What you’ll learn
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Python Proficiency: Master the use of Python for implementing machine learning algorithms, establishing a solid programming foundation.
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Analytics Insight: Develop the ability to leverage analytics in machine learning, gaining valuable insights for informed decision-making.
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Big Data Integration: Understand the challenges and opportunities in integrating Big Data with machine learning processes.
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Statistical Fundamentals: Learn the basics of statistical sampling, data types, visualization, and probability theory crucial for data science.
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Random Variables and Distributions: Grasp the concepts of random variables and various probability distributions essential in machine learning applications.
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Matrix Algebra Skills: Acquire proficiency in matrix algebra and understand its significance in manipulating data for machine learning.
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Hypothesis Testing Mastery: Develop skills in hypothesis testing, encompassing error types, critical value approaches, and P-value analysis.
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Regression Analysis: Gain insights into covariance and regression analysis, fundamental techniques for predictive modeling in data science.
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Practical Application: Apply learned concepts through quizzes, practical examples, and real-world scenarios for hands-on experience.
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Emerging Trends Awareness: Stay updated on emerging trends and innovations in machine learning, ensuring relevance in a rapidly evolving field.
Can I download Foundations of Data Science: Machine Learning and Statistics course?
You can download videos for offline viewing in the Android/iOS app. When course instructors enable the downloading feature for lectures of the course, then it can be downloaded for offline viewing on a desktop.Can I get a certificate after completing the course?
Yes, upon successful completion of the course, learners will get the course e-Certification from the course provider. The Foundations of Data Science: Machine Learning and Statistics course certification is a proof that you completed and passed the course. You can download it, attach it to your resume, share it through social media.Are there any other coupons available for this course?
You can check out for more Udemy coupons @ www.coursecouponclub.com
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Disclosure: This post may contain affiliate links and we may get small commission if you make a purchase. Read more about Affiliate disclosure here.
