Data Science
Hyperskill
Introduction to Data Science
Acquire essential skills in statistics and machine learning. Focus on data preprocessing, analysis, visualization, hypothesis testing, and machine learning model building.
Hyperskill
Coding Machine Learning Algorithms
ML libraries make model building simple, but deep understanding is crucial for reliable results. Implement the main ML algorithms in Python to better understand how they work. This course is not about using pre-coded ml algorithms. Instead, you will code those on your own.
Hyperskill
Databases with SQL and Python
Explore the world of SQL and its role in retrieving, storing, and processing data, empowering you to make informed decisions and drive impactful insights.
Hyperskill
Introduction to Natural Language Processing
Take your Python skills to the next level! Learn how to process, filter, and analyze texts, extract key terms, generate your own content, and perform simple text summarization.
Hyperskill
Pandas for Data Analysis
Become a data analysis expert with Pandas! Learn how to use Pandas for data manipulation, analysis, and insight extraction.
Hyperskill
Chatbots with Python
Gain hands-on experience in building AI-driven chatbots and dialogue systems, working with advanced models, and enhancing data representations for effective language understanding.
Hyperskill
NLP Engineer
Continue your exploration of NLP with a deeper dive into modern natural language processing techniques. This course goes beyond basic tasks like tokenization and POS-tagging, challenging you to delve into implementations of sentiment analysis, spell checking, and machine translation, among others.
Hyperskill
Data Scientist
Start your data science career with hands-on projects, mastering advanced concepts in programming, math, and statistics. Perfect for committed, motivated learners.
Hyperskill
MLOps Engineer
Bring the DevOps principles of continuous integration, continuous delivery, and continuous monitoring to the machine learning lifecycle by integrating MLOps in your pipeline. Learn essential concepts for effectively deploying and managing machine learning models in production environment.
Hyperskill
Deep Learning
Learn about neural networks and find out how to implement some of those yourself for your future job as a data scientist.