- What is Big Data?
- What is the nuance in differentiating between the two terms?
- The big data boom
- The importance of storing and extracting information
- What is the role of data sources?
- Innovative solutions through data selection
- Nature of Big Data sources
- Thick Data, the value of qualitative. Understanding human emotions, intentions and feelings
- Phases in a Big Data project
- Big Data for business
- Supporting Big Data in the decision-making process
- Operational decision-making
- Strategic marketing and Big Data
- Open data
- Example of the use of Open Data
- IoT (Internet of Things)
- Relationship between artificial intelligence and big data
- AI and Big Data combined
- The role of Big Data in AI
- Big Data in health
- The need for Big Data in healthcare
- Challenges of big data in health
- Big Data and People Analytics in HR
- Defining the concept of Business Intelligence and the Information Society
- Architecture of a Business Intelligence solution
- Business Intelligence in company departments
- Concepts of Master Plan, Strategic Plan and Annual Operating Plan
- Operational Systems and ETL Processes in a BI System
- Business Intelligence Advantages and Risk Factors
- Balanced Scorecards (BSC)
- Decision Support Systems (DSS)
- Executive Information Systems (EIS)
- Introduction to data mining and machine learning
- KDD Process
- Data Mining Models and Techniques
- Areas of application
- Text Mining and Web Mining
- Data mining and marketing
- Approach to the DataMart concept
- OLTP databases
- OLAP Databases
- MOLAP, ROLAP & HOLAP
- Tools for OLAP cube development
- Overview: Why DataWarehouse?
- Structure and Construction
- Phases of implementation
- Features
- Data Warehouse in the cloud
- Internet of Things (IoT) Context
- What is IoT?
- Elements that make up the IoT ecosystem
- IoT architecture
- Devices and elements used
- Examples of use
- Challenges and future lines of work
- What is Data Storytelling?
- Key elements of Data Storytelling
- Why is Data Storytelling important?
- How to do Data Storytelling?
- What is Hadoop? Relationship with Big Data
- Installation and configuration of Hadoop infrastructure and ecosystem
- HDFS file system
- MapReduce with Hadoop
- Apache Hive
- Apache Hue
- Apache Spark
- What is data science?
- Tools needed for the data scientist
- Data Science & Cloud Computing
- Legal aspects of Data Protection
- Introduction
- The relational model
- SQL query language
- MySQL A relational database
- What is a NoSQL database?
- Relationship Vs NoSQL Databases
- Type of NoSQL Databases CAP Theorem
- NoSQL Database Systems
- What is MongoDB?
- How MongoDB works and how to use it
- Getting started with MongoDB: Installation and command shell
- Creating our first NoSQL database: Model and Data Insertion
- Updating data in MongoDB: set and update statements
- Working with indexes in MongoDB for data optimisation
- Data query in MongoDB
- What is Weka?
- Data Mining Techniques in Weka
- Weka Interfaces
- Attribute selection
- An approach to PENTAHO
- Solutions offered by PENTAHO
- MongoDB & PENTAHO
- Hadoop & PENTAHO
- Weka & PENTAHO
- Introduction to R
- What do you need?
- Data types
- Descriptive and Predictive Statistics with R
- R integration in Hadoop
- Data collection and cleansing (ETL)
- Statistical inference
- Regression models
- Hypothesis testing
- Business Analytics Intelligence
- Graph theory and social network analysis
- Presentation of results
- What is data analysis?
- Data analysis with NumPy
- Pandas
- Matplotlib
- How to use loc in Pandas
- How to delete a column in Pandas
- Pivot tables in pandas
- The group of Pandas
- Python Pandas merging data frames
- Matplotlib
- Seaborn
- Machine learning
- Linear regression
- Logistic regression
- Tree structure
- Naive Bayes algorithm
- Types of Naive Bayes
- Support Vector Machines (Support Vector Machine-SVN)
- How does SVM work?
- SVM cores
- Classifier construction in Scikit-learn
- K-nearest Neighbors (KNN)
- Python implementation of KNN algorithm
- Principal component analysis
- Random forest algorithm
- What is data visualisation?
- Importance and tools of data visualisation
- Data visualisation: Basic principles
- What is Tableau? Uses and applications
- Tableau Server: Architecture and Components
- Tableau Installation
- Workspace and navigation
- Data connections in Tableau
- Types of filters in Tableau
- Organisation of data, groups, hierarchies and assemblies
- Tables and charts in Tableau
- D3 Fundamentals
- Installation D3
- Operation D3
- SVG
- Data types in D3
- Bar chart with D3
- Scatter diagram with D3
- Google Data Studio
- Installation and architecture
- Data upload
- Reports
- Data transformation and modelling
- Data analysis
- Introduction to Power BI
- Installing Power BI
- Data modelling
- Data visualisation
- Dashboards
- Data sharing
- CartoDB
- What is CARTO?
- Loading and use of data. Types of analysis
- Programming a viewer with the CARTO.js library
- Using examples and help from the API documentation
- What is web analytics?
- Setting targets and KPIs
- Core and advanced metrics
- Objectives and advantages of measuring
- Measurement plan
- Introduction to Google Analytics 4
- Interface
- Metrics and dimensions
- Basic reporting
- Filters
- Segments
- Events
- Customised reports
- User behaviour and data interpretation
- Introduction to GTM
- Implementation with GTM
- Measurement with GTM
- Using Debug/Preview Mode
- The attribution
- Multichannel
- Customer Journey
- Main attribution models
- Customised attribution models
- Dashboard planning
- Dashboard features
- Introduction to Data Studio
- Connectors
- Types of graphs
- Customisation of reports
- Control elements
- Dimensions and metrics
- Calculated Fields
- Sharing reports
- Introduction to SEO
- History of search engines
- Components of a search engine
- Organisation of results in a search engine
- The importance of content
- The concept of authority on the Internet
- SEO Campaign
- Introduction to SEM
- Main concepts in SEM
- Bidding System and Ad Quality
- First contact with Google Ads
- Creating quality advertisements
- Key performance indicators in SEM
- Social media traffic analysis
- Setting social media goals
- Youtube
- Tik tok
- Usability
- Heat maps
- User session recordings
- Card sorting
- A/B Testing
- Multivariate test
- KPIs, key performance indicators
- Changes to make to optimise a website
- Hotjar
- Microsoft Power BI
- Google Search Console
- Matomo
- Awstats
- Chartbeat
- Adobe Analytics
- What are cookies?
- Types of cookies
- GDPR
- Tools to manage cookie consent
- The technological revolution
- Media and digital marketing
- Technology in the sports industry
- Technology in sporting events
- Sports biometrics and analytics
- Data Mining applied to sport
- BI system applied to sport
- Data Envelopment Analysis (DEA) applied to sport
- Sports data and market transformation
- What is Scouting?
- Importance of Scouting
- Profile of the video manager
- Hardware and software elements
- Video capture and playback elements
- Video match analysis software
- What can be analysed in a team?
- Tactics
- Methodology of tactical preparation
- Rational land use
- Transitions in football
- Some offensive tactics or actions with the ball
- Defensive positioning
- Basics of the game system
- Introduction to reporting
- Data and information collection
- Example of a player tracking form
- Example of a match scouting form
- Coach decision making
- Sports tactics
- Sports strategy