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Our Courses
Creating a Supermarket App Using Python
By the end of this project, you will be able to code a fully functioning supermarket system using Python programming language.
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Course by
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Self Paced
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4 hours
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English
Prompt Engineering with GPT: Programming for Custom Content
Ever wondered how we can use AI in programing to make our workloads easier? In this 2-hour long project-based course, you will master the art of prompt engineering to design an educational tool using the capabilities of OpenAI's GPT-3 language model. You will be creating a multiple-choice quiz generator using Python and GPT-3. You will write a Python script from scratch that is able to generate a custom multiple-choice exam, capable of dynamically adjusting the topic, number of questions, and number of potential answers.
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Course by
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Self Paced
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2 hours
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English
Programming for Everybody (Getting Started with Python)
This course is a "no prerequisite" introduction to Python Programming. You will learn about variables, conditional execution, repeated execution and how we use functions. The homework is done in a web browser so you can do all of the programming assignments on a phone or public computer.
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Course by
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Self Paced
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English
Transfer Learning for NLP with TensorFlow Hub
This is a hands-on project on transfer learning for natural language processing with TensorFlow and TF Hub.
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Course by
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Self Paced
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2 hours
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English
Data Science for Construction, Architecture and Engineering
This course introduces data science skills targeting applications in the design, construction, and operations of buildings. You will learn practical coding within this context with an emphasis on basic Python programming and the Pandas library.
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Course by
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5
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English
Database Operations in MariaDB Using Python From Infosys
Have you ever imagined performing various operations on a database without writing a single query? Did you know that Python can be used to accomplish these task effortlessly? By taking this Guided Project, you will be able to accomplish exactly this task! “Database Operations in MariaDB using Python” is for any system or database administrator who wants to automate their daily tasks of performing routine operations on a database. By the end of this 1-hour long Guided Project, you will have created scripts written in Python to perform various database operations in a MariaDB server.
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Course by
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Self Paced
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3 hours
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English
Graduate Admission Prediction with Pyspark ML
In this 1 hour long project-based course, you will learn to build a linear regression model using Pyspark ML to predict students' admission at the university. We will use the graduate admission 2 data set from Kaggle. Our goal is to use a Simple Linear Regression Machine Learning Algorithm from the Pyspark Machine learning library to predict the chances of getting admission. We will be carrying out the entire project on the Google Colab environment with the installation of Pyspark. You will need a free Gmail account to complete this project.
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Course by
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Self Paced
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2 hours
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English
Supervised Learning and Its Applications in Marketing
Welcome to the Supervised Learning and Its Applications in Marketing course! Supervised learning is the process of making an algorithm to learn to map an input to a particular output. Supervised learning algorithms can help make predictions for new unseen data. In this course, you will use the Python programming language, which is an effective tool for machine learning applications. You will be introduced to the supervised learning techniques: regression and classification. The course will focus on the applications of these techniques in the domain of marketing.
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Course by
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Self Paced
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22 hours
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English
Using APIs for Network Automation
This course will provide a solid foundation for understanding how APIs are utilized in network automation by discussing important topics such as data encoding formats, REST APIs, and the Python Requests library.
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Course by
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Self Paced
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4 hours
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English
Automation With Salt
Salt is an automation configuration management framework designed on the idea of executing commands remotely. This is open source software developed to automate the configuration of server systems. The course begins with the introduction to Automation with Salt followed by Salt Installation. A brief explanation about features of Salt using command-line tools and Matching Elements is provided in the course. The course also demonstrates the working of Jinja2 and Pillars in a detailed manner. This course provides 3 hours of training videos which are segmented into modules.
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Course by
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Self Paced
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5 hours
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English
Introduction to Machine Learning with Python
This course will give you an introduction to machine learning with the Python programming language. You will learn about supervised learning, unsupervised learning, deep learning, image processing, and generative adversarial networks. You will implement machine learning models using Python and will learn about the many applications of machine learning used in industry today. You will also learn about and use different machine learning algorithms to create your models. You do not need a programming or computer science background to learn the material in this course.
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Course by
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Self Paced
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13 hours
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English
Introduction to Network Automation
The Network infrastructure industry has undergone a significant transformation in recent years, with an increasing need for automation due to factors such as a demand for faster and more reliable network deployments.
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Course by
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Self Paced
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3 hours
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English
Introduction to Trading, Machine Learning & GCP
In this course, you’ll learn about the fundamentals of trading, including the concept of trend, returns, stop-loss, and volatility. You will learn how to identify the profit source and structure of basic quantitative trading strategies. This course will help you gauge how well the model generalizes its learning, explain the differences between regression and forecasting, and identify the steps needed to create development and implementation backtesters. By the end of the course, you will be able to use Google Cloud Platform to build basic machine learning models in Jupyter Notebooks.
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Course by
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Self Paced
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10 hours
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English
Create Your First Web App with Python and Flask
In this 2-hour long project-based course, you will learn the basics of web application development with Python using the Flask framework. Through hands on, practical experience, you will go through concepts like creating a Flask Application, using Templates in Flask Applications, using SQLAlchemy and SQLite with Flask, and using Flask and WTForms.
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Course by
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Self Paced
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2 hours
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English
Using Python for Research
Take your introductory knowledge of Python programming to the next level and learn how to use Python 3 for your research.
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Course by
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Self Paced
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30
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English
Problem Solving, Python Programming, and Video Games
This course is an introduction to computer science and programming in Python. Upon successful completion of this course, you will be able to: 1. Take a new computational problem and solve it, using several problem solving techniques including abstraction and problem decomposition. 2. Follow a design creation process that includes: descriptions, test plans, and algorithms. 3.
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Course by
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Self Paced
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80 hours
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English
Python Database Connection with MariaDB From Infosys
Did you know that connecting to servers is the number one job task of database administrators? Did you know that being able to effectively complete this skill is in-demand for this role?
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Course by
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Self Paced
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1 hour
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English
Using Machine Learning in Trading and Finance
This course provides the foundation for developing advanced trading strategies using machine learning techniques. In this course, you’ll review the key components that are common to every trading strategy, no matter how complex. You’ll be introduced to multiple trading strategies including quantitative trading, pairs trading, and momentum trading.
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Course by
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Self Paced
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19 hours
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English
Computer Vision with Embedded Machine Learning
Computer vision (CV) is a fascinating field of study that attempts to automate the process of assigning meaning to digital images or videos. In other words, we are helping computers see and understand the world around us!
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Course by
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Self Paced
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31 hours
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English
Get Started with Python
This is the second of seven courses in the Google Advanced Data Analytics Certificate. The Python programming language is a powerful tool for data analysis. In this course, you’ll learn the basic concepts of Python programming and how data professionals use Python on the job. You'll explore concepts such as object-oriented programming, variables, data types, functions, conditional statements, loops, and data structures.
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Course by
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Self Paced
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31 hours
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English
Compose and Program Music in Python using Earsketch
By the end of this course, you will create a basic composition using the Python programming language in Earsketch. You will learn basic Python functions in order to create a basic music composition. Learning basic Python functions will allow you to develop your skills in programming and diversify your knowledge of various programming languages. Python has become increasingly popular in computer science; knowledge of Python is highly desired in the computer science industry.
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Course by
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Self Paced
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3 hours
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English
Machine Learning with PySpark: Customer Churn Analysis
This 90-minute guided-project, "Pyspark for Data Science: Customer Churn Prediction," is a comprehensive guided-project that teaches you how to use PySpark to build a machine learning model for predicting customer churn in a Telecommunications company. This guided-project covers a range of essential tasks, including data loading, exploratory data analysis, data preprocessing, feature preparation, model training, evaluation, and deployment, all using Pyspark.
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Course by
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Self Paced
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3 hours
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English
Exception Handling in Python
In this 1-hour long project-based course, you will learn the differences between an exception and syntax errors, how to raise an exception, what an AssertionError exception is within Python, how to use the try, except and else clause and how to use the finally clause and any clean-up actions. By the end of this project, you will have an understanding of error and exception handling in python. Once you have a beginner's knowledge of python programming and start coding you may find that something disrupts the normal flow of the program you have built.
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Course by
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Self Paced
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3 hours
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English
Statistics for Data Science with Python
This Statistics for Data Science course is designed to introduce you to the basic principles of statistical methods and procedures used for data analysis. After completing this course you will have practical knowledge of crucial topics in statistics including - data gathering, summarizing data using descriptive statistics, displaying and visualizing data, examining relationships between variables, probability distributions, expected values, hypothesis testing, introduction to ANOVA (analysis of variance), regression and correlation analysis.
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Course by
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Self Paced
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14 hours
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English
Python 101: Develop Your First Python Program
In this hands-on guided project, we will learn Python programming fundamentals and build our first program in Python. We will learn understand variables assignment, differentiate between various data types in python such as strings, lists, integer and float, learn the difference between for and while loops, develop functions in python, perform math operations, get information from User and Print data on the screen, and develop a simple game in Python. Note: This course works best for learners who are based in the North America region.
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Course by
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Self Paced
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3 hours
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English