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    Results for "data manipulation"

    • Amazon Web Services

      Building Data Lakes on AWS

      Skills you'll gain: Data Lakes, Data Visualization, Data Architecture, Amazon Web Services, Data Infrastructure, Data Warehousing, Data Processing, Amazon S3, Query Languages, AWS Identity and Access Management (IAM), Data Management, Data Transformation, Data Governance, Data Import/Export, Data Storage

      4.7
      Rating, 4.7 out of 5 stars
      ·
      291 reviews

      Beginner · Course · 1 - 3 Months

    • Johns Hopkins University

      Managing Data Analysis

      Skills you'll gain: Exploratory Data Analysis, Data Analysis, Data Presentation, Data Management, Management Training And Development, Technical Communication, Team Management, Analytical Skills, Team Leadership, Statistical Inference, Statistical Modeling, Communication

      4.6
      Rating, 4.6 out of 5 stars
      ·
      3.4K reviews

      Mixed · Course · 1 - 4 Weeks

    • Whizlabs

      Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate

      Skills you'll gain: AWS SageMaker, AWS CloudFormation, Amazon S3, Serverless Computing, Amazon DynamoDB, Amazon CloudWatch, Cloud Security, Data Security, Amazon Redshift, AWS Kinesis, Data Integration, Cloud Storage, Amazon Web Services, Data Lakes, Data Storage, Databases, Apache Airflow, Cloud Computing Architecture, Infrastructure as Code (IaC), Cloud Engineering

      4.6
      Rating, 4.6 out of 5 stars
      ·
      11 reviews

      Intermediate · Specialization · 3 - 6 Months

    • IBM

      Generative AI: Elevate Your Data Science Career

      Skills you'll gain: Generative AI, Exploratory Data Analysis, Data Ethics, Feature Engineering, Predictive Modeling, Prompt Engineering, Large Language Modeling, Data Storytelling, Data Modeling, Data Presentation, Data Synthesis, Data Analysis, Data Cleansing, Data Visualization Software, Data Manipulation

      4.6
      Rating, 4.6 out of 5 stars
      ·
      178 reviews

      Intermediate · Course · 1 - 4 Weeks

    • University of Pennsylvania

      AI Applications in Marketing and Finance

      Skills you'll gain: AI Personalization, Big Data, Credit Risk, Risk Management, Personalized Service, Digital Transformation, Business Risk Management, Customer Insights, Machine Learning, Marketing Analytics, Data Mining, Customer Engagement, Risk Analysis, Advanced Analytics, Data-Driven Decision-Making, Anomaly Detection, MarTech, Financial Data, Consumer Behaviour, Customer experience improvement

      4.6
      Rating, 4.6 out of 5 stars
      ·
      398 reviews

      Mixed · Course · 1 - 4 Weeks

    • IBM

      Introduction to Computer Vision and Image Processing

      Skills you'll gain: Computer Vision, Image Analysis, Artificial Neural Networks, IBM Cloud, Keras (Neural Network Library), Cloud Applications, Deep Learning, Tensorflow, Visualization (Computer Graphics), PyTorch (Machine Learning Library), Artificial Intelligence and Machine Learning (AI/ML), Computer Programming, Application Deployment, Augmented Reality, Machine Learning, Data Processing

      4.3
      Rating, 4.3 out of 5 stars
      ·
      1.4K reviews

      Beginner · Course · 1 - 3 Months

    • University of Illinois Urbana-Champaign

      Financial Analysis - Skills for Success

      Skills you'll gain: Financial Statements, Financial Statement Analysis, Financial Forecasting, Financial Accounting, Variance Analysis, Financial Analysis, Income Statement, Balance Sheet, Performance Measurement, Management Accounting, Return On Investment, Revenue Forecasting, Cash Flow Forecasting, Financial Management, Cost Management, Financial Data, Budgeting, Finance, Accounting, Business Valuation

      4.7
      Rating, 4.7 out of 5 stars
      ·
      416 reviews

      Beginner · Specialization · 1 - 3 Months

    • Google Cloud

      Build, Train and Deploy ML Models with Keras on Google Cloud

      Skills you'll gain: Tensorflow, Keras (Neural Network Library), Google Cloud Platform, Data Pipelines, MLOps (Machine Learning Operations), Application Deployment, Deep Learning, Artificial Neural Networks, Data Processing, Scalability, Applied Machine Learning, Machine Learning, Data Transformation

      4.4
      Rating, 4.4 out of 5 stars
      ·
      2.8K reviews

      Intermediate · Course · 1 - 3 Months

    • Status: Free
      Free

      Northwestern University

      Fundamentals of Digital Image and Video Processing

      Skills you'll gain: Image Analysis, Digital Communications, Computer Vision, Data Processing, Visualization (Computer Graphics), Medical Imaging, Electrical and Computer Engineering, Motion Graphics, Linear Algebra, Color Theory, Bayesian Statistics, Applied Mathematics, Sampling (Statistics), Algorithms

      4.6
      Rating, 4.6 out of 5 stars
      ·
      1.8K reviews

      Mixed · Course · 1 - 3 Months

    • Status: Free
      Free

      Technical University of Denmark (DTU)

      Antimicrobial resistance - theory and methods

      Skills you'll gain: Laboratory Testing, Quality Assurance, Microbiology, Infectious Diseases, Bioinformatics, Medical Laboratory, Clinical Laboratory Science, Epidemiology, Public Health and Disease Prevention, Data Quality, Medical Science and Research, Biology, Public Health, Pharmacology, Molecular Biology

      4.7
      Rating, 4.7 out of 5 stars
      ·
      2.5K reviews

      Intermediate · Course · 1 - 3 Months

    • University of Colorado Boulder

      Excel/VBA for Creative Problem Solving, Part 1

      Skills you'll gain: Excel Macros, Programming Principles, Visual Basic (Programming Language), Data Structures, Program Development, Computer Programming, Spreadsheet Software, Automation, Algorithms, Debugging, Data Management, Data Cleansing

      4.8
      Rating, 4.8 out of 5 stars
      ·
      4.3K reviews

      Beginner · Course · 1 - 3 Months

    • CertNexus

      Extract, Transform, and Load Data

      Skills you'll gain: Extract, Transform, Load, Data Manipulation, Data Cleansing, Data Processing, Data Transformation, Data Warehousing, Data Integration, Data Quality, Data Import/Export, Data Collection

      4.7
      Rating, 4.7 out of 5 stars
      ·
      31 reviews

      Intermediate · Course · 1 - 4 Weeks

    Searches related to data manipulation

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    1…616263…597

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

    • Building Data Lakes on AWS: Amazon Web Services
    • Managing Data Analysis: Johns Hopkins University
    • Exam Prep (DEA-C01): AWS Certified Data Engineer - Associate: Whizlabs
    • Generative AI: Elevate Your Data Science Career: IBM
    • AI Applications in Marketing and Finance: University of Pennsylvania
    • Introduction to Computer Vision and Image Processing: IBM
    • Financial Analysis - Skills for Success: University of Illinois Urbana-Champaign
    • Build, Train and Deploy ML Models with Keras on Google Cloud: Google Cloud
    • Fundamentals of Digital Image and Video Processing: Northwestern University
    • Antimicrobial resistance - theory and methods: Technical University of Denmark (DTU)

    Frequently Asked Questions about Data Manipulation

    Data manipulation is the part of data science that organizes or changes data into formatting that's easier to read and use for analytical purposes. It may involve advanced techniques and tools, such as relational algebra or SQL to manage the data. It may also require less advanced skills, such as alphabetization or spreadsheets to compile the data for the end user. This type of data analysis makes it possible for a data scientist to pull pertinent information for decision-making purposes out of a large, otherwise disorganized mass of data.‎

    If you have a passion for using computers and solving complex problems and puzzles, learning data manipulation may lead to a variety of opportunities as a data scientist. These opportunities include becoming a data analyst, a data engineer, or a machine learning engineer. Tasks you might encounter during a typical workday in these fields include cluster analysis and creating a pivot table or a lookup table. If you want a very hands-on career that puts you in control of finding the most essential items in a company's data, learning data manipulation will help you get started in the field.‎

    Taking online data manipulation courses on Coursera can help you advance in your data science career by improving the skills and tools you have at your disposal, making the information you're able to provide for your employer more accurate and valuable. If you aren't already working in the data science field, taking online courses in data manipulation can serve as a place to begin your industry-specific data analysis education. Courses are available to match your current knowledge base, so whether you're a beginner learning about data manipulation and data science for the first time, or you're approaching courses from an intermediate or advanced level, you can jump in and start learning at your convenience.‎

    You need to have strong math skills and at least some computer skills to begin learning data manipulation. Solid reading and critical thinking skills will also help you when you delve into these courses. The data manipulation courses are set up for beginners in the data science field, providing knowledge that's needed to build on as you advance in the data analysis field. Some specific skills you can expect to develop while learning about data manipulation at your own include data visualization, SQL, and Python.‎

    Online Data Manipulation courses offer a convenient and flexible way to enhance your knowledge or learn new Data Manipulation skills. Choose from a wide range of Data Manipulation courses offered by top universities and industry leaders tailored to various skill levels.‎

    When looking to enhance your workforce's skills in Data Manipulation, it's crucial to select a course that aligns with their current abilities and learning objectives. Our Skills Dashboard is an invaluable tool for identifying skill gaps and choosing the most appropriate course for effective upskilling. For a comprehensive understanding of how our courses can benefit your employees, explore the enterprise solutions we offer. Discover more about our tailored programs at Coursera for Business here.‎

    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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