course · 1 - 3 Months

  • M

    Microsoft

    Generative AI for Data Science

    Skills you'll gain: Generative AI, Large Language Modeling, Data Ethics, Transfer Learning, Prompt Engineering, Responsible AI, Feature Engineering, Model Deployment, AI Security, Advertising, Marketing, Information Privacy

    4.6
    Rating, 4.6 out of 5 stars
    ·
    26 reviews

    Intermediate · Course · 1 - 3 Months

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

  • Microsoft Azure Machine Learning for Data Scientists: Microsoft
  • Visualization for Data Analysis with Power BI: Microsoft
  • TypeScript Variables and Data Types: Coursera
  • Gender Foundations in Health Data: A Data for Health Course: Johns Hopkins University
  • Big Data Processing with Hadoop and Spark: University of Pittsburgh
  • Essential Causal Inference Techniques for Data Science: Coursera
  • Data Catalog: Qwik Start: Google Cloud
  • BI Foundations with SQL, ETL and Data Warehousing: IBM
  • Intermediate Excel: Data Modeling, Analysis, and Dashboards: Knowledge Accelerators
  • Scripting with Python and SQL for Data Engineering: Duke University

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