Career Spotlight: Data Analyst (VIDEO)

Written by Coursera Staff • Updated on

Data analysts play a vital role in turning complex data into actionable insights, helping businesses solve problems and make informed decisions.

[Video Thumbnail] Career Spotlight in 60 Seconds: Data Analyst

Ever wondered how businesses make sense of massive data? That’s the job of a data analyst! Data analysts play a vital role in turning complex data into actionable insights, helping businesses solve problems and make informed decisions.

What does a data analyst do?

  • Gather and clean data from multiple sources

  • Analyze data to uncover patterns and trends

  • Create visualizations using tools like SQL, Excel, and Tableau

  • Present findings to stakeholders to guide business strategies

  • Data analysts perform various types of analysis: descriptive, diagnostic, predictive, and prescriptive

To excel in this role, you'll need skills in data manipulation, visualization, statistics, and programming with languages like Python or R. And don't forget—effective communication is key to presenting your insights clearly.

🚀 Want to start your data journey? Learn Data Analytics from an industry leader:

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professional certificate

Google Data Analytics

Get on the fast track to a career in Data Analytics. In this certificate program, you’ll learn in-demand skills, and get AI training from Google experts. Learn at your own pace, no degree or experience required.

4.8

(153,263 ratings)

2,649,165 already enrolled

Beginner level

Average time: 6 month(s)

Learn at your own pace

Skills you'll build:

Data Analysis, Creating case studies, Data Visualization, Data Cleansing, Developing a portfolio, Data Collection, Spreadsheet, Metadata, SQL, Data Ethics, Data Aggregation, Data Calculations, R Markdown, R Programming, Rstudio, Tableau Software, Presentation, Data Integrity, Sample Size Determination, Decision-Making, Problem Solving, Questioning

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professional certificate

IBM Data Analyst

Prepare for a career as a data analyst. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from IBM. No prior experience required.

4.7

(22,218 ratings)

366,561 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Generative AI, Data Analysis, Querying Databases, Data Generation, Data Augmenting, Data Science, Python Programming, Pandas, Jupyter notebooks, Numpy, Dashboards and Charts, dash, Data Visualization, Matplotlib, Data Collection, Data Wrangling, Exploratory Data Analysis, Dashboard Creation, Model Selection, Predictive Modelling, Microsoft Excel, IBM Cognos Analytics, Dashboard, Spreadsheet, Pivot Table, Cloud Databases, Relational Database Management System (RDBMS), SQL

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professional certificate

Meta Data Analyst

Launch your career in data analytics. Build job-ready skills – and must-have AI skills – for an in-demand career. Earn a credential from Meta in 5 months or less. No degree or prior experience required.

4.7

(670 ratings)

32,866 already enrolled

Beginner level

Average time: 5 month(s)

Learn at your own pace

Skills you'll build:

SQL, Pandas, Generative AI in Data Analytics, Data Analysis, Python Programming, Marketing, Data Management, Data Visualization, Linear Regression, Statistical Analysis, Statistical Hypothesis Testing, Spreadsheet, Tableau Software

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