Traverse the data analysis pipeline using advanced visualizations in Python, and make machine learning start working for you.
Whether being used to customize advertising to millions of website visitors or streamline inventory ordering at a small restaurant, data is becoming more integral to success. Too often, we’re not sure how use data to find answers to the questions that will make us more successful in what we do. In this course, you will discover what data is and think about what questions you have that can be answered by the data – even if you’ve never thought about data before. Based on existing data, you will learn to develop a research question, describe the variables and their relationships, calculate basic statistics, and present your results clearly. By the end of the course, you will be able to use powerful data analysis tools – either SAS or Python – to manage and visualize your data, including how to deal with missing data, variable groups, and graphs. Throughout the course, you will share your progress with others to gain valuable feedback, while also learning how your peers use data to answer their own questions.
Week 1: Selecting a research question
Week 2: Writing your first program - SAS or Python
Week 3: Managing Data
Week 4: Visualizing Data
Data Management and Visualization is course 1 of 5 in the Data Analysis and Interpretation Specialisation.
Learn SAS or Python programming, expand your knowledge of analytical methods and applications, and conduct original research to inform complex decisions. The Data Analysis and Interpretation Specialization takes you from data novice to data expert in just four project-based courses. You will apply basic data science tools and techniques, including data management and visualization, modeling, and machine learning using your choice of either SAS or Python (including, but not limited to, the popular pandas and Scikit-learn python libraries). Throughout the Specialization, you will analyze a research question of your choice and summarize your insights. In the final Capstone Project, you will use real data to address an important issue in society, and report your findings in a professional-quality report. You will have the opportunity to work with our industry partner, DRIVENDATA, to help them solve some of the world's biggest social challenges by joining one of their competitions. Regular feedback from peers will provide you a chance to shape your question in new ways. This Specialization is designed to help you whether you are considering a career in data, work in a context where supervisors are looking to you for guidance about using data, or you just have some burning questions you want to explore. No prior experience is required, but by the end you will have mastered analytical methods and applications to conduct original research that can inform complex decisions.