“How to Use Data” is designed to equip learners with the essential skills needed for a career in data analytics. This specialization emphasizes the ability to scope and answer critical business questions using data while providing a comprehensive foundation in key data analytics processes. In the first course, you’ll explore the fundamentals of data analysis, data science, and data analytics, learning about essential tools and programming languages through real-world case studies. You will master techniques like data wrangling with SQL, gaining hands-on experience with data storage, access, and manipulation using relational databases. Moving into exploratory data analysis (EDA) with Python, you’ll develop skills in data inspection, querying, summarization, and visualization. Additionally, you’ll learn how to apply predictive analytics techniques—such as regression, decision trees, random forests, and clustering—to solve complex business challenges and make data-driven predictions. Finally, you’ll gain expertise in creating impactful visualizations with Tableau and presenting data insights effectively to stakeholders, enabling you to drive informed decision-making in real-world scenarios.
What you'll learn
understand the fundamentals of data analysis, data science, and data analytics
use SQL for data wrangling and manipulation
conduct exploratory data analysis with Python
apply predictive analytics techniques including regression and clustering
create visualizations using Tableau
Course objectives
equip learners with the skills to address critical business questions using data
provide hands-on experience with data storage and access
develop expertise in visualizing and presenting data insights