Data Science & Python - Maths, models, Stats PLUS Case Study

Partner: Udemy
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Description: This course requires you to download Anaconda or Docker Desktop. If you are a Udemy Business user, please check with your employer before downloading software.Get instant access to a 135-page workbook on Data Science, follow along, and keep for referenceIntroduce yourself to our community of students in this course and tell us your goals with data scienceEncouragement and celebration of your progress every step of the way: 25% > 50% > 75% & 100%Over 14 hours of clear and concise step-by-step instructions, lessons, and engagementThis 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:Introduce data and information conceptIdentify the difference between business intelligence and data scienceUnderstand and learn the process of data scienceDefine demand and challenges for people working in data scienceIdentify the difference between dispersion and descriptive vs inferential statistics discussionLearn after installing anaconda steps to be followedLearn spread of data discussion and interquartile rangeDefine advantages of getting conditional probability based on exampleIdentify the advantage of calculating z scoresLearn calculating p-value and learning factors on p-valueKnow the Prerequisites and Questions for a Data ScientistTypes of Data AcquisitionKnow Career Aspects for Data ScienceDiscuss Mathematical and Statistical Concepts and Example
Category: Development > Data Science > Data Science
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Price: 199.99
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Source: Impact
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