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Predictive analytics can be a huge discriminator for business decision-making. Its application in marketing and sales, finance, HR, risk management and security, and business strategy might help in driving revenues, reducing costs, and providing competitive advantage to businesses.
Vskills Predictive analytics certificate course will help you to learn predictive analytics, key tools, and their application at the intermediate to advanced level to a wide variety of business and technical users at all levels in the organization.
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* You will receive an online access to e-learning (videos), hard copy material is not applicable to this course.
This Course is intended for professional and graduates wanting to excel in their chosen areas. It is also well suited for those who want to learn key predictive analytics and modeling concepts, common tools and algorithms, and most importantly business applications of predictive analytics.
The online training course itself is software independent and will be using one or several of these software tools in examples: Excel, Minitab, R, and RapidMiner.
Job seekers looking to find employment in IT or software development departments of various companies, students generally wanting to improve their skill set in predictive analytics and make their CV stronger and existing employees looking for a better role can prove their employers the value of their skills through this certification.
Predictive analytics professionals are in great demand. Companies like Accenture, Flipkart, TCS & Cognizant having a continuous demand for the professionals. Various public sector companies also need Analytics professionals for their different departments.
We accept Visa/Master/Amex cards and all Indian Banks Debit Cards. There is no need to fill the application form in case you are paying online.
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Predictive Analytics & Big Data
Process & Application
Key Statistical Concepts
Correlation & Regression
Data Collection & Exploration
Data Mining, Data Distributions, & Hypothesis Testing
Data Reduction & Exploratory Data Analysis (EDA)
A/B Testing, Bayesian Networks, and Support Vector Machine
Artificial Neural Networks
Linear and Logical Regression
Text Mining & Social Network Analysis
Time Series Modeling
Machine Learning, Propensity Score, & Segmentation Modeling
Random Forests & Uplift Models
Model Life Cycle Management
Model Development, Validation, & Evaluation
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