Science data tutorial

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.

Metas de aprendizaje
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
47:42:18
Unidad 1: Contenido
Clase 1: Data science tutorial for beginners - 1 | what is data science? | data analytics tools | edureka
02:32:56
Clase 2: Data science tutorial-1| data science tutorial for beginners-1 | edureka
00:56:59
Clase 3: Data science tutorial for beginners - 2 | data science with r | data analytics tools | edureka
02:46:01
Clase 4: What is data science ? | edureka
00:14:54
Clase 5: Introduction to data science | data science tutorial | edureka
00:17:41
Clase 6: Data scientist skills | edureka
00:02:42
Clase 7: K means clustering part - 1 | k means clustering algorithm tutorial - 1 | data science | edureka
00:51:38
Clase 8: K means clustering part - 2 | k means clustering algorithm tutorial - 2 | data science | edureka
01:20:47
Clase 9: Python for data science
00:03:18
Clase 10: Introduction to r programming | edureka
00:37:57
Clase 11: Why r? | edureka
00:02:41
Clase 12: Introduction to data subsetting | indexing | edureka
00:05:44
Clase 13: Association rule mining | data science | edureka
00:43:22
Clase 14: Decision tree analysis in excel and r | decision tree tutorial | data science | edureka
01:17:07
Clase 15: Random forest classifier | data science | edureka
00:11:51
Clase 16: Introduction to functions in r | edureka
00:07:56
Clase 17: Understanding hadoop streaming | data science | edureka
00:15:16
Clase 18: Supervised learning | data science | edureka
00:17:31
Clase 19: Naive bayes classifier | data science | edureka
00:08:04
Clase 20: Problem datasets in data science | edureka
00:41:40
Clase 21: Introduction to rhdfs | edureka
00:06:34
Clase 22: Introduction to rmr | data science | edureka
00:05:50
Clase 23: Data science tutorial for beginners | edureka
00:28:29
Clase 24: Decision tree examples | edureka
00:13:24
Clase 25: Understanding decision tree algorithm | edureka
00:20:29
Clase 26: Introduction to decision tree | edureka
00:10:50
Clase 27: Rhadoop - integrating r with hadoop | how to integrate r, hadoop | r programming tutorial | edureka
01:10:20
Clase 28: Data science jobs | why data science | career in data science | data science tutorial | edureka
00:10:40
Clase 29: Data science and big data analytics | learn data science | data science tutorial | edureka
01:23:03
Clase 30: Naive bayes classifier tutorial | naive bayes classifier in r | naive bayes classifier example
01:00:29
Clase 31: Random forests in r | random forests tutorial | random forest classifier | r tutorial for beginners
00:41:59
Clase 32: Data loading techniques in hadoop | learn data science | data science tutorial
00:15:47
Clase 33: Implementing machine learning algorithms on larger data sets with apache mahout | learn data science
02:13:15
Clase 34: Parallel processing tutorial | mahout algorithms and parallel processing using r | foreach in r
00:57:13
Clase 35: Develop a data science project | solving a data science problem | data science tutorial | edureka
00:54:35
Clase 36: Machine learning techniques for data science | machine learning tutorial 1 | data science tutorial
02:43:55
Clase 37: Understand r | analytics using r in hadoop | r for data science | edureka
03:18:18
Clase 38: Data science the sexiest job | career opportunities | advantages of data science | edureka
00:22:29
Clase 39: Data science: applying random forest | random forest tutorial | data science tutorial | edureka
00:24:00
Clase 40: Top 5 algorithms used in data science | data science tutorial | data mining tutorial | edureka
01:13:27
Clase 41: Data scientist - data science jobs, career | is data science really the sexiest job of 21st century?
01:27:38
Clase 42: What is data science? data science course - data science tutorial for beginners | edureka
01:03:05
Clase 43: K-means clustering algorithm - cluster analysis | machine learning algorithm | data science |edureka
00:50:19
Clase 44: Decision tree algorithm & analysis | machine learning algorithm | data science training | edureka
01:21:31
Clase 45: Random forest tutorial | random forest in r | machine learning | data science training | edureka
01:07:14
Clase 46: Linear regression algorithm | linear regression in r | data science training | edureka
00:57:06
Clase 47: Logistic regression in r | machine learning algorithms | data science training | edureka
01:09:12
Clase 48: What is deep learning | deep learning simplified | deep learning tutorial | edureka
00:27:40
Clase 49: Data science training | introduction to data science | data science certification | edureka
01:23:56
Clase 50: Machine learning algorithms | machine learning tutorial | data science training | edureka
00:45:16
Clase 51: Naive bayes classifier tutorial | naive bayes classifier example | naive bayes in r | edureka
01:04:06
Clase 52: Sentiment analysis in r | sentiment analysis of twitter data | data science training | edureka
00:46:16
Clase 53: Data science tutorial | data science for beginners | data science training | edureka
01:30:58
Clase 54: Data science interview questions | data science tutorial | data science interviews | edureka
01:22:50
Clase 55: Time series in r | time series forecasting | time series analysis | data science training | edureka
00:34:00
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Clases en video prácticas
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Profesor edureka!
573 estudiantes
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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.
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