“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.
Applied Learning Project
This specialization presents a variety of graded and practice assignments, both in the form of learning checks with multiple attempts, and in the form of programming assignments via Codio platform. Practice assignments in this course don't count towards the Final Grade. All of the other assignmetns are automatically graded, and provide instant feedback to the Learners. Please feel free to post in Discussion Forums located in every Module if you have any questions about the assignments or the instructions. Google Chrome is the recommended browser for completing coding assignments.
