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    • Data Analyst

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    2913 results for "data analyst"

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      IBM

      IBM Cybersecurity Analyst

      Skills you'll gain: Security Engineering, Cyberattacks, Computer Security Incident Management, Network Security, System Security, Network Model, Computer Networking, Cryptography, Security Strategy, Python Programming, System Software, Cloud Infrastructure, Human Factors (Security), Operating Systems, Computer Programming, Databases, Other Programming Languages, Cloud Computing, Cloud Engineering, DevOps, Linux, Mobile Security, Software Security, Agile Software Development, Application Development, Cloud Management, Computer Architecture, Computer Security Models, Data Analysis, Data Management, Data Structures, Data Warehousing, Database Administration, Database Application, Distributed Computing Architecture, Entrepreneurship, Finance, Leadership and Management, Marketing, Mathematics, Mobile Development, Network Analysis, Network Architecture, Networking Hardware, Regulations and Compliance, SQL, Sales, Security Software, Software Engineering, Software Testing, Statistical Programming, Strategy, Strategy and Operations, Theoretical Computer Science

      4.6

      (19.6k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      Johns Hopkins University

      Data Science

      Skills you'll gain: R Programming, Data Analysis, Statistical Programming, Data Science, General Statistics, Statistical Analysis, Probability & Statistics, Statistical Tests, Machine Learning, Exploratory Data Analysis, Basic Descriptive Statistics, Machine Learning Software, Linear Algebra, Bayesian Statistics, Correlation And Dependence, Econometrics, Estimation, Regression, Data Visualization Software, Software Visualization, Statistical Visualization, Probability Distribution, Theoretical Computer Science, Data Visualization, Interactive Data Visualization, Natural Language Processing, Plot (Graphics), Big Data, Computer Programming, Computer Programming Tools, Data Structures, Experiment, Machine Learning Algorithms, Software Engineering Tools, Spreadsheet Software, Algorithms, Application Development, Applied Machine Learning, Business Analysis, Data Management, Extract, Transform, Load, Knitr

      4.5

      (49.9k reviews)

      Beginner · Specialization · 3-6 Months

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      Coursera Project Network

      Create Charts and Dashboards Using Microsoft Excel

      Skills you'll gain: Business Analysis, Data Analysis, Data Analysis Software, Data Visualization, Microsoft Excel, Spreadsheet Software

      4.6

      (307 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

    • Free

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      The Hong Kong University of Science and Technology

      Python and Statistics for Financial Analysis

      Skills you'll gain: Business Analysis, Computer Programming, Data Analysis, Financial Analysis, Python Programming, Statistical Programming, Finance, Investment Management, Probability & Statistics, Probability Distribution, Statistical Analysis, Basic Descriptive Statistics, Correlation And Dependence, General Statistics, Regression, Risk Management, Securities Trading, Statistical Tests, Accounting, Estimation

      4.4

      (3.7k reviews)

      Intermediate · Course · 1-4 Weeks

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      Google

      Google Project Management:

      Skills you'll gain: Project Management, Strategy and Operations, Leadership and Management, Communication, Collaboration, Agile Software Development, Entrepreneurship, Software Engineering, Business Communication, Scrum (Software Development), Planning, Supply Chain and Logistics, Business Psychology, Change Management, Finance, Organizational Development, Product Management, Risk Management, Budget Management, Conflict Management, Design and Product, Human Resources, Influencing, Storytelling, Writing, Application Development, Business Process Management, Culture, Estimation, Marketing, Operations Management, Operations Research, Probability & Statistics, Problem Solving, Procurement, Product Design, Public Relations, Research and Design, Sales, Software Engineering Tools, Software Testing, Statistical Tests, Strategy, Supply Chain Systems, User Experience, Vendor Management

      4.8

      (78.4k reviews)

      Beginner · Professional Certificate · 3-6 Months

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      University of Pennsylvania

      Introduction to Finance and Accounting

      Skills you'll gain: Accounting, Financial Accounting, Finance, General Accounting, Generally Accepted Accounting Principles (GAAP), Entrepreneurship, Payments, Securities Sales, Cash Management, Decision Making, Investment Management, Securities Trading, Financial Analysis, Financial Management, Taxes, Accounts Payable and Receivable, Cost Accounting, Budget Management, Business Analysis, Data Analysis

      4.6

      (12.4k reviews)

      Beginner · Specialization · 3-6 Months

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      University of California San Diego

      Big Data

      Skills you'll gain: Data Management, Big Data, Data Analysis, Exploratory Data Analysis, Probability & Statistics, Distributed Computing Architecture, Machine Learning, Business Analysis, Statistical Programming, Data Science, Graph Theory, Mathematics, Apache, Computer Architecture, Databases, Data Analysis Software, NoSQL, Data Architecture, Machine Learning Algorithms, Business, Data Model, Data Structures, Spreadsheet Software, Data Mining, Python Programming, Data Visualization, SQL, Statistical Machine Learning, Statistical Visualization, Database Application, Information Technology, Cloud Computing, Software As A Service, Applied Machine Learning, Basic Descriptive Statistics, Computer Programming, Correlation And Dependence, Database Administration, Dimensionality Reduction, Feature Engineering, General Statistics, PostgreSQL, Regression, Statistical Analysis, Algorithms, Data Warehousing, Theoretical Computer Science

      4.5

      (13.5k reviews)

      Beginner · Specialization · 3-6 Months

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      University of Pennsylvania

      Data Analysis Using Python

      Skills you'll gain: Computer Programming, Python Programming, Statistical Programming, Data Analysis, Data Visualization, Plot (Graphics), Data Mining, Data Science

      4.6

      (306 reviews)

      Beginner · Course · 1-4 Weeks

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      Coursera Project Network

      Using Basic Formulas and Functions in Microsoft Excel

      Skills you'll gain: Business Analysis, Data Analysis, Microsoft Excel, Spreadsheet Software, Data Analysis Software

      4.7

      (618 reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Free

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      Stanford University

      Introduction to Statistics

      Skills you'll gain: Data Science, General Statistics, Probability & Statistics, Statistical Tests, Estimation, Basic Descriptive Statistics, Correlation And Dependence, Probability Distribution, Regression, Bayesian Statistics, Data Analysis, Data Visualization, Econometrics, Experiment, Machine Learning, Markov Model, Plot (Graphics), Statistical Analysis, Statistical Visualization

      4.6

      (2.1k reviews)

      Beginner · Course · 1-3 Months

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      Coursera Project Network

      Getting Started in Google Analytics

      Skills you'll gain: Data Analysis, Data Analysis Software, Back-End Web Development, Data Management, Financial Analysis, Search Engine Optimization, Web Development

      4.4

      (1.4k reviews)

      Beginner · Guided Project · Less Than 2 Hours

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      Coursera Project Network

      Create a Financial Statement using Microsoft Excel

      Skills you'll gain: Accounting, Business Analysis, Financial Accounting, Microsoft Excel, Spreadsheet Software, Data Analysis, Data Analysis Software, Finance

      4.5

      (201 reviews)

      Intermediate · Guided Project · Less Than 2 Hours

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

    • IBM Cybersecurity Analyst: IBM
    • Data Science: Johns Hopkins University
    • Create Charts and Dashboards Using Microsoft Excel: Coursera Project Network
    • Python and Statistics for Financial Analysis: The Hong Kong University of Science and Technology
    • Google Project Management:: Google
    • Introduction to Finance and Accounting: University of Pennsylvania
    • Big Data: University of California San Diego
    • Data Analysis Using Python: University of Pennsylvania
    • Using Basic Formulas and Functions in Microsoft Excel: Coursera Project Network
    • Introduction to Statistics: Stanford University

    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.‎

    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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