979 Data Science courses delivered Online

This beginner-friendly course takes us on a journey into data visualization. You will learn to transform raw data into stunning visuals using Matplotlib, Seaborn, and Plotly. From charts to dynamic heatmaps, we will master the essentials. Fuel your curiosity, enhance your skills, and communicate insights effectively to become a Python data visualization pro!

This course is for you if you are already familiar with Arduino and Raspberry Pi and want to learn more about using these boards and how to combine them to make more complicated and significant projects. In this course, we will go from an intermediate level to an advanced level on both the individual boards as well as when combined and discover how to build our own unique projects using them. Discover how to combine Arduino and Raspberry Pi to create complex projects in this intermediate to advanced level course. Build unique projects with hands-on experience and take your skills to the next level. This is perfect for those familiar with both boards.

Through this course, you will learn how to arrange Kafka a producer and consumer and Kafka Streams and Connectors accurately. You will also gain the skills needed to coordinate Kafka with existing application stages and to pass the Apache Kafka certification exam.

Would you like to master deep learning and artificial neural networks? Then this course is for you! Learn how to build, train, and deploy ANNs to solve problems.

Artificial Intelligence is here. What does it mean for Project Management and Project Managers? I delivered a special live briefing on 1 November 2022, to answer the questions I was asking: 🤖 What is Artificial Intelligence? 🦾 What is the role of AI in Project Management? ⚠️ What are the issues surrounding AI? 🧩 What do Project Managers need to do to prepare ourselves? ⚖️ And ended with my assessment of Artificial Intelligence in Project Management

This ultimate course to kickstart your Python journey from scratch. This comprehensive course covers all the essential concepts of Python, providing explanations, examples, and practical implementations. Designed with beginners in mind, our goal is to help you learn and master Python by building a variety of projects.

Are you eager to learn Django and build real web applications? Do you want to gain hands-on experience with Python, Django, and Git? Look no further! This beginner-friendly course has got you covered. Discover the secrets of Django applications, templates, models, and migrations as we guide you through the process step-by-step. Tired of struggling with deployment? We will show you how to deploy your applications on a Railway Server effortlessly.

Overview With the ever-increasing demand for Big Data Analytics in personal & professional settings, this online training aims at educating, nurturing, and upskilling individuals to stay ahead of the curve - whatever their level of expertise in Big Data Analytics may be. Learning about Big Data Analytics or keeping up to date on it can be confusing at times, and maybe even daunting! But that's not the case with this course from Compete High. We understand the different requirements coming with a wide variety of demographics looking to get skilled in Big Data Analytics . That's why we've developed this online training in a way that caters to learners with different goals in mind. The course materials are prepared with consultation from the experts of this field and all the information on Big Data Analytics is kept up to date on a regular basis so that learners don't get left behind on the current trends/updates. The self-paced online learning methodology by compete high in this Big Data Analytics course helps you learn whenever or however you wish, keeping in mind the busy schedule or possible inconveniences that come with physical classes. The easy-to-grasp, bite-sized lessons are proven to be most effective in memorising and learning the lessons by heart. On top of that, you have the opportunity to receive a certificate after successfully completing the course! Instead of searching for hours, enrol right away on this Big Data Analytics course from Compete High and accelerate your career in the right path with expert-outlined lessons and a guarantee of success in the long run. Who is this course for? While we refrain from discouraging anyone wanting to do this Big Data Analytics course or impose any sort of restrictions on doing this online training, people meeting any of the following criteria will benefit the most from it: Anyone looking for the basics of Big Data Analytics , Jobseekers in the relevant domains, Anyone with a ground knowledge/intermediate expertise in Big Data Analytics , Anyone looking for a certificate of completion on doing an online training on this topic, Students of Big Data Analytics , or anyone with an academic knowledge gap to bridge, Anyone with a general interest/curiosity Career Path This Big Data Analytics course smoothens the way up your career ladder with all the relevant information, skills, and online certificate of achievements. After successfully completing the course, you can expect to move one significant step closer to achieving your professional goals - whether it's securing that job you desire, getting the promotion you deserve, or setting up that business of your dreams.     Course Curriculum Module 1_ Introduction to Big Data. Introduction to Big Data. 00:00 Module 2_ Hadoop and MapReduce. Hadoop and MapReduce. 00:00 Module 3_ NoSQL Databases. NoSQL Databases. 00:00 Module 4_ Data Storage and Retrieval. Data Storage and Retrieval. 00:00 Module 5_ Data Processing with Spark. Data Processing with Spark. 00:00 Module 6_ Data Analysis with Hadoop and Pig. Data Analysis with Hadoop and Pig. 00:00

This course is your guide to deep learning in Python with Keras. You will discover the Keras Python library for deep learning and learn how to use it to develop and evaluate deep learning models.

In this course, we will start with extremely basic concepts such as learning the programming language fundamentals and other supporting libraries. Then we will proceed with the core topics with the help of real-world datasets to gain a complete understanding of deep learning using Python and Keras.