This if the final course in the specialization which builds upon the knowledge learned in Python Programming Essentials, Python Data Representations, and Python Data Analysis. We will learn how to install external packages for use within Python, acquire data from sources on the Web, and then we will clean, process, analyze, and visualize that data. This course will combine the skills learned throughout the specialization to enable you to write interesting, practical, and useful programs. By the end of the course, you will be comfortable installing Python packages, analyzing existing data, and generating visualizations of that data. This course will complete your education as a scripter, enabling you to locate, install, and use Python packages written by others. You will be able to effectively utilize tools and packages that are widely available to amplify your effectiveness and write useful programs.

This course will introduce the core data structures of the Python programming language. We will move past the basics of procedural programming and explore how we can use the Python built-in data structures such as lists, dictionaries, and tuples to perform increasingly complex data analysis. This course will cover Chapters 6-10 of the textbook “Python for Everybody”. This course covers Python 3.

This course provides an unique opportunity for you to learn key components of text mining and analytics aided by the real world datasets and the text mining toolkit written in Java. Hands-on experience in core text mining techniques including text preprocessing, sentiment analysis, and topic modeling help learners be trained to be a competent data scientists. Empowered by bringing lecture notes together with lab sessions based on the y-TextMiner toolkit developed for the class, learners will be able to develop interesting text mining applications.

A frontend application is expected to have an attractive, responsive UI and a seamless UX with swift navigable views. Single Page Applications (SPAs) fulfill these expectations as they are lighter and efficient. React, a popular JavaScript library is used for developing complex user interfaces for single page applications (SPAs). Facebook, Instagram, Netflix, Airbnb etc., are some of the famous websites that use React. In this course, you will learn to construct an SPA by developing reusable and testable React Class components. The library helps you explore React features that enhance the performance of web applications by enabling partial page updates.

By the end of this project, you will have written and tested JavaScript and HTML code that validates data values entered into input fields on an HTML form. Data validation is a valuable skill in web development. Notifying users of input errors not only improves the user experience it also helps to ensure that any data collected via a form is as accurate as possible before sending it to a server for processing. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this 1-hour long guided project, you will learn how to use the "What-If" Tool (WIT) in the context of training and testing machine learning prediction models. In particular, you will learn a) how to set up a machine learning application in Python by using interactive Python notebook(s) on Google's Colab(oratory) environment, a.k.a. "zero configuration" environment, b) import and prepare the data, c) train and test classifiers as prediction models, d) analyze the behavior of the trained prediction models by using WIT for specific data points (individual basis), e) moving on to the analysis of the behavior of the trained prediction models by using WIT global basis, i.e., all test data considered. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this 1 hour long project based course, you will learn to save, load and restore models with Keras. In Keras, we can save just the model weights, or we can save weights along with the entire model architecture. We can also export the models to TensorFlow's Saved Mode format which is very useful when serving a model in production, and we can load models from the Saved Model format back in Keras as well. In order to be successful in this project, you should be familiar with python programming, and basics of neural networks. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

In this 1-hour 30-minutes long project-based course, you will learn how to (identify different data types in java, conditional statements , scanner input & iteration loops). Through the virtual book store project you can choose the book you want from the preferred genre and the best price range that suits you. By first an interactive menu appear to the user to enter his preferred genre of the book( crime, drama), then another menu appear when he enters his genre preference, to choose his price range ( cheap , expensive ). Then another menu appear showing him the option that he can buy per his choice of genre and price range. Note: This project works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.

This course provides foundational understanding of how computers process information through hardware and software. You will investigate the world of Information Technology (IT) and survey hardware components, mobile devices, operating systems, programs and apps, network fundamentals, the Internet, and touch on security and ethics.

By the end of this project you will have used LibreOffice Draw to flowchart a process. Flowcharts are commonly used to design new programs and systems by using symbols and arrows to show the flow of the steps in a process. Flowcharts are great visual tools for analyzing and documenting a process. Note: This course works best for learners who are based in the North America region. We’re currently working on providing the same experience in other regions.