Philadelphia Data Science Bootcamp Omni212

Philadelphia Data Science Bootcamp Omni212
Now become an Omni212 Prime member and get 0 off every training course published by Omni212 on eventbrite  Sign up for Omni212 Prime membership:  To see all published Omni212 courses – type 'Philadelphia Omni212' in the search box. Course Overview This Data Science course will help 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. Video Conference details Will be sent upon Registration and Payment Who can take this course? Anyone who wants to know more about data science so it can help with their current job, or those who want to build a career in Data Science or  become a Data Scientist. Why Data Science Prerequisites Training from Omni212? 1. Omni212 has a Data Science consulting practice2. Our Instructor has a Ph.D. in Data Science3. Upon Registration and payment, immediate access to the course material on the cloud is provided. 4. Class recordings for this class will be made available. 5. Post class support6. Course material available. 7. Every topic includes slides, code example, video and home assignments8. Career advancement and Job placement assistance Training Session Details There will be 8 online sessions, each session being 2 hours. Every session will have presentation about theory, concepts and technology, followed by Hands-on Lab practice exercises. Training Dates August 7,10,14,17,21,24,28,31 Times: Mon and thu | 6:30 PM – 8:30 PM (Pacific Standard Time) Each session will be recorded and the recordings will be shared after each session with students  Prerequisite Prerequisite Course for Data Science class – Software access Proper software access will be provided. Students will carry out the hands-on lab exercises with instructor guidance. Course Outline 1. Data Preprocessing 2. Linear And Logistic Regression Models. 3. Decision Trees and Random Forest. 4. Naive Bayes and Support Vector Machine. 5. K-means and Hierarchical Clustering. 6. Natural Language Processing. 7. Artificial Neural Networks. 8. Convolutional Neural Network. Class Size: Maximum 22 Price: 5 REFUND POLICY 1. There are no refunds. 2. If for any reason, students decide not to take this class, the class is rescheduled or cancelled, the payment can be applied towards any future course by Omni212.  Keywords: Philadelphia Data Science Course, Philadelphia Data Science class, Philadelphia Data Science, Philadelphia Data Science Training

at Instructor led Online | Video Conference
Philadelphia, United States

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