Build job-relevant data analysis skills using Python, R, and Microsoft tools in this beginner-friendly specialization. You’ll learn how to collect, clean, analyze, visualize, and communicate data insights using two of the most popular programming languages in analytics. The program starts with Python programming fundamentals, then moves into data analysis, visualization, generative AI, and machine learning basics. You’ll also learn R programming, tidyverse workflows, data cleaning, and exploratory data analysis using real-world datasets.
Through guided labs and practical projects, you’ll use tools such as Jupyter Notebook, Visual Studio Code, GitHub Copilot, pandas, Matplotlib, ggplot2, Scikit-learn, and GitHub. By the end of the specialization, you’ll be able to clean messy datasets, create dashboards and charts, automate analysis workflows, apply beginner machine learning models, and communicate findings clearly. This specialization is ideal for aspiring data analysts, business professionals, career changers, and learners who want practical analytics skills without prior coding experience.
