Business Analyst: Digital Director for AI and Data Science
2.0
Udemy2,600 learners
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This course provides an overview of the role of the Business Analyst in the implementation of AI-based business solutions. It covers the requirements of conversational user experience elicitation and analysis, and compares Natural Language Understanding (NLU) bots and rule-based bots. It also provides an overview of conversation flow analysis and design. Participants will gain an understanding of the importance of the Business Analyst in the development of AI-based solutions, and the skills to effectively analyze and design conversational user experiences.
High-Dimensional Data Analysis
1.5
Edx0 learners
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This course provides an introduction to the analysis of high-dimensional data. Topics covered include mathematical distance, dimension reduction, singular value decomposition and principal component analysis, multiple dimensional scaling plots, factor analysis, dealing with batch effects, clustering, heatmaps, and basic machine learning concepts. Students will learn how to use these techniques to explore and analyze high-dimensional data sets. The course will also cover the use of visualization techniques to interpret the results of the analysis.
How To Improve Your Online Presence
3.0
Grow with Google0 learners
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This course will teach you how to improve your online presence by understanding the basics of search engines, how they work, and how to make your web pages search friendly. You will learn about organic and paid search, Google search console, and how other websites can work for you. You will also gain an introduction to search engine optimisation (SEO) and learn the importance of an SEO plan, the SEO process, how to choose keywords, setting realistic SEO goals, and using digital to advertise locally and reach locals on their mobiles. Finally, you will learn how to use SEO for local businesses.
Introduction to Business Analytics - Crash Course for Beginner
2.0
Youtube0 learners
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This course is designed to provide a crash course in business analytics for beginners. It covers topics such as selecting, filtering, and sorting data; using business analytics formulas; unions and joins; aggregation; crosstabs and transposing; contingency tables; measures of distribution and variation; distribution visualization; normal distribution; kurtosis and asymmetrical distribution; sampling basics; bivariate data and correlation; information theory and entropy; analytical reports; automation and regression. By the end of the course, students will have a better understanding of the fundamentals of business analytics and be able to apply them to their own projects.
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