We empower you with Analytics Skills. We Connect You with Prospective Employers.
We Prepare You for High Paying Certifications. More than this, We Make You Job Ready!
At StudyAnalytics you will meet dedicated SAS Advanced Certified in-house faculty with a passion to teach. Highly skilled, industry experienced and specialized faculty with advanced hands-on pedagogy which will transform you to the industry expected skill levels.
We introduce you to the opportunities and trends in analytics through the guest lectures and workshops by eminent and leading Industry practitioners like VPs, Delivery Managers, Solution Architects from reputed recruiting companies as well.
Courses Prepared Carefully focusing Beginners in Analytics to Fetch the Right Job Opportunities in Industry as Data Analysts, Data Scientists and Business Analysts
Become an expert in performing complex queries and generating reports using Advanced Visual Analytics and strong SAS programming foundation90 Days More Info
Become an expert in Handling the Data engineering part of Analytics using multiple top demanding softwares like SAS, Python, R etc.120 Days More Info
Become an enthusiast for learning the science of modern data by getting Hands-On with ML,DL, NLP, Data Visualisation,AI using Python, R and SAS tools180 Days More Info
Expertise in MIS Analytics and Data Visualization using softwares like SQL, EXCEL, VBA, Tableau, QlikView etc.60 Days More Info
Courses Carefully Prepared to Achieve Proficiency as Basic User or Polish Skills and Finish the Learning Curve as an Intermediate One
Expertise on Data Analytics with Hands on Training on SAS Software and take up Top Demanding Global SAS Certifications.110 Hours More Info
Master Data Visualisation with the most demanding MIS reporting tool - QlikView30 Hours More Info
Expertise in the most popular open source software for Business Analytic R programming and advanced machine learning techniques using R software20 Hours More Info
Learn how to use Python and the programming techniques to develop python based applications and Data processing for Data Science.30 Hours More Info
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