Advanced Business Analytics Specialization

Start Date: 05/24/2020

Course Type: Specialization Course

Course Link: https://www.coursera.org/specializations/data-analytics-business

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About Course

The Advanced Business Analytics Specialization brings together academic professionals and experienced practitioners to share real world data analytics skills you can use to grow your business, increase profits, and create maximum value for your shareholders. Learners gain practical skills in extracting and manipulating data using SQL code, executing statistical methods for descriptive, predictive, and prescriptive analysis, and effectively interpreting and presenting analytic results. The problems faced by decision makers in today’s competitive business environment are complex. Achieve a clear competitive advantage by using data to explain the performance of a business, evaluate different courses of action, and employ a structured approach to business problem-solving. Check out a one-minute video about this specialization to learn more!

Course Syllabus

Introduction to Data Analytics for Business
Predictive Modeling and Analytics
Business Analytics for Decision Making
Communicating Business Analytics Results

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Course Introduction

Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems. Advanced Business Analytics Specialization This is a six-week course, focusing on the real-world application of advanced business analytics in a real business context. We will begin by introducing the primary data sets that are used in many business applications, such as stock data, credit card data, and transaction data. In week 1, we will introduce an advanced data structure for storing large-scale data, and we will use it to analyze a very large dataset, including more than 11TB of data, using both traditional and web crawlers. In week 2, we will review the different types of analytics reports, including traditional visualizations, and we will introduce the different types of analytics reports, including traditional visualizations, that are used in different applications. In week 3, we will introduce new types of analytics reports, including both traditional and web crawlers, that can use both traditional and web crawlers to index and supplement transaction data. In week 4, we will introduce a new type of analytics report, which uses both traditional and web crawlers to index and supplement transaction data. In week 5, we will introduce analytics tools that can be used in conjunction with traditional and web crawlers to index and supplement transaction data. In week 6, we will introduce analytics tools that can be used in conjunction with traditional and web crawlers to index and supplement transaction data.Week 1: Introduction to Analytics Week 2: Scaling Up Analytics Week 3: Intro to Web Crawlers and Traditional Visuals

Course Tag

Data Analysis Data Visualization (DataViz) Mathematical Optimization SQL

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