Program Overview
The Curso Data Science is a comprehensive online program that provides a deep understanding of data science concepts and skills. It covers the entire data flow, from data ingestion and storage to advanced analysis and visualization, using industry-standard tools and techniques. With a focus on experiential learning and networking, this course prepares you to become a highly sought-after data science professional in the rapidly growing industry.
Program Outline
You'll delve into the most current and complete programming languages, techniques, and tools for developing Data Science projects. This course is designed to transform you into a data-driven professional, capable of extracting valuable information and becoming a leader in one of the most in-demand fields.
Outline:
The course is structured into four modules:
- Module 1: Introduction and Fundamentals of Data Science (2 ECTS)
- UA1: Introduction to Big Data and Data Science:
- What is Big Data?
- The 5Vs
- What is Data Science?
- Data Sources
- UA2: Fundamentals of Mathematics and Statistics:
- Basic Statistics
- Calculating Basic KPIs with Python
- Module 2: Data Ingestion and Storage (3 ECTS)
- UA1: SQL and NoSQL Databases:
- SQL Databases
- What are NoSQL Databases?
- MongoDB
- ElasticSearch
- UA2: Storing Large Volumes:
- Cloud Storage
- HDFS File System
- UA3: HADOOP Ecosystem:
- MapReduce Paradigm
- Apache HIVE
- YARN Resource Manager
- Module 3: Data Processing and Analysis (5 ECTS)
- UA1: Advanced Python:
- ETLs with Python
- Pandas, Numpy, and Data Processing Libraries
- UA2: Machine Learning - Supervised Learning:
- Introduction to ML
- Supervised Learning Techniques: Classification
- Supervised Learning Techniques: Regression
- UA3: Machine Learning - Unsupervised Learning:
- Unsupervised Learning Techniques: Clustering
- Unsupervised Learning Techniques: Recommendation Systems
- Unsupervised Learning Techniques: Variable Extraction
- UA4: Deep Learning:
- Introduction to Deep Learning
- Neural Network Techniques
- UA5: Time Series:
- ARIMA Models
- Module 4: Data Visualization (2 ECTS)
- UA1: Fundamentals of Data Visualization:
- What is Data Visualization?
- Types of Visualizations
- Storytelling
- What is Business Intelligence?
- Data Visualization Tools
- UA2: Power BI:
- Data Ingestion and Processing
- Advanced Data Modeling
- Creating Dashboards
- Publishing on the Web and Power BI Service
Teaching:
- Methodology: 100% Online with live virtual classes that are recorded for those who cannot attend or want to review them.
- Faculty: The faculty consists of active professionals from companies like SIEMMENS, Telefónica, and Vodafone.
- Potential Career Paths:
- Data Scientist
- Data Architect or Engineer
- Big Data Architect
- Data Scientist Manager
- Data Strategy
- BI Analyst
Other:
- IBM Skills Academy Certification: The course includes access to a Data Science certificate from the IBM Skills Academy and exclusive content from the academy.
- Learning Experience: You'll have the support of expert teachers to facilitate your learning, as well as a dedicated tutor to guide you and help you achieve your goals.
- Flexibility: The online format offers flexibility with live virtual classes that are recorded for your convenience.
- Target Audience:
- New entrants seeking to develop their careers in Big Data and Data Science.
- Programming professionals looking to enhance their knowledge in specific data-related areas.
- Professionals in statistics and mathematics who want to learn programming techniques and tools to apply their knowledge to data projects.
- Professionals from other technology sectors who want to transition their careers to Big Data and Data Science.
