- Instructor: Prof. Rajanikanth
- Lectures: 11
- Quizzes: 4
- Students: 3
- Duration: 10 weeks
AppsTek’s Data Science courses will introduce complete life cycle concepts such as planning, cleaning data, data analysis, modelling and finally deployment, maintenance and optimization. Mining of massive datasets, Predictive Model Building, Data Visualization will create ambient environment leading to measurable learning for the student.
Data Science is a field that combines mathematics, statistics, core programming, numerical scientific computations, visualization and applies scientific methods to business domains or problems like predicting future customer behaviour, sentiment analysis or recognize speech patterns.
AppsTek has studied market conditions as well as the quality of the training offered by several – both in a formal and unorganized way.
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Overview
In this section we'll show you how this course has been structured and how to get the most out of it. We'll also show you how to solve the exercises and submit quizzes.
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Basics
In this section you'll learn some basic concepts of programming languages and how to use them. You'll also learn how to write clean code using different code editors and tools.
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Lecture 2.1Working with Strings – Part 640m
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Lecture 2.2Working with Numbers – Part 635m
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Lecture 2.3Tuples, Sets, and Booleans – Part 620m
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Lecture 2.4Regular Expressions – Part 620m
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Lecture 2.5Version Control – Part 630m
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Quiz 2.1Function Exercises – Part 610m
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Quiz 2.2Model Forms Exercise – Part 610m
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Quiz 2.3AIML Session 1 – Assessment 110m
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Lecture 2.1AI & Machine Learning assignment3 Days
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Advanced
In this section you'll learn some core concepts of Object Oriented Programming. You'll also learn how to structure the data, debug and handling exceptions.
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Conclusion
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