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Business Intelligence & Analytics Lab

For today's Management Trainee, Entrepreneur, Edupreneur, the most sought DSS & ADSS required for each & every Business Organization.

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Business Intelligence & Analytics Lab

Founded in 2018 by Prof. Dr A. Rai who has worked in some of the leading corporate as Business Consultants and with esteemed Academicians that works in  Business Intelligence & Analytics Lab provides training in the field of analytics and Big Data.

Being an Academician Prof. Dr. Rai knows the beginner's nerves and the need of business world due to which BIAL has a unique method to deliver the best-designed course content BIAL  Consult & hires subject matter experts from the industry as well as Academician  to build out a curriculum which is most relevant to a specific role in the industry. Such as the flagship course offered by BIAL on Quantitative Data Analysis in Finance & Liquidity Transcript, Hybrid Marketing Intelligence (Combining Qualitative & Quantitative Marketing Analytics )Data Science with R / SAS / Python /Radidminer/IBM SPSS was designed by a Faculty & Alumnus of IITs  who was working with world’s foremost Industries & Corporate. This model ensures the course content meets the career objectives of not only aspiring students but also aspiring professionals at various stages of their careers. The course content is in-depth and comprehensive in nature enabling a trainee to be industry-ready for a particular role. 

SAS BASE

SAS ADVANCED

SAS ANALYTICS

SPSS, IBM

RAPIDMINER

WEFT

N-VIVO

MACHINE LEARNING with R Studio & Python

NEED OBJECTIVE
For your business to thrive, you need to know what’s working, what’s not, and how to improve. That much is obvious. But figuring out how to go about it? That’s the tricky part.
 Since the time matters and the future-confirmation diagnostic stage which empowers quality business choices with information, data, mind and heart will lead the association on the track of progress.
“BUSINESS INTELLIGENCE” MEAN
BUILD YOUR BI AROUND YOUR KPIS
ABOUT “BUSINESS INTELLIGENCE” WITH KPIS
PREDICTIVE VS DESCRIPTIVE ANALYTICS
“BUSINESS ANALYTICS” MEAN

EXECUTION WITH RIGHT TECHNOLOGY

If it’s all just semantics, why does this matter? Well, for one reason: at some point, you need to figure out which technologies, tools, and approaches you should invest in to get the insights you need. We could argue over which definition of BA and BI are most accurate until the cows come home, but the real problem here is that different people use them to mean wildly different things. That means it’s not terribly helpful to frame your purchasing decision as business analytics vs business intelligence. It’s more important to find out what’s really going on under the hood than to get hung up on whether a vendor bills their product as BA or BI. Focus on what you need the system to do, and who will use it. How detailed do you need your insights to be? How tech-savvy are the people that need to run queries the most? How much control and visibility do you need over the process and the source data itself? Are you more interested in understanding how you got here or getting an idea of where you’ll go next? Ultimately, these questions will help you establish the level of self-service you need, and whether your data requirements are geared more towards descriptive or predictive analytics, leading your business in the right direction – regardless of the terminology behind the tool.

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Machine Learning | R-Studio| Python

Machine Learning with R - studio & Python. Machine learning is a branch in computer science that studies the design of algorithms that can learn. Typical tasks are concept learning, function learning or “predictive modelling”, clustering and finding predictive patterns. Machine learning is an application of artificial intelligence (AI) that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it learn for themselves.

IBM SPSS Software

The IBM SPSS® software platform offers advanced statistical analysis, a vast library of machine-learning algorithms, text analysis, open-source extensibility, integration with big data and seamless deployment into applications. Its ease of use, flexibility and scalability make IBM SPSS accessible to users with all skill levels and outfits projects of all sizes and complexity.

Analytics, Business Intelligence and Data Management | SAS

SAS (Statistical Analytical software) stands for the Statistical Analysis System a software system for data analysis and report writing. SAS is a group of computer programs that work together to store data values and retrieve them, modify data, compute simple and complex statistical - analysis and create reports.

It's Necessities Pedagogy & Instructor

Industries Businesses & companies have always needed (and will always need) insights about their business performance for the same core reasons, but the skills, tech, and strategies used to draw out those insights evolve all the time.
The focus of BIAL’s pedagogy is providing practical hands-on training to its aspirants. Hence, in line with this pedagogical philosophy, their courses are designed in a way, that it emphasizes hands-on learning by using large and actual business datasets for students to practice at the BIA Lab. Case-studies also focus on practical industry problems. Strong industry exposure is also provided via multiple data science contests using datasets provided by different companies. The  BIAL runs two batches of (15 Trainee)  until the completion of the course. Instructor devotes most of its time to the existing student’s hands-on training, thus the enrollment for the course is quite limited.

Business Intelligence & Analytics Lab (BIAL)

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