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

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5 weeks, 3-4 hours a week, 3-4 hours a week
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Here you will find the complete program of the course:

WEEK 1 - Introduction

This section explains how to install Python in both Windows and MacOS machines. Also, it shows how we can interact with Python through graphical frontends available on all systems. In particular, Spyder and Jupyter Notebook are discussed.

WEEK 2 - Algorithms and Objects Python Objects

This section introduces the concept of algorithms in a very intuitive way and defines the very first objects we can work with in Python such as integers and floats. We will see how to work with these objects including strings of text. We will also see ways to print information on the screen and how to interpret errors in the code.

WEEK 3 - More Complex Python Objects

Integers, floats and strings are very simple objects. This section introduces more complex objects such as lists and dictionaries which are a collection of either of the previous objects. We will also discuss how to use and dispatch specific methods associated to a given object type.

WEEK 4 - Conditional Statements and Loops

This section explains how we can compare objects through conditional statement. Also, we will see how we can tell Python to execute a series of instruction in an automated way through loops. This is a rather important aspect since very often we are required to carry out repeated operations over a collection of objects.

WEEK 5 - Functions

This section introduces Python functions. This is a very convenient way to customize our codes and tailor them according to the job we are doing. We will see how to build very simple functions and how we can call them. Moreover, we will also show how we can nest functions to be even more precise in defining our tasks.

WEEK 6 - Data Frames

This section introduces additional Python modules, in particular, pandas. pandas is the state of the art module to deal with spreadsheet-like data structures called Data.Frame. We will cover standard operations to show why is important to be able to use specialized modules.
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6 weeks, 3-4 hours a week, 3-4 hours a week
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The course provides an overview of data analysis for business: an introduction and review of methods to describe data using tables, charts and summary measures. 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. At the end of this course the participants will be able to manage the most common basic data analysis techniques: descriptive and data visualization to properly analyze categorical and numerical business variables.