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What Are Python Concepts?
Unravel the core concepts of Python and discover why it's a go-to language for developers worldwide. Learn more about Python concepts and their applications and explore careers that use Python.
February 18, 2025
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Data analytics is the collection, transformation, and organization of data in order to draw conclusions, make predictions, and drive informed decision making. Learn more about data analytics and career opportunities with these resources.
Discover courses in data analytics
Skills you'll gain: Data Storytelling, Data Visualization, Data Presentation, Rmarkdown, Interactive Data Visualization, Data Ethics, Interviewing Skills, Data Cleansing, Data Validation, Ggplot2, Tableau Software, Presentations, Spreadsheet Software, Data Analysis, Data Visualization Software, Dashboard, Sampling (Statistics), Analytics, Stakeholder Management, R Programming
Build toward a degree
Beginner · Professional Certificate · 3 - 6 Months
Skills you'll gain: Big Data, Data Analysis, Statistical Analysis, Apache Hadoop, Apache Hive, Data Collection, Data Mart, Data Warehousing, Data Storytelling, Apache Spark, Data Cleansing, Data Lakes, Data Visualization Software, SQL
Beginner · Course · 1 - 3 Months
DeepLearning.AI
Skills you'll gain: Data Storytelling, Google Sheets, Data Presentation, Web Scraping, Dashboard, Time Series Analysis and Forecasting, Tableau Software, Data Visualization Software, Seaborn, Interactive Data Visualization, Business Analysis, Probability & Statistics, Statistical Analysis, Statistical Inference, Statistics, Pandas (Python Package), Statistical Modeling, JSON, Query Languages, SQL
Beginner · Professional Certificate · 3 - 6 Months
Every day, data analytics powers business decisions and product innovations around the world. Data analysts are in high demand across many industries.
Not sure where to start? We've compiled free articles and resources on this and other data topics, including:
AI and machine learning
Data basics
Data engineering
Data science
Generative AI and ChatGPT
Yes, a master’s degree in data analytics can be worth it—depending on your goals and your resources. Advanced degrees in this subject can lead to higher salaries, diverse career opportunities, advanced knowledge and skill sets, and exciting networking opportunities, among other benefits.
Beginning data analysts should ensure they have a solid technical understanding of Structured Query Language (SQL), Microsoft Excel, and R or Python. Additionally, they should be able to think critically, present confidently, and tell their data's story visually. Read more about these and other key data analyst skills.
The time it takes to develop the skills you need to get a job as a data analyst will depend on what you already know, your strategy for learning new skills, and the role you're applying for. But it might take less time than you think. It's possible to learn the skills you need for an entry-level role as a data analyst in approximately 64 hours of learning, according to Coursera's 2022 Global Skills Report. Earning your Google Data Analytics or IBM Data Analyst Professional Certificate in less than six months is possible.