Data Science
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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.
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Introduction to SQL
Join this course to acquire the essential skills in SQL, empowering marketers, product managers, analytics and developers to efficiently collect and analyze data.
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Coding Machine Learning Algorithms
ML libraries make model building easier, but a deep understanding is crucial for reliable results. In this course, you'll 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'll code them yourself.
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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.
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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.
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Pandas for Data Analysis
Become a data analysis expert with Pandas! Learn how to use Pandas for data manipulation, analysis, and insight extraction.
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SQL for Data Analysis
This beginner-friendly course equips you with the skills to work with data, covering SQL fundamentals and advanced techniques. You'll become proficient in writing complex queries for effective data analysis without needing extensive programming knowledge.
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Data Analyst
Gain data analysis skills, essential for solving complex problems in a Data Analyst role, focusing on data handling and decision-making. Learn how to handle, visualize, and interpret data effectively.
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Data Scientist
Start your data science career with hands-on projects, mastering advanced concepts in programming, math, and statistics. Perfect for committed, motivated learners.
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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.
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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.
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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.
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Deep Learning
Learn about neural networks and find out how to implement some of those yourself for your future job as a data scientist.
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Data Engineering and ETL
Learn how to collect, store, transform, and manage data using Python and SQL, working with both relational and NoSQL databases. Through hands-on practice with PostgreSQL, MongoDB, and Apache Airflow, you'll build reliable data pipelines and understand how data flows through real-world systems, preparing you for entry-level data engineering roles.
Hyperskill
Machine Learning with Python
This hands-on course introduces the fundamentals of machine learning using Python and industry-standard libraries. Learn how to build, train, evaluate, and optimize machine learning models following a complete ML pipeline—from data preprocessing and feature engineering to model selection and tuning.