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Data Science is all about extracting the valuable information from the huge data using the statistical, mathematical, analytical, computer science and economics rules and principles that helps the organization to make a valuable decision. The main role of data scientist is to analyze the entire data and find out the problems and try to provide a solution to them that earns the value to an organization. For doing all this, Data scientist must possess a strong and combined knowledge of machine learning, data mining, analysis and statistical skills in addition with an experience with coding and algorithm.
To register for our IT training courses in USA please call us on 1 904-304-2519 or send an email to info@iqtrainings.com
Website: http://www.iqonlinetraining.com/

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    1. Data Science Online Training IQ online training facility offers Data Science online training by trainers who have expert knowledge in the Data Science and proven record of training hundreds of students. Our Data Science training is regarded as the best online training by our students and corporate clients. We are training partners for corporate clients like IBM. We train students from across all countries like USA, UK, Singapore, UAE, Australia, and India. Our Data Science training is your one stop solution to Learn, Practice and build career in this field at the comfort of your Home with flexible class schedules. IQ Training offers the Data Science OnlineCourse in a true global setting. Course Contents: 1. Introduction to Analytics  What is Analytics?  Popular Tools  Role of the Data Scientist  Analytics Methodology  Problem Definition 2. Statistical Concepts and their Application in Business  Descriptive Statistics  Probability Theory  Tests of Significance  Non-parametric Testing 3. Basic Analytic Techniques - Using the language of SAS & R  Introduction  Data Exploration  Data Preparation 1Data Science Online Training | www.iqonlinetraining.com

    2. Data Visualization  Analytics 4. Predictive Modeling Techniques  Linear Regression  Logistic Regression  Cluster Analysis  Decision Trees  Time Series Analysis 5. Putting the Jigsaw Together  Model Validation  Creating Insights from Statistics  Online Resources  Connecting with the Analytics Community 2Data Science Online Training | www.iqonlinetraining.com