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data science ppt

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

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data science ppt

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  1. Data Science with Python Certification Training Course With Placement Assurance This This Photo by Unknown Author is licensed under CC BY

  2. Data Science Course Objectives • 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 •  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 This Photo by Unknown Author is licensed under CC BY-SA

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

  4. R Programming • 1: Introduction to R Programming Language • 2: Data handling in R • 3: More data handling using R • 4: Additional functions of R This Photo by Unknown Author is licensed under CC BY-SA

  5. Machine Learning with Python • 1:Introduction to Python Programming Language • 2: Data handling in Python • 3: More data handling using Python • 4: Additional functions of Python • 5: Statistic • 6: Linear Regression • 7: Linear Regression Practice Case Study • 8: Logistic Regression • 9: Logistic Regression Practice Case Study • 10:Time Series Forecasting • 11: Cluster Analysis • 12: Decision Tree and Random Forest

  6. Data Analytics with MS-excel • 1: Introduction to Excel • 2: Different Functionalities of MS Excel • 3: Analytics with Excel • 4: Advanced Analytics with Excel This Photo by Unknown Author is licensed under CC BY-NC-ND

  7. 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.

  8. Contact Us: M: +91 9069980888 E-mail- info@apponix.com • Corporate Office:: 306, 10th Main, 46th Cross, 4th Block Rajajinagar, Bangalore - 560010  www.apponix.com

  9. www.apponix.com

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