Develop a Robust Foundation in Data Analytics. Build a job-ready data analytics skillset using industry-standard tools, including generative AI, to extract insights, make decisions, and solve real-world business problems.

What you'll learn

Statistics for real-world decision-making. Learn to calculate and interpret descriptive and inferential statistics to solve business problems.
Data visualization and storytelling. Create compelling visualizations that effectively communicate complex data stories to stakeholders.
Generative AI for analytics. Leverage genAI in the data analytics lifecycle, with hands-on labs and guidance on when and how to use AI assistance.
Skills you'll gain
Data cleaning and preprocessing
Data Visualization
Python Programming for Data Analysis
Spreadsheets
Data Storytelling
Inferential Statistics (Hypothesis testing and Confidence Intervals)
Applied Statistics and Probability
Time Series Analysis And Forecasting
Descriptive Statistics
SQL for Data Manipulation
Data Analysis
Data Segmentation
LLM Prompting for Data Analysis
Inferential Statistics
Python (Programming Language)
Linear Regression
Customized Visualizations
Programming with Generative AI
Data Validation
Web Scraping
Data Preprocessing
SQLite
Data Cleaning
Statistical Analysis
Probability And Statistics
Tableau
Insight Summary
Data Narrative Design
Data Dashboards
Learn in-demand analytics skills that can transform your career. Data-informed decision-making is now an essential skill for everyone, from everyday consumer choices to business decisions at all levels. As reliance on data grows, so does the need for professionals who can analyze and interpret it effectively. The Data Analytics Professional Certificate, led by industry leader Sean Barnes, equips you with the skills to manage the entire data lifecycle, from defining problems to delivering insights.
The skills you'll gain are in high demand, and with data science roles projected to grow 36% from 2023 to 2033 according to the U.S. Bureau of Labor Statistics, developing these skills puts you at the forefront of a data-centric world.
Unique to this program is its integration of new AI tools into the analytics workflow. You'll learn to use large language models as a thought partner, accelerating tasks like simulation modeling, formula debugging, and data visualization. Each of the course examples comes from real-world use cases, building practical and immediately useful skills.
Whether you're a software engineer working with data pipelines, a marketer or business analyst extracting insights, or building a career in data analysis, you'll gain the foundation to excel in the data economy. This program blends core statistical methods with AI-assisted workflows, perfect for beginner data professionals or experienced practitioners looking for fresh techniques.
Applied Learning Project
Advanced statistical applications. Move beyond theory to practical implementation of correlation analysis, confidence intervals, and hypothesis testing to solve real business challenges.
Effective data-driven communication: Develop the crucial skill of translating complex analytical findings into clear, actionable insights for stakeholders at all levels.
Future-ready analytics skills. Gain experience in AI-augmented workflows, preparing you for the cutting edge of data analytics, using AI to help speed up and improve analysis.
Homepage:

https://www.coursera.org/professional-certificates/data-analytics