DATA ANALYTICS POSTGRADUATE (English)
Become a Data Analyst, boost your career, gain the experience and let yourself be guided by the best professionals in the industry
Course dates: January - May 2022
Program timetable: Mondays and Fridays from 5:30pm to 9:30pm
Part-time Online synchronous learning
¿What Data Analytics career can offer you?
BRIGHT PROFESSIONAL FUTURE
IMPACT ON BUSINESS
Global environment and competitive.
High wages, professional recognition, short and long term fast growing
To whom it is addressed?
JOSE CEBADA, PROGRAM DIRECTOR
HEAD OF DATA INSIGHTS AT MILANUNCIOS
Training a new generation of data analysts capable of adding value to the companies and marketing, finance and operations departments, among others.
Transmitting understanding and know-how of our senior Data analysts to the students so they learn the real case studies.
Building a unique community of specialists in new data analysis technologies sharing knowledge and experiences, as well as, helping the incorporation into the labor market.
Working with real projects and analizing real data so you can apply what you have learned from the beginning.
Rela case studies,
real professional opportunities.
1. Discovery (4 hours)
2. Practice (4-8 hours)
3. Learn (4 hours)
Reviewing all the case studies, tips and tricks in order to find the answers. During this part of the masterclass we will share, compare, discuss and learn from the participants analysis, so you will be able to see different kind of solutions.
At the end of the course, you will be able to...
set up your Data Analyst workplace and to understand the data analytics advanced tools. On the other hand, you will learn how to extract data from multiple sources and data bases and to write data queries in order to get data and to enrich the additional information,
understand the A/B testing methodology, as well as, to understand how to design the experiment and to analyze the results. Finally, you will be able to translate the technical analysis language to the business language,
identify the difference between causality and correlation and how these concepts affect the data analysis,
work in a data visualization environment in real time, and to build reports, to chose and implement the most suitable visualization for all the metrics,
find hidden patterns in data warehouses and to understand the methods to analyse hundreds of millions of data,
build segmentation models based on the user’s behaviour and to analyse the data in order to evaluate the best business decisions,
understand the different e-commerce, marketplace and SaaS digital business models, and to find out which are the key metrics on each of them,
comprehend the basic concepts of digital marketing publicity and to analyse its efficiency. On the other hand, you’ll examine the compiled data of the ones seen in a website that is working around Google Analytics identifying from less to more efficient audiences,
see the basic concepts of Machine Learning and to understand project structures that involve the predictive modelling,
— Rafal Szota
— Oscar B.
Meet our mentors
¿Where our students and mentors work?
For this reason, If you require finance services, please let us know and we will be happy to assist you. We believe in all the students who have exceptional achievements and professional potencial.
How is the application process?
Send us your application form.
You will receive our cataloge with all the information you need by email.
Our admissions department will review your application for and one of our advisers will contact you within 48 hours.
If you are an elegible candidate for this course, we will organise an appointment with the Program.
All the admitted candidates will receive the pre-works in order to get ready for the course.
What is included?
4 months of online masterclasses (120 hours - Mondays and Tuesdays)
80 - 100 hours studying from home to prepare the real case studies
Small groups in class in so you will be able to interact with your colleagues and mentors
Access to the Barcelona Data Institute webinars
Bdata Institute diploma
Access to job opportunities
Professional career advice