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<
Your first steps into machine learning. Understand supervised and unsupervised learning, train your first models, and build intuition for how algorithms learn from data.
Start your journey into deep learning with foundational concepts and hands-on exercises designed for newcomers.
Query your ML data. Master SQL for feature engineering, data pipelines, and the database skills essential for production machine learning.
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