998 Data Science courses

If you are a newbie in the field of ethical hacking or want to become an ethical hacker, this course is just what will get you started. This is a comprehensive course with real-world examples to help you understand the fundamentals of hacking and cyber security.

Course summary This Python Programming course has become essential to all professional who would like to do code using Python. Learn evenings, work while studying. Work and study Python Part Time. It is a Python beginners course and teaches Python coding from scratch to intermediate. Hands-on, practical. We code some real life examples in this course.

Start your journey with the amazing Arduino development platform

Unlock the power of Ansible in DevOps with this in-depth video course. From beginner to expert, this course covers everything you need to know about Ansible, accompanied by hands-on exercises that you can practice right in your browser. No prior experience needed.

Pre-process and Analyze Satellite Remote Sensing Data with Free Software

This comprehensive course will help you learn how to use the power of Python to evaluate your deep learning-based recommender system data sets based on user ratings and choices with a practical approach to building a deep learning-based recommender system by adopting a retrieval-based approach based on a two-tower model.

Our Aim Is Your Satisfaction! Offer Ends Soon; Hurry Up!! Are you looking to improve your current abilities or make a career move? Our unique Statistical Concepts in R course might help you get there! Expand your expertise with high-quality training - study the Statistical Concepts in R course and get an expertly designed, great-value training experience. Learn from industry professionals and quickly equip yourself with the specific knowledge and skills you need to excel in your chosen career through the Statistical Concepts in R online training course. The Statistical Concepts in R course is broken down into several in-depth modules to provide you with the most convenient and rich learning experience possible. Upon successful completion of the Statistical Concepts in R course, an instant e-certificate will be exhibited in your profile that you can order as proof of your skills and knowledge. Add these amazing new skills to your resume and boost your employability by simply enrolling in this course. This Statistical Concepts in R training can help you to accomplish your ambitions and prepare you for a meaningful career. So, join us today and gear up for excellence! Why Prefer Us? Opportunity to earn a certificate accredited by CPDQS. Get a free student ID card! (£10 postal charge will be applicable for international delivery) Innovative and Engaging Content. Free Assessments 24/7 Tutor Support. Take a step toward a brighter future! *** Course Curriculum *** Module 01: Introduction to the Course Introduction Module 02: Simple Linear Regression Install R, RStudio and Basic Functionality Basics of Linear Regression Basics of Linear Regression continued Module 03: Linear Regression Analysis Linear Relationships Line of Best Fit, SSE and MSE Linear Regression Analysis Continued Regression Results and Interpretation Predicting Future Profits Statistical Validity Tests Statistical Validity Discussion Module 04: Multiple Linear Regression Multiple Linear Regression Importing the data Correlation Matrix and MLR MLR Results and ANOVA The Best Model? Interaction Terms and Validity Testing ANOVA and Predictions Module 05: Non-linear Regression Non-linear Regression (and Recap) Logistic Regression Overview Logistic Regression: Odds, Logs and Poisson Logistic Regression: Fitting the Models in R Assessment Process Your skills and knowledge will be tested with an automated multiple-choice assessment. You will then receive instant results to let you know if you have successfully passed the Statistical Concepts in R course. CPD 10 CPD hours / points Accredited by CPD Quality Standards Who is this course for? Anyone interested in learning more about the topic is advised to take this Statistical Concepts in R course. This course is open to everybody. Requirements You will not need any prior background or expertise to enrol in this course. Career path After completing this course, you are to start your career or begin the next phase of your career.

Python programming and Ruby coding are popular for a reason! Become a software coder, web developer, or hacker today

Explore the Apache Kafka ecosystem and architecture, and learn client API programming in Java

Customised courses ranging from 1 hour online to a full day in person at your premises with hands-on experience and demonstrations. Please contact Martin Judd for details of our training options, delivery methods and pricing.