With this course in Information Sciences, you will master fluently how to clean and prepare data to be analyzed, how to perform the respective visualization of them, how to organize them, how to process them.
In this information science course you will learn:
• what is data science.
• about clustering.
• Python for data science.
• R programming.
• data subset.
• mining association rules, decision tree classification, data loading technique in Hadoop.
• parallel processing.
• other related topics.
Suitable for all people interested in data science, people who want to improve their skills in data mining, anyone who wants to learn about the topics taught in this course.
Programa del curso
Clase 1: Data science tutorial for beginners - 1 | what is data science? | data analytics tools | edureka
Clase 2: Data science tutorial-1| data science tutorial for beginners-1 | edureka
Clase 3: Data science tutorial for beginners - 2 | data science with r | data analytics tools | edureka
Clase 4: What is data science ? | edureka
Clase 5: Introduction to data science | data science tutorial | edureka
Clase 6: Data scientist skills | edureka
Clase 7: K means clustering part - 1 | k means clustering algorithm tutorial - 1 | data science | edureka
Clase 8: K means clustering part - 2 | k means clustering algorithm tutorial - 2 | data science | edureka
Clase 9: Python for data science
Clase 10: Introduction to r programming | edureka
Clase 11: Why r? | edureka
Clase 12: Introduction to data subsetting | indexing | edureka
Clase 13: Association rule mining | data science | edureka
Clase 14: Decision tree analysis in excel and r | decision tree tutorial | data science | edureka
Clase 15: Random forest classifier | data science | edureka
Clase 16: Introduction to functions in r | edureka
Clase 17: Understanding hadoop streaming | data science | edureka
Clase 18: Supervised learning | data science | edureka
Clase 19: Naive bayes classifier | data science | edureka
Clase 20: Problem datasets in data science | edureka
Clase 21: Introduction to rhdfs | edureka
Clase 22: Introduction to rmr | data science | edureka
Clase 23: Data science tutorial for beginners | edureka
Clase 24: Decision tree examples | edureka
Clase 25: Understanding decision tree algorithm | edureka
Clase 26: Introduction to decision tree | edureka
Clase 27: Rhadoop - integrating r with hadoop | how to integrate r, hadoop | r programming tutorial | edureka
Clase 28: Data science jobs | why data science | career in data science | data science tutorial | edureka
Clase 29: Data science and big data analytics | learn data science | data science tutorial | edureka
Clase 30: Naive bayes classifier tutorial | naive bayes classifier in r | naive bayes classifier example
Clase 31: Random forests in r | random forests tutorial | random forest classifier | r tutorial for beginners
Clase 32: Data loading techniques in hadoop | learn data science | data science tutorial
Clase 33: Implementing machine learning algorithms on larger data sets with apache mahout | learn data science
Clase 34: Parallel processing tutorial | mahout algorithms and parallel processing using r | foreach in r
Clase 35: Develop a data science project | solving a data science problem | data science tutorial | edureka
Clase 36: Machine learning techniques for data science | machine learning tutorial 1 | data science tutorial
Clase 37: Understand r | analytics using r in hadoop | r for data science | edureka
Clase 38: Data science the sexiest job | career opportunities | advantages of data science | edureka
Clase 39: Data science: applying random forest | random forest tutorial | data science tutorial | edureka
Clase 40: Top 5 algorithms used in data science | data science tutorial | data mining tutorial | edureka
Clase 41: Data scientist - data science jobs, career | is data science really the sexiest job of 21st century?
Clase 42: What is data science? data science course - data science tutorial for beginners | edureka
Edureka is a live and interactive e-learning platform that is revolutionizing professional online education. Edureka offers instructor-led courses supported by online resources, along with 24/7 on-demand support. It gives professionals the flexibility to learn at their own time and location, even from their mobile devices. Edureka also provides real-life project scenarios designed and evaluated by industry experts.