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    • Data Analyst

    Data Analyst Courses Online

    Understand data analyst roles and responsibilities. Learn to collect, process, and analyze data to support business decision-making.

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    Explore the Data Analyst Course Catalog

    • M

      Microsoft

      Microsoft Azure Data Fundamentals DP-900 Exam Prep

      Skills you'll gain: Azure Synapse Analytics, Microsoft Azure, Power BI, Databricks, Data Processing, Cloud Services, Data Warehousing, Database Systems, Databases, NoSQL, Database Administration, Relational Databases, MySQL, Data Store, SQL, Cloud Storage, Database Management, Data Storage, Data Lakes, Database Theory

      4.6
      Rating, 4.6 out of 5 stars
      ·
      825 reviews

      Beginner · Specialization · 3 - 6 Months

    • I

      IBM

      Introduction to Data Engineering

      Skills you'll gain: Data Store, Extract, Transform, Load, Data Architecture, Data Pipelines, Big Data, Data Warehousing, Data Governance, Apache Hadoop, Relational Databases, Apache Spark, Data Lakes, Databases, SQL, NoSQL, Data Security

      4.7
      Rating, 4.7 out of 5 stars
      ·
      3.2K reviews

      Beginner · Course · 1 - 4 Weeks

    • J

      Johns Hopkins University

      R Programming

      Skills you'll gain: Statistical Analysis, R Programming, Statistical Programming, Data Analysis, Debugging, Simulations, Computer Programming Tools, Program Development, Data Structures, Performance Tuning, Data Import/Export

      4.5
      Rating, 4.5 out of 5 stars
      ·
      22K reviews

      Intermediate · Course · 1 - 4 Weeks

    • G

      Google

      The Path to Insights: Data Models and Pipelines

      Skills you'll gain: Data Modeling, Database Design, Extract, Transform, Load, Data Warehousing, Performance Tuning, Data Pipelines, Data Integrity, Business Intelligence, Business Process, Data Mart, Data Validation, Statistical Reporting, Data Quality, SQL

      4.7
      Rating, 4.7 out of 5 stars
      ·
      636 reviews

      Advanced · Course · 1 - 4 Weeks

    • Status: Free
      Free
      S

      Stanford University

      Introduction to Statistics

      Skills you'll gain: Descriptive Statistics, Statistics, Statistical Methods, Sampling (Statistics), Statistical Analysis, Data Analysis, Statistical Modeling, Statistical Hypothesis Testing, Regression Analysis, Statistical Inference, Probability, Exploratory Data Analysis, Quantitative Research, Data Collection, Probability Distribution

      4.6
      Rating, 4.6 out of 5 stars
      ·
      4K reviews

      Beginner · Course · 1 - 3 Months

    • D
      A

      Multiple educators

      DeepLearning.AI Data Engineering

      Skills you'll gain: Apache Airflow, Data Modeling, Data Pipelines, Data Storage, Data Storage Technologies, Data Architecture, Data Transformation, Requirements Analysis, Data Processing, Data Warehousing, Query Languages, Apache Hadoop, Extract, Transform, Load, Data Lakes, Amazon Web Services, Apache Spark, Database Systems, Data Integration, AWS Kinesis, Infrastructure as Code (IaC)

      4.8
      Rating, 4.8 out of 5 stars
      ·
      444 reviews

      Intermediate · Professional Certificate · 3 - 6 Months

    • Status: New AI skills
      New AI skills
      G

      Google

      Google IT Support

      Skills you'll gain: Computer Networking, Package and Software Management, Network Security, Network Troubleshooting, Systems Administration, Cloud Infrastructure, Network Administration, IT Infrastructure, TCP/IP, Information Systems Security, File Systems, Microsoft Windows, Desktop Support, Network Protocols, Lightweight Directory Access Protocols, Cybersecurity, Encryption, Computer Hardware, Technical Support, Software Installation

      Build toward a degree

      4.8
      Rating, 4.8 out of 5 stars
      ·
      202K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • G

      Google

      Google Advanced Data Analytics Capstone

      Skills you'll gain: Regression Analysis, Data Visualization, Statistical Analysis, Advanced Analytics, Data Analysis, Business Analytics, Data-Driven Decision-Making, Predictive Modeling, Machine Learning Methods, Interviewing Skills, Portfolio Management

      4.8
      Rating, 4.8 out of 5 stars
      ·
      1.2K reviews

      Advanced · Course · 1 - 4 Weeks

    • I

      IBM

      Exploratory Data Analysis for Machine Learning

      Skills you'll gain: Exploratory Data Analysis, Feature Engineering, Statistical Inference, Data Processing, Data Access, Anomaly Detection, Statistical Analysis, Data Analysis, Data Cleansing, Data Manipulation, Machine Learning, Probability & Statistics, Data Transformation, Workflow Management, Scalability

      4.6
      Rating, 4.6 out of 5 stars
      ·
      2.2K reviews

      Intermediate · Course · 1 - 3 Months

    • M

      Meta

      Meta Database Engineer

      Skills you'll gain: MySQL, Database Design, Version Control, Database Management Systems, Database Management, MySQL Workbench, Extract, Transform, Load, Data Modeling, Data Structures, SQL, Unix Commands, Relational Databases, Databases, Git (Version Control System), Database Systems, Stored Procedure, Object Oriented Programming (OOP), Unit Testing, Algorithms, Django (Web Framework)

      4.6
      Rating, 4.6 out of 5 stars
      ·
      7.1K reviews

      Beginner · Professional Certificate · 3 - 6 Months

    • M

      Microsoft

      Data Modeling in Power BI

      Skills you'll gain: Data Analysis Expressions (DAX), Data Modeling, Star Schema, Power BI, Database Design, Data Transformation, Time Series Analysis and Forecasting, Performance Tuning

      4.3
      Rating, 4.3 out of 5 stars
      ·
      693 reviews

      Beginner · Course · 1 - 4 Weeks

    • R

      Rice University

      Introduction to Data Analysis Using Excel

      Skills you'll gain: Microsoft Excel, Pivot Tables And Charts, Graphing, Spreadsheet Software, Excel Formulas, Data Analysis, Histogram, Scatter Plots, Data Visualization Software, Data Manipulation, Data Import/Export

      4.7
      Rating, 4.7 out of 5 stars
      ·
      10K reviews

      Mixed · Course · 1 - 4 Weeks

    Data Analyst learners also search

    Data
    R
    Data Science
    Data Analytics
    Data Analysis
    R Programming
    Applied Data Science
    Beginner Data Science
    1…101112…631

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

    • Microsoft Azure Data Fundamentals DP-900 Exam Prep: Microsoft
    • Introduction to Data Engineering: IBM
    • R Programming: Johns Hopkins University
    • The Path to Insights: Data Models and Pipelines: Google
    • Introduction to Statistics: Stanford University
    • DeepLearning.AI Data Engineering: DeepLearning.AI
    • Google IT Support: Google
    • Google Advanced Data Analytics Capstone: Google
    • Exploratory Data Analysis for Machine Learning: IBM
    • Meta Database Engineer: Meta

    Frequently Asked Questions about Data Analyst

    A data analyst is a person whose job is to gather and interpret data in order to solve a specific problem. The role includes plenty of time spent with data, but entails communicating findings too. A data analyst gathers, cleans, and studies data sets to help solve problems. Read our career guide article about what data analysts do.‎

    It is valuable to learn about how to be a data analyst because companies in almost every industry would benefit from the work done by data analysts. The insights brought forth by data analysts are extremely valuable to employers who want to learn more about customers, marketing trends, and future scenarios. Data analysts are responsible for the ground-level work of seeing trends and patterns that help businesses eventually decide to make major organizational moves.‎

    Typical career opportunities for data analysts are in major insurance companies; large technology companies like Oracle, IBM, and Siemens; financial credit bureaus; consumer and B2B technology firms; financial firms; and cloud data companies. Data analysts can find jobs in a variety of roles in creative fields as well, as data is researched and used in the marketing, advertising, broadcasting, and film industries too.‎

    When you take online courses to be a data analyst, you have the opportunity to learn how to use statistical techniques to acquire data from key sources. You might also uncover key data analysis concepts in Python programming, data science, pivot tables, data visualization, and more. Online courses can expose you to new insights on how to identify, analyze, filter, clean, and report on data that show trends or patterns that have been researched in complex data sets.‎

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

    When looking to enhance your workforce's skills in Data Analyst, 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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