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

(153,481 ratings)

2,654,079 already enrolled

Beginner level

Average time: 6 month(s)

Learn at your own pace

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

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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

(35 ratings)

5,524 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

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

(22,275 ratings)

367,558 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

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

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