Description
90 Days | SCORM | info@imacia.org
Course Description:
This Data Analytics Pathway provides both foundational & applied knowledge in business data analytics for problem solving, continuous improvement, and decision making. It builds skills and satisfies the necessity for professionals to have the ability to use various tools to create, analyze, manage, and report data. Learners will be able to integrate concepts into application and practice.
After finishing this course you will be able to:
- Understand how to formulate and state a business problem
- Understand how to simply set a business analytics project to achieve results
- Learn the application and general difference of Descriptive analytics, Predictive analytics, and Prescriptive analytics
- Learn how to use some of Excel capabilities, how to Compare and contrast data, and use spreadsheet formats for analytics.
- Apply and compute descriptive analytics measurements of data sets to demonstrate knowledge and compare metrics between organizations or business.
- Produce Visual Analytics & interpret the meaning of measurement analysis outcomes and use Data Visualization
- Integrate the use of normal distributions with testing probabilities, hypothesis, or quality control approaches.
- Analyze data using Predictive Analytics tool for possible correlation values and associations of business variable.
- Learn how to build simple and multiple linear predictive models to represent relationships and predict variable behavior.
- Learn how to build simple and advanced forecasting models to represent relationships with time and forecast future variable behavior.
- Integrate risk aversion using simulation and optimization tools, and learn how to manage business objective functions
- Analyze and use linear programming optimization in Prescriptive Analytics to enhance business decision-making process and problem solving.
Course Outline:
•Introducing Business & Data Analytics
•Defining Business Problem
•Formulating & Prioritizing Problem Based Project
•Applying Business Analytics
•Descriptive Analytics
o Visualizing, Graphing & Exploring Data
o Descriptive Statistical Measures
o Probability Distributions and Data Modeling
o Sampling & Estimation
o Statistical Inference
•Predictive Analytics
o Trendline & Linear Regression Analysis
o Forecasting & Time Series Modeling
•Prescriptive Analytics
o Monte Carlo Simulation & Risk Analysis
o Linear Optimization
The learning is fluid, and time duration set to finish the Pathway is 90 days. Learners can finish sooner and obtain certificate if they like to speed up their learning pace. The certificate course cost may not refundable once course started.
Made especially affordable for IMACIA Social & Economic Mobility initiative./b>

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