7 Essential Data Analytics Skills for Beginners (VIDEO)

Written by Coursera Staff • Updated on

Want a career in the booming field of data analytics? With job growth projected at 23% through 2032, there's never been a better time to dive in.

[Video thumbnail] 7 Essential Data Analytics Skills

This video reveals the 7 essential skills you need to succeed as a data analyst:

  1. SQL (Structured Query Language): The foundation for communicating with databases.

  2. Statistical Programming (R & Python): Analyze, clean, and visualize data like a pro.

  3. Machine Learning: Gain a competitive edge by understanding AI-powered data analysis.

  4. Probability & Statistics: Ensure accurate results and avoid common pitfalls.

  5. Data Management: Master the art of data organization and storage.

  6. Data Visualization: Tell compelling stories with data using tools like Tableau.

  7. Econometrics (for Finance): Forecast future trends using economic data.

Ready to turn your data aspirations into reality? We've got you covered! Check out the courses linked below to learn from industry experts and earn valuable credentials! 👇

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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

Microsoft Data Visualization

Develop Skills in Data Analysis and Visualization. Build job-ready skills for an in-demand career in data visualization in as little as 3 months. No prior experience or degree required to get started.

4.7

(34 ratings)

5,380 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Extract Transform Load (ETL), Data Visualization, Report and Dashboard Design, Data Analysis, Data Analysis Expressions (DAX), Data Privacy and Security, Data Modeling, Microsoft Power BI, Power Query, Geospatial Data Visualization, Statistical Analysis, Business Intelligence, Data Transformation, Data Cleaning, Data Sources, Chart creation, Data Storytelling, Report design, Power BI Copilot

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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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