Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

SDA Bocconi School of Management

Data Science Program

SDA Bocconi School of Management via edX Professional Certificate

Overview

Accelerate your career by learning how to provide the expertise you need to navigate the challenges of this in-demand field for your organization with a Professional Certificate in Data Science from SDA Bocconi.

During this program, you will explore the fundamentals of data science, improve efficiency, accelerate productivity and maximize profitability.

Our Professional Certificate in Data Science is the culmination of 2 courses, attended in parallel or in the order of your choice. By successfully completing the 2 courses, you will gain SDA Bocconi’s professional certificate, in addition to an individual certificate for each course you have attended.

By the end of this online program, you’ll have created your own portfolio of modeling tools that showcases hands-on application of the skills required to use data for prediction, classification, and optimization to achieve real-world results.

Syllabus

Courses under this program:
Course 1: Fundamentals of Python

We will equip you with everything you need to properly start using Python in your daily work activities. You will learn how to install Python and work with it through different graphical front-ends. You will then learn how to define objects and how to recognize different characteristics and functionalities. Finally, you will learn how to make Python execute a series of instructions in a sequential order through loops, as well as how to write your own functions.



Course 2: Data Analysis for Business: Foundations

Every day business managers have to make decisions.

In this course you will learn procedures and methods that can help make better decisions, based on descriptive statistics and data analysis. Using Statistics you can focus on the methods involved in collecting, presenting and summarizing a set of data and in developing conclusions supported by data and empirical evidence.

The course is designed to respond to the needs of a non-specialist audience and also for participants with “non-scientific” backgrounds (humanities and other classical disciplines), who have not been extensively exposed to quantitative methods and basic calculation procedures or, more generally, for people who do not feel comfortable with basic statistical techniques.



Courses

Taught by

Renata Trinca Colonel, Gaia Rubera and Francesco Grossetti

Tags

Reviews

Start your review of Data Science Program

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Someone learning on their laptop while sitting on the floor.