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Coursera | Advanced Business Analytics Specialization [FCO]

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Name:Coursera | Advanced Business Analytics Specialization [FCO]
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Coursera - Advanced Business Analytics Specialization [FCO]


About

Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.

In-Detail

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.

Applied Learning Project

Throughout the specialization, you will apply the skills you learn to business problems and data sets. You will have opportunities to build conceptual models of business and simple database models, practice data extraction using SQL, apply predictive and prescriptive analytics to business problems, develop models for decision making, interpret the software output, and finally present results and share findings. We will use basic Excel and the software tool Analytic Solver Platform (ASP), which is a plug-in for Excel. Learners participating in assignments will be able to get free access to the software.

There are 5 Courses in this Specialization

1. Introduction to Data Analytics for Business
2. Predictive Modeling and Analytics
3. Business Analytics for Decision Making
4. Communicating Business Analytics Results
5. Advanced Business Analytics Capstone

Skills you will gain

- Data Analysis
- Data Visualization (DataViz)
- Mathematical Optimization
- SQL
- Data Model
- Data Quality
- Regression Analysis
- Data Cleansing
- Predictive Modelling
- Exploratory Data Analysis
- Simulation
- Business Analytics

Instructor(s)

David, is an Instructor and guest lecturer at the University of Colorado, Boulder, and specifically co-teaches the Master of Business Analytics program Boot Camp. He is passionate about the role data & analytics play in creating “clarity out of chaos” and how analytic capabilities can evolve into a strategic competitive advantages for companies and organizations...

Manuel, Laguna is the Director of Global Initiatives and the MediaOne Professor of Management Science at the Leeds School of Business of the University of Colorado Boulder. He started his academic career at the University of Colorado in 1990, after receiving master’s (1987) and doctoral (1990) degrees in Operations Research and Industrial Engineering from the University of Texas at Austin...

Dan Zhang, is Associate Professor of Operations Management at Leeds School of Business, University of Colorado Boulder. Dr. Zhang teaches in the area of operations management and data analytics in undergraduate, MBA, and PhD programs. Courses he taught include Business Statistics, Operations Management, Advanced Data Analytics, Spreadsheet Modeling, Stochastic Dynamic Programming, and Pricing and Revenue Management...

Offered by University of Colorado Boulder

General Info:

Author(s): David Torgerson, Manuel Laguna, Dan Zhang
Language: English
Updated: 2022
Videos Duration: 13h 25m 53s
Total Files: 1,576 Files, 5 Folders
Course Source: https://www.coursera.org/specializations/data-analytics-business

NOTE: Each course folder zipped due to the files count and large filenames to avoid torrent creation errors, contains all material.

YouTube Video:
Category:Tutorials
Language:English  English
Total Size:2.88 GB
Info Hash:548690492B6E4FF968020DD2C5CC386FB5F810B1
Added By:Prom3th3uS Super AdministratorMovie PirateVIP
Date Added:2022-11-23 05:13:12
Torrent Status:Torrent Verified


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