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! 👇

Google

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

(158,751 ratings)

2,897,258 already enrolled

Beginner level

Average time: 6 month(s)

Learn at your own pace

Skills you'll build:

Tableau Software, Data Visualization, Ggplot2, Sampling (Statistics), Presentations, Applicant Tracking Systems, Data Ethics, Spreadsheet Software, Data Validation, LinkedIn, Rmarkdown, Data Cleansing, Data Visualization Software, Interviewing Skills, Data Storytelling, Data Presentation, Stakeholder Communications, Data Literacy, Interactive Data Visualization, Data Analysis, SQL, Data-Driven Decision-Making, Analytical Skills, Google Sheets, Data Processing, Data Sharing, Data Management, Data Integrity, Data Quality, Data Transformation, Sample Size Determination, Generative AI, Professional Development, Problem Solving, Communication, Personal Attributes, Prompt Engineering, Dashboard, Quantitative Research, Business Analysis, Expectation Management, R Programming, Data Manipulation, Data Import/Export, Package and Software Management, Statistical Programming, Tidyverse (R Package), Data Structures, Web Content Accessibility Guidelines, Pivot Tables And Charts, Excel Formulas, User Feedback, Data Integration, Data Compilation, Analytics, Artificial Intelligence, Business Analytics, Portfolio Management, Research Reports, Data Collection, Data Security, Relational Databases, Databases, Data Storage, Unstructured Data

Microsoft

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.

4.8

(74 ratings)

11,084 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Data Analysis Expressions (DAX), Business Intelligence, Data Visualization, Statistical Analysis, Power BI, Data Architecture, Database Design, Data Ethics, Data Governance, Data Cleansing, Data Visualization Software, Data Storytelling, Data Modeling, Data Transformation, Data Presentation, Extract, Transform, Load, Interactive Data Visualization, Dashboard, Data Analysis, Correlation Analysis, Data Quality, Data Storage, Data Integration, Data Validation, Data Management, Data Import/Export, Data Wrangling, Data Processing, Root Cause Analysis, Time Series Analysis and Forecasting, Geospatial Information and Technology, Advanced Analytics, Scatter Plots, Exploratory Data Analysis, Trend Analysis, Analytics, Data-Driven Decision-Making, Snowflake Schema, Star Schema, Data Integrity, Information Privacy, Relational Databases, Data Security, Performance Analysis, Key Performance Indicators (KPIs), Business Reporting, Pivot Tables And Charts, Histogram, Statistical Visualization

IBM

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

(23,535 ratings)

413,023 already enrolled

Beginner level

Average time: 4 month(s)

Learn at your own pace

Skills you'll build:

Generative AI, Jupyter, Data Visualization, Data Wrangling, Python Programming, Microsoft Excel, Data Cleansing, Data Visualization Software, Data Storytelling, Data Transformation, IBM Cognos Analytics, Excel Formulas, Big Data, Plotly, Interactive Data Visualization, Professional Networking, Exploratory Data Analysis, Dashboard, Data Analysis, SQL, Histogram, Data Manipulation, Pandas (Python Package), Web Scraping, Data Collection, Data Presentation, Scatter Plots, Statistical Analysis, Box Plots, Interviewing Skills, LinkedIn, Presentations, Professional Development, Portfolio Management, Recruitment, Business Writing, Analytical Skills, Relationship Building, Pivot Tables And Charts, Tree Maps, Databases, Relational Databases, Stored Procedure, Transaction Processing, Query Languages, Database Management, Database Design, Regression Analysis, Scikit Learn (Machine Learning Library), NumPy, Matplotlib, Predictive Modeling, Data Pipelines, Data-Driven Decision-Making, Feature Engineering, Data Import/Export, Apache Spark, Data Lakes, Apache Hadoop, Data Mart, Data Science, Data Warehousing, Apache Hive, OpenAI, Prompt Engineering, ChatGPT, Analytics, Artificial Intelligence and Machine Learning (AI/ML), Data Ethics, Data Quality, Information Privacy, Google Sheets, Spreadsheet Software, Seaborn, Heat Maps, Geospatial Information and Technology, Data Structures, Object Oriented Programming (OOP), File Management, Restful API, Computer Programming, Application Programming Interface (API), Programming Principles, Data Processing

Updated on
Written by:

Editorial Team

Coursera’s editorial team is comprised of highly experienced professional editors, writers, and fact...

This 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.

Advance in your career with recognized credentials across levels.

Subscribe to earn unlimited certificates and build job-ready skills from top organizations.