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Data Science Bootcamp with Computer Programming Language

 Data Science Bootcamp with Computer Programming Language

Udemy Coupon ED | Data Science Bootcamp with Computer Programming Language

This is a Complete Data Science Course w/ Application of Computer Programming Language: Bootcamp Course on Data Science Get Coupon
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What you'll learn
  • Students will be able to learn the very basics of Python.
  • Students will be able to install and Set-up Python.
  • Students will be able to understand the different IDEs, and Libraries of Python that are useful in Data Science Projects.
  • Students will be able to learn and understand Python's Data Structures, Comparisons Operators, Statements, Methods and Functions, etc.
  • Students will be able to learn about Python's Lambda and Nested Expressions.
  • Students will be able to learn about Python's Object Oriented Programming, Libraries, Modules and Packages and other Advanced Functions.
  • Students will be able to use Python for the Capstone Project in Data Science
  • Students will be able to Learn the basic to advanced considerations in Data Science.
  • Students will be able to learn the Database and SQL for Data Science
  • Students will be able to know more about Data Analysis, Data Wrangling, and Exploratory Data Analysis
  • Students will be able to learn more on Model Development, Model Evaluation and Refinement
 Description
 
Data Science as I always define is not about writing a very complicated script or code.
Data Science is making use of data to generate insights which provides an impact and value for a company. Value could be in the form of a products that can offer by the company to their stakeholders in exchange of a revenue, it could be in the form of a products that will help improve Business processes. It could be in the form of a product recommendations for the company.
Data is an essential driver for growth and transformation initiative of every organizations; thus, it is a must to build and develop framework and infrastructure to organize and manage data. To effectively handle and manage Big Data, they will be needing tools such as MapReduce, Hadoop, Spark, and many others. One must need someone who understand the engineering and architecture of Big Data, thus the rise of Data Architect and Data Engineer.
Once the Architecture and Engineering of Big Data was established, Data Scientist can now make use of data to generate insights for the company and their stakeholders. Building a scalable dashboard for the company, building a data-driven model, attrition model for Human Resources, Improve Business Processes, fraud detection algorithm, Automation, Build and Develop Artificial Intelligence Applications, Build a Machine Learning Algorithms, Virtual Reality, Internet of things, and many other products and services are only few among the abilities and competencies of a Data Scientist.

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