Query your ML data. Master SQL for feature engineering, data pipelines, and the database skills essential for production machine learning.
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Basic statistics helpful; will be taught
Some coding experience; Python or R preferred
Follow these courses in order to complete the learning path. Click on any course to enroll.
While not exclusively an EDA course, it teaches the SQL skills essential for extracting and manipulating data from databases, a crucial first step in any exploratory analysis.
A course that covers the fundamentals of vector databases, from embeddings to practical applications. It is part of the DeepLearning.AI offerings on Coursera.
A specialization that provides the foundational SQL skills needed to query and extract data for exploratory data analysis.
For those with a basic understanding of SQL, this course delves into more advanced querying techniques that can be used for in-depth data exploration.
Get instant access to a workbook on Data Science, follow along, and keep for reference Introduce yourself to our community of students in this course and tell us your goals with data science Encouragement and celebration of your progress every step of the way: 25% > 50% > 75% & 100%30 hours of clear and concise step-by-step instructions, lessons, and engagement This data science course provides participants with the knowledge, skills, and experience associated with Data Science. Students will explore a range of data science tools, algorithms, Machine Learning, and statistical techniques, with the aim of discovering hidden insights and patterns from raw data in order to inform scientific business decision-making.What you will learn:Data Science and Its Types Top 10 Jobs in Data Science Tools of Data Science Variables and Data in Python Introduction to Python Probability and Statistics Functions in Python Operator in Python Data Frame with Excel Dictionaries in Python Tuples and loops Conditional Statement in Python Sequences in Python Iterations in Python Multiple Regression in Python Linear Regression Libraries in Python Numpy and SK Learn Pandas in PythonK-Means Clustering Clustering of Data Data Visualization with Matplotlib Data Preprocessing in Python Mathematics in Python Data Visualization with Plotly What is Deep Learning?Deep Learning Neural Network TensorFlow PostgreSQL Machine Learning and Data Science<
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Query your ML data. Master SQL for feature engineering, data pipelines, and the database skills essential for production machine learning.
You'll work through Understand core concepts and foundations; Build your first projects with guided tutorials; Gain confidence with hands-on exercises; Perform exploratory data analysis (EDA) on complex datasets; Clean and preprocess data for analysis; Create compelling data visualizations.
It's pitched at beginner level — a solid starting point if you're new to the topic.
5 curated courses, sequenced from foundational to advanced.
Around $148 total if you buy every course — but many include free audit options.
Enroll in this path to track your progress and stay motivated.