About Course
This Data Science & Analytics course is designed to equip you with the skills and knowledge required to analyze complex data and derive actionable insights. You’ll learn how to collect and clean data, perform exploratory data analysis, build machine learning models, and visualize your findings. This hands-on course covers popular tools such as Python, R, SQL, and data visualization platforms like Tableau. Whether you’re new to the field or looking to upgrade your skills, this course provides a comprehensive foundation in data science and analytics. By the end of the course, you’ll be able to apply data-driven decision-making in real-world scenarios and be well-prepared for roles in data science and analytics.
Course Content
Introduction to Data Science and Analytics
10 Lectures . 16h:03min
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Introduction to Data Science and Analytics
10:54 -
Data Collection and Cleaning
05:09 -
Python for Data Science
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R for Statistical Analysis
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SQL for Data Manipulation
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Machine Learning Fundamentals
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Data Visualization Techniques
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Predictive Analytics and Model Evaluation
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Big Data and Cloud Analytics
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Final Project: End-to-End Data Science Workflow
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