Data Science: Real-time Exercises
H2kinfosys offering Data Science - Real-time Exercises
About Data Science: Real-time Exercises Course
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This course gives you a complete overview of what it entails to be a Data Scientist. In this course you will learn about cleaning and preparing your data for analysis, performing basic visualization of your data, modelling your data, curve-fit your data and ultimately about presenting your findings to the audience. This course will prepare you for the real-world Data Science scenarios by giving you sufficient practical exercises and assignments. In addition, tools like SQL, SSIS, Tableau and Gretl are also covered.
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• I.T. career aspirants who wish to kickstart their career in one of the hottest technologies in the market
• Architects, software administrators, developers, testers who want to build an effective data processing application or perform big data analysis
• ETL developers who wish to add an additional technology in their skillset on data management
Data Science: Real-time Exercises Course Syllabus
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• Introduction
• Visualization
• Introduction to Tableau
• Tableau for Data Mining
• Advanced Data Mining
• Modelling
• Stats Refresher
• Simple Linear Regression
• Multiple Linear Regression
• Logistic Regression
• Building a robust geo-demographic segmentation model
• Assessing your model
• Drawing insights from your model
• Model maintenance
• Data Preparation
• BI tools
• Data Wrangling before the load
• Uploading data using SSIS
• Handling errors during ETL
• SQL programming
• Data Wrangling after the load
• Handling errors during ETL
• Communication
• Working with people
• Presenting for Data Scientists
Interview Questions
Interview questions not provied yet
Sample Resumes
Sample resumes not provied yet
