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Data Science Courses

https://www.apponix.com/data-science-courses

Pradeep5
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Data Science Courses

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  1. www.Apponix.com

  2. Data Science Course Objectives • Cluster Analysis •  Decision Tree •  Random Forest •  Case studies on Machine Learning (18 case studies) •  SQL queries(with Python) •  Business Presentation of Technical Solution in-front of end client. •  Robotic Automation(with Python) •  CV Building activities •  Interview preparation •  Mock Interview sessions • Python full coding from scratch •  Visualization with Python •  Statistics - theory and application in business •  Machine Learning with Python - 6 different algorithms •  Multiple Linear regression •  Logistic regression •  Variable Reduction Technique - Information Value •  Forecasting - ARIMA www.Apponix.com

  3. Data Science Course Syllabus • Machine Learning with Python • R Programming • Data Analytics with MS-excel www.Apponix.com

  4. Salary expectation after completing Data Science course As there is a growing demand for Data Science Engineers, the salary is also constantly increasing for Data Science skills,As per payscale.com Average salary for Data Scientist is Rs 9,12,453 Per year. Career after Data Science course Large number of IT companies spread across World, you should not have any doubt on shortage of Data Science jobs. IT technologies is growing and there a huge demand for Data Science engineers. Data Science has more than 70% of the markets share in terms of providing services. www.Apponix.com

  5. Data Science Job Responsibilities • Modify existing databases and database management systems (DBMS) or instruct programmers and other analysts to make essential changes. • Write and code logical and physical database descriptions and specify identifiers of database to management system or direct other colleagues in coding descriptions. • Review project requests describing database user needs to estimate time and cost required to accomplish project. • Review data results to ensure accuracy. Configure data visualizations for stakeholders • Provide data analysis and standard reporting support, which includes the ability to extract data from various sources and data stores by executing light business coding (SQL, VBA, Unix, etc.) and system parameter setting, perform ad-hoc queries and develop/automate financial/statistical models using a variety of known software applications and tools (Excel, Access, etc.) • Support the use of data science and machine learning within the various PSE engineering DevOps teams. • Manipulate and analyze complex, high-volume, high-dimensionality data from varying sources using a variety of tools and data analysis techniques • Translates business requirements throughout the development process, delivers solutions in accordance with business strategies, standards, and processes. • Develop business cases for R&D initiatives, provides expert advice to product managers, developers, architects and business partners on data science use cases and options. • Architect highly scalable distributed systems, using different open source tools. • Working with lambda architectures and batch and real-time data streams. • Understand high performance algorithms and Python statistical software and brief team. www.Apponix.com

  6. Head Office - Bangalore 306, 10th Main, 46th Cross, 4th Block Rajajinagar, Bangalore - 560010 M: +91 8050580888 info@apponix.com www.Apponix.com

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