998 Data Science courses

Python 3 is one of the most popular programming languages. Companies like Facebook, Microsoft, and Apple all want Python

Thinking about learning more understanding the role of data within an organisation? As data becomes an important currency in the world and an enabler for the future, it is imperative that all organisations have a firm understanding of the data available to them and the power it can hold. The BCS Foundation Award in Understanding Data in your Organisation teaches the the terminology, principles, concepts and approaches used within data management, and the overall value of data to an organisation.

Embark on a transformative Python web development journey with this course and dive deep into creating a dynamic book rental system from scratch. Master Django's import-export capabilities, design elegant UI with Tailwind CSS, implement advanced features, and more. Elevate your skills and build real-world applications effortlessly!

Learn how to code with Python. Work on a small real-life project from conception to tested app, in a team or on your own.

Artificial intelligence & Javascript 2D Game Development - MinMax algorithm - "Computer vs You" Tic Tac Toe AI game

Course Overview The comprehensive Statistical Concepts in R Level 3 has been designed by industry experts to provide learners with everything they need to enhance their skills and knowledge in their chosen area of study. Enrol on the Statistical Concepts in R Level 3 today, and learn from the very best the industry has to offer! This best selling Statistical Concepts in R Level 3 has been developed by industry professionals and has already been completed by hundreds of satisfied students. This in-depth Statistical Concepts in R Level 3 is suitable for anyone who wants to build their professional skill set and improve their expert knowledge. The Statistical Concepts in R Level 3 is CPD-accredited, so you can be confident you're completing a quality training course will boost your CV and enhance your career potential. The Statistical Concepts in R Level 3 is made up of several information-packed modules which break down each topic into bite-sized chunks to ensure you understand and retain everything you learn. After successfully completing the Statistical Concepts in R Level 3, you will be awarded a certificate of completion as proof of your new skills. If you are looking to pursue a new career and want to build your professional skills to excel in your chosen field, the certificate of completion from the Statistical Concepts in R Level 3 will help you stand out from the crowd. You can also validate your certification on our website. We know that you are busy and that time is precious, so we have designed the Statistical Concepts in R Level 3 to be completed at your own pace, whether that's part-time or full-time. Get full course access upon registration and access the course materials from anywhere in the world, at any time, from any internet-enabled device.  Our experienced tutors are here to support you through the entire learning process and answer any queries you may have via email.

Get started with Neural networks and understand the underlying concepts of Neural Networks, Convolutional Neural Networks, and Recurrent Neural Networks. This hands-on course will help you understand deep learning in detail with no prior coding or programming experience required.

This complete hands-on, step-by-step course targets the latest version of Raspberry Pi, which is the Raspberry Pi 4. Everything also works perfectly for Raspberry Pi 2 and 3 versions. You don't need any knowledge in programming, electronics, or anything else. All you need is a working computer and a Raspberry Pi board to get started.

Overview This comprehensive course on Spatial Data Visualization and Machine Learning in Python Level 4 will deepen your understanding on this topic. After successful completion of this course you can acquire the required skills in this sector. This Spatial Data Visualization and Machine Learning in Python Level 4 comes with accredited certification from CPD, which will enhance your CV and make you worthy in the job market. So enrol in this course today to fast track your career ladder. How will I get my certificate? After successfully completing the course you will be able to order your certificate, these are included in the price. Who is This course for? There is no experience or previous qualifications required for enrolment on this Spatial Data Visualization and Machine Learning in Python Level 4. It is available to all students, of all academic backgrounds. Requirements Our Spatial Data Visualization and Machine Learning in Python Level 4 is fully compatible with PC's, Mac's, Laptop, Tablet and Smartphone devices. This course has been designed to be fully compatible with tablets and smartphones so you can access your course on Wi-Fi, 3G or 4G. There is no time limit for completing this course, it can be studied in your own time at your own pace. Career Path Having these various qualifications will increase the value in your CV and open you up to multiple sectors such as Business & Management, Admin, Accountancy & Finance, Secretarial & PA, Teaching & Mentoring etc. Course Curriculum 8 sections • 21 lectures • 04:40:00 total length •Introduction: 00:14:00 •Python Installation: 00:03:00 •Installing Bokeh: 00:04:00 •Data Preparation: 00:24:00 •Creating a Bar Chart: 00:18:00 •Creating a Line Chart: 00:12:00 •Creating a Doughnut Chart: 00:22:00 •Creating a Magnitude Plot: 00:31:00 •Creating a Geo Map Plot: 00:20:00 •Creating a Grid Plot: 00:12:00 •Data Pre-processing: 00:21:00 •Building a Predictive Model: 00:21:00 •Building a Prediction Dataset: 00:07:00 •Adding predicted data to our plots - Part 1: 00:13:00 •Adding predicted data to our plots - Part 2: 00:14:00 •Adding predicted data to our plots - Part 3: 00:15:00 •Adding the Grid Plot: 00:08:00 •Installing Visual Studio Code: 00:01:00 •Creating the Project and Virtual Environment: 00:08:00 •Building and Running the Server: 00:12:00 •Resources: 00:00:00

This course will show you how to build Python-based web applications using Flask. You will cover the basics of the Flask framework and learn how to add functionality to your Flask applications using the popular extensions.