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23 - Jun
(Nearby Event: )
Where:Business Hotel/Regus, El Paso, Texas, United States
Key Features: 32 hours of Online training 100% Money Back Guarantee Real-life case studies Life time access to Learning Management System (LMS) Practical Assignments Certification: Global Tec certifies you based on the project. 24/7 customer support About Data Science Certification Training Global Tec's Data Science course helps you gain expertise in Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, Naive Bayes using R. You'll learn the concepts of Statistics, Time Series, Text Mining and an introduction to Deep Learning. You'll solve real life case studies on Media, Healthcare, Social Media, Aviation, HR. Who Should Apply? The training is a best fit for: IT professionals interested in pursuing a career in analytics Graduates looking to build a career in analytics and data science Experienced professionals who would like to harness data science in their fields Anyone with a genuine interest in the field of data science Data Science Certification Training - Course Agenda Introduction to Data Science Goal - Get an introduction to Data Science in this Module and see how Data Science helps to analyze large and unstructured data with different tools. Objectives - At the end of this Module, you should be able to: • Define Data Science • Discuss the era of Data Science • Describe the Role of a Data Scientist • Illustrate the Life cycle of Data Science • List the Tools used in Data Science • State what role Big Data and Hadoop, R, Spark and Machine Learning play in Data Science Topics: • What is Data Science? • What does Data Science involve? • Era of Data Science • Business Intelligence vs Data Science • Life cycle of Data Science • Tools of Data Science • Introduction to Big Data and Hadoop • Introduction to R • Introduction to Spark • Introduction to Machine Learning Statistical Inference Goal - In this Module, you should learn about different statistical techniques and terminologies used in data analysis. Objectives - At the end of this
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