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-- viewing now<p>Welcome to the certificate course in <strong>Data Science with Python</strong>. This course is crucial in today's data-driven world, with industries increasingly relying on data for strategic decision-making.
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Course Details
• Introduction to Data Analysis: Understanding data, data types, and data sources. • Data Cleaning: Techniques for handling missing data, outliers, and inconsistent data. • Data Visualization: Designing effective data visualizations to communicate insights. • Statistical Analysis: Performing statistical tests to identify significant relationships and trends. • Machine Learning: Overview of machine learning algorithms, including supervised and unsupervised learning. • Data Modeling: Building predictive models to solve real-world problems. • Evaluation Metrics: Measuring the performance of data models and visualizations. • Data Ethics: Considering ethical implications of data analysis and machine learning.
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Entry Requirements
- Basic understanding of the subject matter
- Proficiency in English language
- Computer and internet access
- Basic computer skills
- Dedication to complete the course
No prior formal qualifications required. Course designed for accessibility.
Course Status
This course provides practical knowledge and skills for professional development. It is:
- Not accredited by a recognized body
- Not regulated by an authorized institution
- Complementary to formal qualifications
You'll receive a certificate of completion upon successfully finishing the course.
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