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The Data Science Certification course in Hyderabad gives you an insight into data, including visualization of various datasets and allows you to acquire in-depth knowledge of data science through our live-instructor led sessions. With Edureka’s training in Hyderabad, you will also learn the importance of data science, what is data science and its lifecycle, tools of data science, the era of Data Science and R, what is machine learning, extraction, wrangling, and exploration. Click here to know more about the course curriculum.
Edureka provides the most extensive Data Science course at the market in Hyderabad, covering the full Data Science lifecycle concepts from Data Collection, Data Extraction, Data Cleaning, Data Exploration, Data Transformation, Feature Engineering, Data Integration, Data Mining, Building Prediction Models, Data Visualization and Customer Deployment. The learning objective of this course is to have in-depth knowledge of Data Science lifecycle, and real-time industry projects which will be executed in Rstudio. Strong participation of SME throughout the data science training to learn industry norms and best practices Click here to know more about the course description.
Data science is a "concept to unify statistics, data analysis and their related methods" to "understand and analyse actual phenomena" with data. Data Science Training employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science from the sub-domains of machine learning, classification, cluster analysis, data mining, databases, and visualization. The Data Science Certification Course enables you to gain knowledge of the entire life cycle of Data Science, analyse and visualise different data sets, different Machine Learning Algorithms like K-Means Clustering, Decision Trees, Random Forest, and Naive Bayes.
There is no specific pre-requisite for Data Science Training. However, a basic understanding of R can be beneficial. Edureka offers you a complimentary self-paced course, i.e. "R Essentials" when you enroll in Data Science Training.
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