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.
Advanced Business Analytics Specialization
Advanced Business Analytics Specialization
Gain Real-World Business Analytics Skills. Leverage data to solve complex business problems.
Instructors: Manuel Laguna
Included with 
Get in-depth knowledge of a subject
(2,087 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
Get in-depth knowledge of a subject
(2,087 reviews)
Intermediate level
Some related experience required
1 month at 10 hours a week
Flexible schedule
Earn a career credential
Share your expertise with employers
What you'll learn
Skills you'll gain
- Business Intelligence
- Analytics
- Data Storage Technologies
- Data Storage
- Data Governance
- Databases
- Data Visualization
- Data Analysis
- Data Presentation
- Predictive Analytics
- Data Storytelling
- SQL
- Data Visualization Software
- Decision Making
- Big Data
- Business Analytics
- Predictive Modeling
- Exploratory Data Analysis
- Data Cleansing
- Risk Analysis
What’s included
Shareable certificate
Add to your LinkedIn profile
Taught in English
26 practice exercises
Specialization - 5 course series
What you'll learn
Describe the information lifecycle from events in the real world to business actions
Recognize the types of events and characteristics that are often used in business analytics
Explain how the data is captured by source systems and stored using both traditional and emergent technologies
Gain familiarity with relational databases and learn how to use a simple but powerful language called SQL to extract analytical data sets of interest
Skills you'll gain
Relational Databases, Organizational Structure, Analytics, Data Governance, Data Storage, SQL, Data Analysis, Business Analytics, Cloud Computing, Databases, Data Quality, Data Storage Technologies, Big Data, and Business Intelligence
What you'll learn
Apply exploratory data analysis to gain insights and prepare data for predictive modeling
Summarize and visualize datasets using appropriate tools
Identify modeling techniques for prediction of continuous and discrete outcomes
Identify appropriate graphs to explore and display datasets
Skills you'll gain
Predictive Modeling, Regression Analysis, Data Cleansing, Artificial Neural Networks, Decision Tree Learning, Statistical Modeling, Data Analysis, Machine Learning Methods, Predictive Analytics, Microsoft Excel, Data Visualization, Data-Driven Decision-Making, Business Analytics, and Exploratory Data Analysis
What you'll learn
Describe the significance of optimization in identifying optimal solutions for complex business problems
Implement optimization techniques to identify the best possible course of action among multiple alternatives
Judge the appropriateness of optimization techniques in finding optimal solutions for practical business challenges
Skills you'll gain
Business Analytics, Simulation and Simulation Software, Risk Analysis, Process Optimization, Microsoft Excel, Decision Making, Business Modeling, Unsupervised Learning, Market Analysis, Data Analysis, and Predictive Analytics
What you'll learn
Identify the challenges of presenting analytics findings to decision makers
Evaluate the strengths and weaknesses of different communication methods for conveying analytics results to non-technical audiences
Skills you'll gain
Business Analytics, Data Presentation, Data Analysis, Presentations, Case Studies, Data Storytelling, Communication, Technical Communication, Statistical Reporting, Analysis, Data Visualization Software, and Data-Driven Decision-Making
What you'll learn
Create a well-structured and compelling presentation that showcases the most relevant and impactful insights from the analytics project
Design and customize predictive analytics models for loan classification and loss prediction
Devise investment fund allocation recommendations based on clustering and simulation-based optimization techniques
Skills you'll gain
Predictive Modeling, Statistical Modeling, Investment Management, Feature Engineering, Data Cleansing, Business Analytics, Advanced Analytics, Financial Analysis, Data Presentation, Data Analysis, Data Manipulation, Data Processing, Predictive Analytics, Technical Communication, Regression Analysis, Data Storytelling, Data Quality, Portfolio Management, Data Transformation, and Analytics
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Frequently asked questions
Time to completion can vary based on your schedule, but most learners are able to complete the Specialization in four to five months.
Ideally, your background would include some basics of data manipulation, statistics, and models for decision making. Learners must have working knowledge of Excel and some basic understanding of high-level programming instructions. This is not a computer science specialization but students will be learning some basic commands in SQL.
Although the four courses in the specialization can be taken separately, they are deeply integrated around their lessons. We recommend taking them in the order that they are offered.
More questions
Financial aid available,
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