About the Program
As rightly said by, Mr. Nic Smith Microsoft BI Solutions Marketing.
“BI is about providing the right data at the right time to the right people so that they can make the right decisions”.
Traditional BI platforms have provided companies with insights, but only through hands-on work by the data team. However, modern business intelligence services empower professionals to be their own data scientists.
EduBridge’s Post Graduate Certification Program in Business Intelligence and Analytics is designed to develop data specialists with in-demand modern BI services. This comprehensive training program is driven by a group of highly qualified and experienced Master Trainers. You will get trained on working with data using different tools that help companies to make better business decisions. This program will navigate you through four terms, which are Foundation of BI, Predictive Analytics and Machine Learning, BI Tools and Techniques along with Application Domain of BI and Analytics. Every term is focused to inculcate the strong conceptual and practical foreground of the domain. You will gain a robust knowledge of taking informed business decisions through planning, monitoring and working with data through projects/case studies and Capstone Live projects. You can master the BI languages and tools like Tableau, R, SAS, Informatica, and Datastage along with Python and its advanced libraries used for Predictive Analytics and Machine Learning.
The objective of this program is to empower you to be BI & Analytics professional and make you proficient enough to derive meaningful insights from the data resources, in turn supporting the business expansion and growth of companies.
This is the right time, for job desired aspirants like you, to enroll in this course and start a professional career through the assistance of our Dedicated Placement Manager forum.
This course will,
- Be executed in the form of 4 terms which ensures to achieve the following objectives
- Term 1: Foundation of BI and Analytics Training Objective: (1) Creating a strong BI foundation (2). Applying financial theories to business. (3) Managing customer relationships (4) Managing complex data. (5) Using Laboratory Tool: R
- Term 2:Predictive Analytics Techniques Training Objectives:(1) Data set Analysis (2) Applying Regression techniques (3)Applying time series and forecasting techniques (5) With Laboratory Tool: R, Python
- Term3:Business Intelligence- Analytics tools and technologies Training Objectives: (1) Dashboard making with BI tools.(2) Using R and SAS for Business Analytics (3) With Laboratory Tools: Excel, SAS, Power BI, Tableau, R, Python
- Term 4:Application Domain Training Objectives :(1) Performing marketing and retail analytics (2) Performing web and social media analytics (3) Performing supply chain and logistic analytics (4) Introduction to Big Data Analytics (5)With Laboratory tools: Hadoop, Spark, Google Analytics, Excel
We hope that you will gain the required knowledge from this program and demonstrate the skills learnt.
All the best!
Course Outcomes
Minimum Eligibility
Learners will get an overview of the technology of BI and the application of BI to an organization’s strategies and goals.
Slideshow: Introduction to Business Intelligence and Data AnalyticsThis module emphasizes more on knowledge of financial theories within the primary areas of finance and its utilization of problem-solving skills within finance.
Slideshow: Business FinanceThe goal of this module is to improve and optimize customer relationships, in order to drive customer loyalty, retention, revenue and customer lifetime value.
Slideshow: Marketing and CRMInterdisciplinary Group Formation
Slideshow: BI Capstone Project Discussion 1This module will motivate learners to demonstrate the ability to perform complex data management and analysis.
Slideshow: Statistics Methods for Descision MakingData Preprocessing,exploratory analysis and data visualization using R
Slideshow: Project 1This module will guide the learners to analyze the datasets and will motivate them to assess the future prediction based on the problem statement of case studies.
Slideshow: Introduction to Predictive AnalyticsAfter completion of this module learners will be able to predict the value of output variable based on the input variable.
Slideshow: Simple Linear Regression (SLR)Literature Survey
Slideshow: BI Capstone Project Discussion 2The goal of multiple linear regression is to model the linear relationship between the explanatory (independent) variables and response (dependent) variables.
Slideshow: Multiple Linear Regression (MLR)Logistic regression aims to measure the relationship between a categorical dependent variable and one or more independent variables (usually continuous) by plotting the dependent variables' probability scores.
Slideshow: Logistic RegressionThis module will help learners to create a model that predicts the value of the target variable.
Slideshow: Decision Trees and Unstructured Data AnalysisProject Overview
Slideshow: BI Capstone Project Discussion 3Learners will be able to identify the nature of the phenomenon represented by the sequence of observations and forecasting or predicting future values of the time series variable.
Slideshow: Forecasting and Time Series AnalysisLearners will get familiarized with some basic learning algorithms and techniques along with their applications.
Slideshow: Machine Learning OverviewImplimenting simple recommender system based on user buying pattern
Slideshow: Project 2After completion of this module learners will understand an importance of graph theory in data visualization.
Slideshow: Introducion to Data VisualizationMethodology and Implementation
Slideshow: BI Capstone Project Discussion 4Learners will understand the necessity of creating historical data that can be retrieved and analysed to provide useful insight into the organization's operations.
Slideshow: Data Warehouse IntroductionLearners will be able to understand the administration of the Informatica tool.
Slideshow: InformaticaLearner will understand how data-stage allows scheduling, monitoring, and running the jobs.
Slideshow: DatastageImplementation 2
Slideshow: BI Capstone Project Discussion 5This module aims to provide Interactive Visualization and Business Intelligence capabilities, with a simple interface for end users to create their own reports and dashboards.
Slideshow: Data Visualization with Power BILearners will be able to use scatter plots, charts, graphs, histograms, maps from R to make data more understandable and presentable.
Slideshow: Data Visualization with RLearners will be able to retrieve, report and analyze statistical data, after completing the module.
Slideshow: SAS for BIImplementation 3
Slideshow: BI Capstone Project Discussion 6Learners will be able to create interactive graphs and charts in the form of dashboards and worksheets to gain business insights.
Slideshow: Data Visualization with TableauDashboard Making using Tableau
Slideshow: Project 3In this module, learners will know the role of Big Data in business expansion and growth strategies.
Slideshow: Introduction to Big DataLearners will understand Big Data analytics as a process used to extract meaningful insights, such as hidden patterns, unknown correlations, market trends, and customer preferences.
Slideshow: Big Data AnalyticsLearners will be able to develop a marketing strategy by maximizing the use of data to create a form of data-influenced actions that are aligned with the business objectives.
Slideshow: Marketing and Retail AnalyticsResults and Conclusion
Slideshow: BI Capstone Project Discussion 7Learners will be able to perform web and social media analytics, which helps to track, measure and analyze the performance of the social campaigns.
Slideshow: Web and Social Media AnalyticsLearners will understand the importance of Supply Chain Analytics, which aims to improve operational efficiency and effectiveness by enabling data-driven decisions at strategic, operational and tactical levels.
Slideshow: Supply Chain and Logistics AnalyticsDemo and viva voce
Slideshow: BI Capstone Project Discussion 8In this module, you will learn what is Resume Builder feature and how to create customized resume.
Slideshow: Resume BuilderA Course Certificate is an official EduBridge credential that confirms that you successfully completed a course on EduBridge India.
Complete all the modules and tests successfully to earn the prestigious certificate from EduBridge.
Pass all required assignments in the course to get badges in our Learner Portal.
Meet the course passing threshold for a cumulative graded course to gain the access to the digital Certificate of Completion* or Certificate of Achievement*.
*Don’t forget to add Certificate in your cart to complete this purchase.
- Tools and technologies:: Be proficient with BI tools like Tableau, Excel, Power BI, Informatica and Datastage along with Business Analytics with R,SAS and Python.
- Project based training:: Project based and experiential training method along with 450 hours of instructor led training
- Capstone project:: Dedicated 30 Hrs of guided Capstone Project which helps to develop solution oriented team work approach in the learners. which in turn adds value to their resume.
- Assessment:: A set of knowledge assessment in the form of MCQ's and coding assessments..
- Foundation of Business Intelligence and Analytics
- Predictive analytics and Machine Learning with R and Python
- Business Intelligence tools and techniques with Tableau, SAS, R, Informatica and Datastage
- Applications of BI and Analytics in Marketing, Finance, Logistic and social media
- Project Work- Capstone + Mini Projects
- Business Intelligence Engineer ::The engineers responsible for the strategic insights of a company’s data. Maintaining reports, charts, metrics, and dashboards to enable efficient and effective ways o
- Data Analyst :: The people who work to process data, who are involved in inspection, cleansing, transforming, and modeling of the data with a goal to extract useful information or results.
- Business Intelligence Analyst :: Responsible for helping businesses leverage data and identify opportunities for improvement, spot trends, recognize issues and offer solutions.
- Marketing Analyst :: Responsible for studying market conditions to assess the potential sales of products and services.
- Operations Analyst : :Key member of the operations team supporting data management, client reporting, trade processes, and problem resolution
Manager
Job Portal
Guest Lectures
Builder Service
Package
preference
Fee
For any Course, you enroll at EduBridge, you need to have a proper Internet connection and a Mobile, PC or a Laptop. Do read Course specific requirements while you enroll and also our Policies and Terms & Conditions.
This issue could be due to several reasons. Try the below options : - Check the format of your document: Should be PDF/PPT/Doc/JPG and nothing else - Check the file size: Should not exceed 5MB - Refresh the page - Clear the Cache and Cookies from the web browser (to know the steps for clear cache and cookies, check the troubleshoot FAQs)
We do not provide recorded sessions for any class since our key differentiator is the experience that you get with our Master Trainer. However, you will be able to get access to several content related videos subscribing to our YouTube Channel “Learn Online with EduBridge".
Ans: E-ON offers three ways of learning. - Learn by Yourself - 100% self-study at your own pace - Learn with a Master Trainer- 100% live training program with our Master Trainers - Learn at the Academy- Blended training (Live Online training + Classroom Training)
In order to enroll for and take an IT Course, you need to have the following system requirements: Platform - Windows 8 or higher with the latest updates installed - RAM: 4GB or more - Video: Graphics Output Capability - Sound: Sound Output Capability - Intel i3 Processor or higher or similar output Processor from AMD.
Calendar will give notification and information about the Training Schedules/ Guest lectures/ Assessments etc.
