Beginner’s Guide to Smart Data Science
in Data Science FundamentalsWhat you will learn?
Write Basic Python code for data analysis using essential libraries like NumPy and Pandas.
Apply fundamental statistical concepts and mathematical tools relevant to data science.
Perform data collection, cleaning, preprocessing, and exploratory data analysis on datasets.
Create meaningful visualizations to interpret and communicate insights from data.
Describe different types of machine learning and implement basic algorithms such as regression and clustering.
Build and evaluate simple machine learning models using Python’s Scikit-learn library.
Recognize ethical considerations and challenges related to bias, fairness, and data privacy in data science.
About this course
This beginner-friendly course introduces you to the core ideas, tools, and workflows that shape machine learning and data science today. You’ll learn how to prepare data, explore patterns, build simple predictive models, and interpret results with confidence. Concepts are explained in clear, practical language, making it easy for learners with little or no prior experience.
Recommended For
- Students
- Working Professionals
- Beginners
- Entrepreneurs
- Fresh Graduates
- Job Seekers (ML/AI/Data roles)
- Programmers
- Non-Technical Learners
Tags
Data Science and Machine Learning for Beginners Course
Data Science for Beginners Course
Machine Learning for Beginners Course
Data Science and ML Fundamentals Course
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Beginner Machine Learning Course
Introduction to Data Science and Machine Learning Course
Data Science and Machine Learning Bootcamp Course
Applied Data Science and Machine Learning Course
Data Science and Machine Learning with Python Course
Practical Data Science and Machine Learning Course
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Data Science and Machine Learning Certification Course
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Entry-Level Data Science and Machine Learning Course
Foundations of Data Science and Machine Learning Course
Data Science and Machine Learning for Absolute Beginners Course
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Data Science and Machine Learning Starter Course
