“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, students explore the fundamentals of data analysis, data science, and data analytics, learning about essential tools and programming languages through real-world case studies. Students 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, students will develop skills in data inspection, querying, summarization, and visualization. Additionally, they will 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, students will gain expertise in creating impactful visualizations with Tableau and presenting data insights effectively to stakeholders, enabling them to drive informed decision-making in real-world scenarios.
100% online
3 Courses
9 Weeks
8 hours a week
Hosted on Coursera
Specialization Certificate
About the Program
Courses in This Program
Intro to Data Analytics, SQL, and EDA Using Python
Discover the fundamentals of data analytics in this introductory course that covers data wrangling with SQL and exploratory data analysis (EDA) using Python. Learn to define problems, query databases, and visualize data to uncover meaningful insights—all while mastering essential tools like SQL, pandas, and matplotlib.
- 3 weeks
- 8 hours per week
- Self-paced
- Instructor: Brandon Krakowsky
Intro to Predictive Analytics Using Python
Develop your predictive analytics expertise by building and evaluating models like linear and logistic regression, decision trees, and random forests. Gain practical experience with supervised and unsupervised learning techniques, empowering you to solve real-world problems with Python.
- 3 weeks
- 8 hours per week
- Self-paced
- Instructor: Brandon Krakowsky
Data Viz Using Tableau & Presenting With Storytelling
Build a strong foundation in data visualization and storytelling while gaining practical experience with Tableau. Learn to create clear and effective visualizations, apply best practices in data presentation, and craft compelling narratives to communicate insights and support data-driven decision-making.
- 3 weeks
- 8 hours per week
- Self-paced
- Instructor: Brandon Krakowsky
Master Data Analytics
Gain the skills to analyze data, build predictive models, and create impactful visualizations with SQL, Python, and Tableau. The “How to Use Data” specialization is designed for aspiring data analysts looking to make data-driven decisions in any field.