Applied Data Science: Communication & Visualization

Description de la formation

Objectif

Applied Data Science: Communication & Visualization program covers the fundamental techniques needed to work with data: extracting, cleaning, processing, analyzing, interpreting, visualizing and presenting data. Using real world datasets and scenarios, the students will learn the skills needed to master the data challenges of the digital age.

Each of the four courses in this program will let the students demonstrate their newly-acquired skills through a course project. ECTS credits will be awarded to learners who successfully complete all four courses and course projects as well as a final capstone project.

Contenu

Introduction to Data Analysis with Python

• Getting Started
• Exploring our First Data Set
• The Jupyter Notebook
• A First Look at NumPy
• A First Look at Pandas
• The Basics of Data Visualization
• Probability for Data Science
• Linear Algebra for Data science
• Course Project

Applied Data Analysis

• Getting the Data
• Cleaning the Data
• Manipulating the Data
• Working with Textual Data
• Working with Time-series Data
• Databases in Python
• Statistical Data Analysis
• Course Project

Advanced Applied Data Analysis

Data Visualization

Capstone Project

 

15 ECTS credits