Jan 15, 2019 | 9:00 AM | Tuesday
Community: Downtown Louisville
Key Features 30 hours of Interactive Class Mock Exams and Mock Projects Group Activities for better reinforcement Real world examples from various industries Industry based case studies Life time access to classroom recordings (for Online class customers only) 24/7 cus
30 hours of Interactive Class
Mock Exams and Mock Projects
Group Activities for better reinforcement
Real world examples from various industries
Industry based case studies
Life time access to classroom recordings (for Online class customers only)
24/7 customer support
About the Course
Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyze actual phenomena" with data. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the subdomains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Training enables you to gain knowledge of the entire Life Cycle of Data Science, analyzing and visualizing different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
Who needs to attend?
The course is designed for all those who want to learn about the life cycle of Data Science, which would include acquisition of data from various sources, data wrangling and data visualization. Applying Machine Learning techniques in R language, and wish to apply these techniques on different types of Data.
The following professionals can go for this course:
1. Developers aspiring to be a 'Data Scientist'
2. Analytics Managers who are leading a team of analysts
3. Business Analysts who want to understand Machine Learning (ML) Techniques
4. Information Architects who want to gain expertise in Predictive Analytics
5. 'R' professionals who want to captivate and analyze Big Data
7. Analysts wanting to understand Data Science methodologies
What is this course about?
The incorporation of technology in our everyday lives has been made possible by the availability of data in enormous amounts. Data is drawn from different sectors and platforms including cell phones, social media, e-commerce sites, various surveys, internet searches, etc.
However, the interpretation of vast amounts of unstructured data for effective decision making may prove too complex and time consuming for companies, hence, the emergence of Data Science.
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