Data Science using Python

Overview

Data science is a new field of study that combines statistics, computer programming, mathematics, and business analytics. It has become increasingly popular because of the availability of large amounts of data. This course will teach you how to use Python to analyze data sets. Data Science is an interdisciplinary field that combines statistics, computer programming, mathematics, and other quantitative fields. It is used in many different industries for predictive modeling, decision making, and optimization. This course will teach you how to use Python to analyze large amounts of data.

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Introduction to Data Science Using Python

In this course, we will learn how to use Python to perform data analysis tasks such as regression, classification, clustering, and visualization. We will also cover topics such as linear algebra, probability theory, machine learning, and more. By the end of this course, you will be able to apply these skills to real world problems.

Types and uses of data Science using R

Data science is an emerging field that combines statistics with computer programming. It has become increasingly popular because of the availability of large amounts of data and the need to analyze them quickly. This course covers the basics of data science, including what data science is, why it is needed, and how it works. You will learn how to use statistical software packages (such as R) to perform data analysis tasks.

Machine Learning Algorithms

In addition to learning how to use these tools, you will also learn how to apply machine learning algorithms to real world problems. These algorithms allow computers to make predictions based on past observations. They are used in fields such as medicine, finance, and retail.

Deep Learning

This course teaches you how to build deep neural networks (DNN) using the popular open source library Keras. You will start by building a simple DNN model that classifies images into two categories: cats and dogs. Then you will move on to more complex models that classify images into multiple classes.

Natural Language Processing

In this course, you will learn how to use natural language processing (NLP) techniques to analyze text documents. You will first learn how to read and understand text documents using NLP techniques. Next, you will learn how NLP techniques can help you extract meaningful information from unstructured text. Finally, you will learn how you can apply these techniques to solve real world problems.

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