Course Introduction:
Want to transition from traditional statistical modeling to the machine learning world. Knowledge of statistics relevant to machine learning will prepare you to become a data scientist. Learn to prepare, develop, compare, and deploy advanced analytics models to make better decisions on big data.
Who should attend: Business analysts, data analysts, marketing analysts, marketing managers, data scientists, data engineers, financial analysts, data miners, statisticians, mathematicians, and others who work in correlated areas.
Prerequisites: A Bachelor/Master degree. Before attending this course, participants should have at least an introductory-level familiarity with statistics and machine learning concepts. Previous SAS software experience is helpful but not required
Complimentary courses
Key Features designed to help you achieve your goals
Comprehensive Training
Exhaustive content developed by experts and taught by immemsely experienced trainers
Real-world case studies
Enhance your learning with practical application based on actual case studies.
Hands-on learning
Experience hands-on learning with SAS Viya by accessing the SAS platform
Globally-recognized credentials
Earn a certification tailored with training that helps prepare you for each exam.
Resources to reinforce training
Get full access to video tutorials, class recording, course notes and more.
SAS expertise
Ask questions, find guidance and stay on track with SAS communities.
Case Studies in the Curriculum
Learn the application of machine learning through a comprehensive set of case studies designed by international industry experts in fields such as BFSI, Retail, E-Commerce, Cyber crime and much more.
Earn SAS Verified Digital Badges
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Akshay Dixit
Presently working as an analytics training consultant with SAS India, he has extensive training experience in SAS with leading clients both in India and abroad.
He has conducted workshops in the areas of predictive modelling, big data analytics, data visualisation, and enterprise business intelligence across various sectors, including banking, retail, manufacturing, and telecom.
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Ritu Sekhon
Presently working as an Analytics Training Consultant with SAS India. She has extensive training experience in SAS with all the leading clients in the Government, Banking, Insurance and Academia in India.
She has conducted training sessions in the area of Predictive Modelling, Forecasting and Optimization, Visual Statistics, Data Visualization, Text Analytics, Deep Learning.
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Vipin Dubey
Presently working as an Analytical Training Consultant with SAS. He has 10+ years of Training experience including seven years in Analytical domain.
He has conducted workshops in the area of Data Visualization and Exploration, Predictive Modeling, Machine Learning and Time Series Analysis.
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John Coutinho
Presently working as a Senior Education Consultant with SAS India. He has 20+ years of Training and Mentoring experience in SAS with all the leading clients in India and abroad.
He had conducted mentoring workshops for many clients in Data Management, Business Analytics, Reporting and Administration in SAS Viya.
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Mahesh Dubey
Presently working as a Senior Training Consultant in Education Department of SAS Institute (India) Private Limted. He has a total experience of 19+ years in the field of education. He has been working with SAS since the last 7+ years and worked wih various leading clients in Asia-Pacific and Middle-East.
He also has 13+ years of experience in various Data Warehousing and Business Intelligence Technologies such as Business Objects, Informatica, Oracle Business Intelligence and Cognos. He has total 10+ International certifications in SAS and Oracle Database.
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Madhav Desiraju
Presently working as an Education Consultant with SAS India. He has 7+ years of training and consulting experience in Data Management and Analytics.
He has conducted programs and workshops for various academic and corporate clients across Healthcare and Banking sectors.
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Kamakshi Hans
Presently, working as a Training Consultant with SAS India. She has over 5 years of teaching experience in academics with a background in pre-clinical research.
As a Base SAS Programmer and Clinical Trial Programming Professional, her proficiency extends to data exploration, data manipulation, data analysis, and data visualization.
"In any business, machine learning helps to learn the entire customer life-cycle journey and unearth important information about them"
- The Economic Times
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