Data analysts play a vital role in turning complex data into actionable insights, helping businesses solve problems and make informed decisions.
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:
professional certificate
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
(154,521 ratings)
2,690,939 already enrolled
Beginner level
Average time: 6 month(s)
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Skills you'll build:
Spreadsheet Software, Data Management, Data Analysis, Business Communication, General Statistics, Business Analysis, Data Visualization, SQL, Data Cleansing, Developing a portfolio, Creating case studies, Metadata, Data Ethics, Spreadsheet, Data Collection, Data Calculations, Data Aggregation, Rstudio, R Markdown, R Programming, Presentation, Tableau Software, Sample Size Determination, Data Integrity, Decision-Making, Questioning, Problem Solving
professional certificate
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
(22,535 ratings)
375,462 already enrolled
Beginner level
Average time: 4 month(s)
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Skills you'll build:
Generative AI, Data Generation, Data Analysis, Querying Databases, Data Augmenting, Pandas, Data Science, Jupyter notebooks, Python Programming, Numpy, Dashboards and Charts, Matplotlib, Data Visualization, dash, Exploratory Data Analysis, Dashboard Creation, Data Wrangling, Data Collection, Predictive Modelling, Model Selection, IBM Cognos Analytics, Dashboard, Microsoft Excel, Spreadsheet Software, Spreadsheet, Pivot Table, Databases, Data Management, SQL, Relational Database Management System (RDBMS), Cloud Databases, Planning, Business Communication, Business Analysis, Human Resources, Communication
professional certificate
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
(699 ratings)
34,329 already enrolled
Beginner level
Average time: 5 month(s)
Learn at your own pace
Skills you'll build:
Pandas, Data Analysis, Python Programming, Generative AI in Data Analytics, SQL, Marketing, Data Management, Data Visualization, Linear Regression, Statistical Hypothesis Testing, Statistical Analysis, Spreadsheet, Tableau Software
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