Para qué te prepara este curso subvencionado Curso Gratuito Official Master´s Degree in Big Data and Business Analytics + 60 Credits ECTS:
Thanks to this Official Master's Degree in Big Data and Business Analytics you will be able to learn the fundamental aspects of Big Data technology, what tools it uses such as Hadoop, Weka or Pentaho, how to extract business analytics thanks to Power BI, Tableau or Qlikview, being able to program algorithms using Python or R to draw conclusions and even extract web data using Google Analytics.
A quién va dirigido:
This Official Master's Degree in Big Data and Business Analytics is designed for multidisciplinary profiles since it can be applied to a multitude of fields and sectors with the aim of improving your professional career and with what tools you can carry out these large-volume processing analyzes data and information visualization.
Objetivos de este curso subvencionado Curso Gratuito Official Master´s Degree in Big Data and Business Analytics + 60 Credits ECTS:
- Learn the principles of Big Data and the development of the phases of a Big Data project. - Discover what tools Big Data uses to analyze data such as Hadoop, Weka or Pentaho. - Exploit data and visualize results through the Data Science technique. - Program data analysis algorithms with the Python and R programming languages. - Apply the analyzes carried out to create data visualizations thanks to PowerBI, Tableau or Qlikview. - Know how to use web analytics for Big Data and apply them through Google Analytics.
Salidas Laborales:
Big Data and Business Intelligence are booming technologies and highly demanded by all companies. Therefore, thanks to this Official Master's Degree in Big Data and Business Analytics you will be able to work as a Big Data systems consultant/auditor, data analyst, Python programmer for data analysis, data visualization expert or Web analyst.
Resumen:
To achieve business success, it is currently key to use technologies such as Big Data, Business Intelligence or Data Science to analyze information that allows good conclusions to be drawn. Thanks to this Official Master's Degree in Big Data and Business Analytics you will be able to learn the fundamental aspects of Big Data technology, what tools it uses such as Hadoop, Weka or Pentaho, how to extract business analytics thanks to Power BI, Tableau or Qlikview, being able to program algorithms using Python or R to draw conclusions and even extract web data using Google Analytics. You will have a team of professionals specialized in the field. In addition, thanks to the guaranteed internships, you will be able to access a labor market in full expansion.
Titulación:
- Official Master's Degree in Big Data and Business Analytics issued by the e-Campus University accredited with 60 University ECTS. Passing it will give the right to obtain the corresponding Official Master's Degree, which can qualify for carrying out the Doctoral Thesis and obtaining the Doctor's title.
Metodología:
With our online learning methodology, the student begins his journey with us through a virtual campus designed exclusively to develop the training itinerary with the aim of improving his professional profile. The teletraining hours carried out in the Virtual Campus are complemented by the student's autonomous work, communication with the teacher, complementary activities and readings and research work. The Final Master's Project is carried out after completing the theoretical-practical content on Campus, which will be graded with a score between 0-6 points. Finally, they will have to take an official exam in person in Spanish for each of the master's subjects, which can be done at the Madrid or Bogotá offices or at any of the Chamber of Commerce offices with which the University has an agreement to conducting face-to-face assessments. These exams are currently being carried out online, exceptionally due to the Covid situation.
Temario:
- MODULE 1. BIG DATA INTRODUCTION
- DIDACTIC UNIT 1. INTRODUCTION TO BIG DATA
- DIDACTIC UNIT 2. DATA SOURCES
- DIDACTIC UNIT 3. OPEN DATA
- DIDACTIC UNIT 4. PHASES OF A BIG DATA PROJECT
- DIDACTIC UNIT 5. BUSINESS INTELLIGENCE AND THE INFORMATION SOCIETY
- DIDACTIC UNIT 6. MAIN BUSINESS INTELLIGENCE PRODUCTS
- DIDACTIC UNIT 7. BIG DATA AND MARKETING
- DIDACTIC UNIT 8. FROM BIG DATA TO LINKED OPEN DATA
- DIDACTIC UNIT 9. INTERNET OF THINGS
- MODULE 2. TECHNOLOGIES APPLIED TO BUSINESS INTELLIGENCE
- DIDACTIC UNIT 1. DATA MINING AND MACHINE LEARNING
- DIDACTIC UNIT 2. DATAMART. DEPARTMENTAL DATABASE CONCEPT
- DIDACTIC UNIT 3. DATAWAREHOUSE OR CORPORATE DATA STORE
- DIDACTIC UNIT 4. BUSINESS INTELLIGENCE AND ANALYTICAL TOOLS
- DIDACTIC UNIT 5. POWERBI TOOL
- DIDACTIC UNIT 6. TABLEAU TOOL
- DIDACTIC UNIT 7. QLIKVIEW TOOL
- MODULE 3. TOOLS FOR THE EXPLOITATION AND ANALYSIS OF BIG DATA
- DIDACTIC UNIT 1. NOSQL DATABASES AND SCALABLE STORAGE
- DIDACTIC UNIT 2. INTRODUCTION TO A NOSQL DATABASE SYSTEM. MONGODB
- DIDACTIC UNIT 3. DISTRIBUTED DATA PROCESSING WITH HADOOP
- DIDACTIC UNIT 4. WEKA AND DATA MINING
- DIDACTIC UNIT 5. PENTAHO AN OPEN SOURCE SOLUTION FOR BUSINESS INTELLIGENCE
- MODULE 4. INTRODUCTION TO STATISTICAL PROGRAMMING
- DIDACTIC UNIT 1. PYTHON AND DATA ANALYSIS
- DIDACTIC UNIT 2. R AS A TOOL FOR BIG DATA
- MODULE 5. DATA SCIENCE
- DIDACTIC UNIT 1. INTRODUCTION TO DATA SCIENCE
- DIDACTIC UNIT 2. RELATIONAL DATABASES
- DIDACTIC UNIT 3. PRE-PROCESSING & DATA PROCESSING
- DIDACTIC UNIT 4. DATA ANALYSIS
- MODULE 6. ARTIFICIAL INTELLIGENCE (AI), MACHINE LEARNING (ML) AND DEEP LEARNING (DL)
- DIDACTIC UNIT 1. INTRODUCTION TO ARTIFICIAL INTELLIGENCE
- DIDACTIC UNIT 2. TYPES OF ARTIFICIAL INTELLIGENCE
- DIDACTIC UNIT 3. ALGORITHMS APPLIED TO ARTIFICIAL INTELLIGENCE
- DIDACTIC UNIT 4. RELATIONSHIP BETWEEN ARTIFICIAL INTELLIGENCE AND BIG DATA
- DIDACTIC UNIT 5. EXPERT SYSTEMS
- DIDACTIC UNIT 6. FUTURE OF ARTIFICIAL INTELLIGENCE
- DIDACTIC UNIT 7. INTRODUCTION TO MACHINE LEARNING
- DIDACTIC UNIT 8. EXTRACTION OF DATA STRUCTURE: CLUSTERING
- DIDACTIC UNIT 9. RECOMMENDATION SYSTEMS
- DIDACTIC UNIT 10. CLASSIFICATION
- DIDACTIC UNIT 11. NEURAL NETWORKS AND DEEP LEARNING
- DIDACTIC UNIT 12. SYSTEMS OF ELECTION
- DIDACTIC UNIT 13. DEEP LEARNING WITH PYTHON, KERAS AND TENSORFLOW
- DIDACTIC UNIT 14. NEURAL SYSTEMS
- DIDACTIC UNIT 15. SINGLE LAYER NETWORKS
- DIDACTIC UNIT 16. MULTILAYER NETWORKS
- DIDACTIC UNIT 17. LEARNING STRATEGIES
- MODULE 7. PLN, CHATBOTS AND ARTIFICIAL INTELLIGENCE
- DIDACTIC UNIT 1. INTRODUCTION TO PLN
- DIDACTIC UNIT 2. PLN IN PYTHON
- DIDACTIC UNIT 3. COMPUTING THE SYNTAX FOR THE PLN
- DIDACTIC UNIT 4. COMPUTATION OF SEMANTICS FOR PLN
- DIDACTIC UNIT 5. RECOVERY AND EXTRACTION OF INFORMATION
- DIDACTIC UNIT 6. WHAT IS A CHATBOT?
- DIDACTIC UNIT 7. RELATIONSHIP BETWEEN AI AND CHATBOTS
- DIDACTIC UNIT 8. AREAS OF APPLICATION CHATBOTS
- MODULE 8. WEB ANALYTICS
- DIDACTIC UNIT 1. INTRODUCTION TO WEB ANALYTICS
- DIDACTIC UNIT 2. GOOGLE ANALYTICS 4
- DIDACTIC UNIT 3. GOOGLE TAG MANAGER
- DIDACTIC UNIT 4. ATTRIBUTION MODELS
- DIDACTIC UNIT 5. CREATION OF DASHBORAD WITH GOOGLE DATA STUDIO
- DIDACTIC UNIT 6. WEB ANALYTICS ORIENTED TO SEO
- DIDACTIC UNIT 7. SEM-ORIENTED WEB ANALYTICS
- DIDACTIC UNIT 8. WEB ANALYTICS ORIENTED TO SOCIAL NETWORKS
- DIDACTIC UNIT 9. TECHNIQUES AND STRATEGIES
- DIDACTIC UNIT 10. OTHER TOOLS FOR WEB ANALYTICS
- DIDACTIC UNIT 11. COOKIES AND MONITORING TECHNOLOGIES
- MODULE 9. FINAL DEGREE PROJECT
curso gratuito le prepara para ser Big Data and Business Intelligence are booming technologies and highly demanded by all companies. Therefore, thanks to this Official Master's Degree in Big Data and Business Analytics you will be able to work as a Big Data systems consultant/auditor, data analyst, Python programmer for data analysis, data visualization expert or Web analyst.
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