Introduction
IntroductionIn today's digital age, data analysis has become key to strategic decision-making across all industries. With the Data Science with Python: Introduction to Data Analysis course, you'll immerse yourself in the fascinating world of data analysis using Python, a widely sought-after tool. You'll learn everything from the first steps of installing and configuring Python to mastering libraries like Matplotlib and Seaborn for data visualization. This course will provide you with the skills necessary to turn raw data into valuable insights, enabling you to clean, transform, and understand complex data sets. Begin your training in a booming industry and open the doors to countless opportunities.
Presentation
1 min 20 secs
Syllabus
SyllabusCertification
CertificationUniversity Microcredential in Data Science with Python: Introduction to Data Analysis with 45 hours and 1 Credit issued by UNIMIAMI
Job opportunities
Job opportunities- Data analyst: transforms data into useful information for decision-making. - Data scientist: applies data visualization techniques. - Programming specialist: creates scripts that automate processes. - Visualization specialist: uses libraries to communicate results. - Data consulting professional: advises on data use.
Scholarships
ScholarshipsUNIMIAMI presents AVANZA
Commitment to Educational Democratization
A financial aid program for its students. With this, the university reaffirms its commitment to democratizing education and empowering future professionals, convinced that education is key to improving quality of life and reducing inequalities.
Methodology
MethodologyTruly personalized learning
Your style, interests, and level define the journey. You are the starting point.
Constructivism in action
Explore, experiment, and apply. Learning means understanding, not memorizing.
AI that accompanies you, not directs you
PHIA, our artificial intelligence assistant, guides you without limiting your autonomy.
Pressure-free evaluation
Continuous and adaptive feedback. Because learning is a process, not a number.