LasComp

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intended for...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=144896&_unique_id=648ebeca56519&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=143236&_unique_id=648596ba1fac4&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...

Description Of The Program: This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the Big Data. Curriculum is designed for student who wants to be data scientist to handle enterprise database. This program allows students to obtain knowledge of data analysis, data models, management, storage, retrieval, data architects, and data warehouse. Also student will learn how to utilize the right tools and techniques to capture and organize a wide variety of data types from different sources (both structured and un-structured), and to be able to easily analyze it within the context of all enterprise data. This is the combination program of Database Development, Business Intelligence, Administration, Data Warehouse, Data Analysis, Data Modeling, and Data Architects. Description of Unique Features Of The Program: This program required 400 hours of classes and 600 hours of lab/test preparation. After finishing this pr...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=137666&_unique_id=6467039e190d2&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=137386&_unique_id=64657cc07ae52&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intended for...

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...

Description Of The Program: This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the Big Data. Curriculum is designed for student who wants to be data scientist to handle enterprise database. This program allows students to obtain knowledge of data analysis, data models, management, storage, retrieval, data architects, and data warehouse. Also student will learn how to utilize the right tools and techniques to capture and organize a wide variety of data types from different sources (both structured and un-structured), and to be able to easily analyze it within the context of all enterprise data. This is the combination program of Database Development, Business Intelligence, Administration, Data Warehouse, Data Analysis, Data Modeling, and Data Architects. Description of Unique Features Of The Program: This program required 400 hours of classes and 600 hours of lab/test preparation. After finishing this pr...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-montvale/?feed_id=134229&_unique_id=645426f4e49c7&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20-%20Montvale

Description Of The Program: This program is of interest to anyone who wants to use the powerful capabilities of relational databases in conjunction with the Big Data. Curriculum is designed for student who wants to be data scientist to handle enterprise database. This program allows students to obtain knowledge of data analysis, data models, management, storage, retrieval, data architects, and data warehouse. Also student will learn how to utilize the right tools and techniques to capture and organize a wide variety of data types from different sources (both structured and un-structured), and to be able to easily analyze it within the context of all enterprise data. This is the combination program of Database Development, Business Intelligence, Administration, Data Warehouse, Data Analysis, Data Modeling, and Data Architects. Description of Unique Features Of The Program: This program required 400 hours of classes and 600 hours of lab/test preparation. After finishing this pr...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-virtual/?feed_id=133889&_unique_id=64523d77a890f&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20%28Virtual%29

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intended for...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification-hackensack/?feed_id=132973&_unique_id=644dd8f75e51b&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification%20-%20Hackensack

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...

Description Of The Program: Data Science and big data analytics is an 'open' course that provides an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. This course prepare for your Professional Data Scientist Associate (EMCDSA) certification. Description of Unique Features Of The Program: This program required 40 hours classes and 80 hours lab and test preparation. This course prepares for your Professional Data Scientist Associate (EMCDSA) certification. (Some test might required working experience beside of training) https://www.liit.com/course/data-science-big-data-analytics-certification/?feed_id=131578&_unique_id=64476f1f3a8ae&Data%20Science%20%26%20Big%20Data%20Analytics%20Certification

Overview This course provides practical foundation level training that enables immediate and effective participation in big data and other analytics projects. It includes an introduction to big data and the Data Analytics Lifecycle to address business challenges that leverage big data. The course provides grounding in basic and advanced analytic methods and an introduction to big data analytics technology and tools, including MapReduce and Hadoop. Labs offer opportunities for students to understand how these methods and tools may be applied to real world business challenges by a practicing data scientist. The course takes an “Open”, or technology-neutral approach, and includes a final lab which addresses a big data analytics challenge by applying the concepts taught in the course in the context of the Data Analytics Lifecycle. The course prepares the student for the Proven™ Professional Data Scientist Associate (EMCDSA) certification exam. Audience This course is intend...