Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.
Become a Data Scientist
Acquire advanced data skills, master Machine Learning & AI, and launch your career as a Data Scientist, Analyst, AI Engineer, Data Manager, and more.
Learn essential data analysis methods and tools
Master Machine Learning and Deep Learning
Create AI solutions and advanced predictive models
Build a solid portfolio and learn to work in a data team
Learn Python For Data Science
Extract data from relational databases, manipulate the big data matrix, and build visualizations. Understand key math concepts for data analysis, like statistics and linear algebra.
Put Yourself In The Shoes Of a Data Consultant
Learn how to survive the data preparation phase of a vast dataset. Extract insights by interpreting statistical results based on multivariate regression models, hypothesis testing, and confidence intervals.
Implement the Machine Learning workflow
Implement the machine learning workflow with Scikit-Learn (data preparation, feature engineering, model selection, evaluation, and fine-tuning) and understand math intuitions and numerical implementations of ML models.
Dive into Deep Learning
Become proficient in neural network architectures and parameters, constructing networks for image, sequence, and text analysis. Dive into AI by coding a transformer from scratch and developing GenAI applications. Gain practical skills with pre-trained "big models" from cutting-edge open-source research.
Our training courses are product-oriented and focus on practice. You will learn how to build web applications or data projects while adopting the technical workflow followed by successful tech companies. At the end of the course, you will have a portfolio of projects and ready-to-use skills.
This two-day course provides students with the knowledge and skills to analyze data with Power BI.
Discovering Artificial Intelligence (AI) within Computer Generated Imaging (CGI). Understanding the theoretical aspects and the ongoing research. Integrating AI into daily creative work, visual creations, architecture, design and art. Exploring the AI ??universe.
This two-day course provides students with the knowledge and skills to analyze data with Power BI. Prerequisites: Basic knowledge of the Microsoft Windows operating system and its core functionality; Familiarity with Microsoft Office applications – particularly Excel.
Artificial Intelligence has continued to become more and more sophisticated from social media to search engines to auto correct, we have made a lot of progress in behaviour prediction.
This course is designed for experienced programmers and those with a solid working knowledge of computing technology looking to gain the skills needed to successfully use these key libraries to extract useful insights from data, and as a result, provide great value to the business.
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