What you'll get
- 114+ Hours
- 18 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Learners gain bundled access to 18 comprehensive courses, including hands-on projects, without having to purchase them separately.
- The program delivers 114+ hours of in-depth, video-based instruction.
- Coverage spans essential Business Intelligence and analytics tools, including Microsoft Excel, Tableau, predictive analytics using Minitab and SPSS, advanced modeling with SAS, Data Science concepts, and Big Data processing with Hadoop.
- Participants receive 12 months of unlimited access to all learning materials.
- The program is designed for individuals committed to building a career in Business Intelligence.
- Prior exposure to R or SAS is helpful but not mandatory.
- Each course awards a Certificate of Completion, supported by practical project work.
- Certificates are verifiable and include a unique URL suitable for resumes and LinkedIn profiles.
- Learning is delivered through a self-paced online video format, allowing flexibility and convenience.
Content
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| BI - Business Intelligence | 14h 24m | ✔ | View Curriculum |
| Business Intelligence using Microsoft Excel | 5h 06m | ✔ | View Curriculum |
| Business Intelligence with Tableau | 5h 43m | ✔ | View Curriculum |
| BIP - Business Intelligence Publisher using Siebel | 2h 19m | ✔ | View Curriculum |
| Analytics using Tableau | 9h 28m | ✔ | View Curriculum |
| Customer Analytics using R and Tableau | 2h 7m | ✔ | View Curriculum |
| Pricing Analytics using R and Tableau | 2h 39m | ✔ | View Curriculum |
| Card Purchase Prediction using R | 2h 28m | ✔ | View Curriculum |
| Comprehensive Course on R | 3h 54m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Predictive Modeling using Minitab | 15h 32m | ✔ | View Curriculum |
| Predictive Modeling using SPSS | 13h 17m | ✔ | View Curriculum |
| SAS - Predictive Modeling with SAS Enterprise Miner | 9h 19m | ✔ | View Curriculum |
| SAS - An Introduction | 1h 5m | ✔ | View Curriculum |
| Predictive Modeling Training | 1h 6m | ✔ | View Curriculum |
| Courses | No. of Hours | Certificates | Details |
|---|---|---|---|
| Data Science with Python | 4h 14m | ✔ | View Curriculum |
| Big Data and Hadoop Training | Online Hadoop Course | 2h 2m | ✔ | View Curriculum |
| Hadoop Architecture and HDFS | 6h 13m | ✔ | View Curriculum |
| Oracle SQL Comprehensive Training | 17h 32m | ✔ | View Curriculum |
Description
Business Intelligence is positioned as a strategic collection of methodologies, tools, and technologies that enable organizations to convert large-scale data into actionable insights. By leveraging BI solutions, organizations can evaluate operational performance, identify strengths and weaknesses, and support both day-to-day and long-term decision-making with confidence.
In the modern digital ecosystem, enterprises continuously generate vast amounts of data across functions. Business Intelligence connects unprocessed data with a clear understanding by converting information into actionable insights that support informed decision-making. It helps organizations uncover growth opportunities, optimize internal processes, and identify irregularities before they escalate. Through trend analysis, market evaluation, and performance tracking, BI equips businesses to improve forecasting accuracy, control costs, and strengthen operational discipline—making it a critical capability for data-driven success.
Sample Certificate
Goals
- To build a strong foundation in Business Intelligence concepts and practices
- To enable learners to transform raw data into meaningful insights
- To provide hands-on exposure to industry-relevant BI and analytics tools
- To prepare participants for data-driven roles across multiple industries
Objectives
- Understand the complete Business Intelligence lifecycle
- Develop proficiency in BI, analytics, and visualization tools
- Apply predictive modeling techniques to real-world datasets
- Interpret trends, patterns, and business metrics effectively
- Gain practical experience through project-based learning
Highlights
- Access to 18 industry-aligned BI and analytics courses
- Over 114 hours of structured video content
- Practical, project-oriented learning approach
- Self-paced training with one-year unlimited access
- Multiple verifiable certificates to enhance professional credibility
- Coverage of BI, predictive analytics, data science, and big data technologies
Requirements
- A technical or analytical background is preferred, especially in engineering, science, or technology fields
- Basic familiarity with at least one programming language (such as C or C++)
- Familiarity with either the Windows or Linux operating environment is expected
- Understanding of mathematics at a high-school level
- A readiness to adopt new tools and quickly adjust to emerging technologies
Target Audience
- Recent graduates from engineering, computer science, or related disciplines (B.Tech, M.Tech, BCA, MCA) seeking to enhance employability
- Working professionals such as database developers, backend engineers, or junior analysts aiming to move into BI-focused roles
- Leadership and management professionals (architects, product owners, product managers, scrum masters, team leads) looking to apply data-driven decision-making in projects
- Experienced BI professionals who want to broaden their skill set and stay current with emerging tools and trends
FAQ
Q1. Is prior experience in Business Intelligence mandatory?
No. The program starts with fundamentals and gradually advances to complex concepts, making it suitable for beginners and professionals alike.
Q2. Are the courses instructor-led or self-paced?
All courses are delivered through a self-paced video learning model for maximum flexibility.
Q3. Will learners receive certificates?
Yes. Each course provides a verifiable Certificate of Completion upon successful participation.
Q4. How long can learners access the course materials?
Participants receive unrestricted access for one full year.
Q5. Does the program include practical projects?
Yes. Each course includes hands-on projects to reinforce real-world application.
Career Benefits
- Builds job-ready skills for roles in Business Intelligence, analytics, and data science
- Enhances resumes with multiple verifiable certifications
- Improves data interpretation, reporting, and decision-making capabilities
- Opens opportunities across industries such as finance, healthcare, retail, technology, and consulting
- Supports career transitions into high-growth, data-driven roles
