What you'll get
- 114+ Hours
- 18 Courses
- Course Completion Certificates
- Self-paced Courses
- Technical Support
- Case Studies
Synopsis
- Learners receive access to all 18 courses and their projects, eliminating the need to purchase each course individually.
- The program offers more than 114 hours of detailed video-based learning.
- The curriculum covers key areas such as Microsoft Excel for Business Intelligence, Tableau for BI, Predictive Modeling with Minitab and SPSS, SAS for Predictive Modeling, Data Science, and Big Data with Hadoop.
- Participants receive one year of unrestricted access to all course materials.
- The program is suitable for anyone serious about pursuing a career in Business Intelligence.
- Having prior knowledge of R or SAS programming can be beneficial, but it is not a strict requirement.
- Learners receive a Certificate of Completion for each of the 18 courses along with practical project experience.
- Every certificate is issued in a verifiable format with a unique link that can be added to resumes or LinkedIn profiles.
- The training is delivered through a self-paced video learning format, allowing learners to study at their own 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 presented as a powerful framework of tools and techniques for managing vast volumes of data and transforming them into valuable insights. It enables organizations to make both routine and strategic decisions with clarity and confidence. By incorporating BI into their workflows, organizations can clearly see where they excel, where challenges exist, and how their operations are performing as a whole, helping them pinpoint what is working well and what needs attention.
In today's digital landscape, organizations generate massive amounts of data across everyday operations. Business Intelligence provides the mechanism to convert this raw information into meaningful, actionable insights. Through BI, companies can uncover new opportunities, refine existing processes, and detect deviations before they become concerns. It empowers them to analyze emerging trends, understand market movements, and build a competitive edge. By highlighting best-performing products, evolving market demand, and potential growth segments, BI becomes an essential tool for informed decision-making. Ultimately, it supports organizations in tracking progress, addressing pain points, optimizing expenses, and strengthening planning and operational discipline.
Sample Certificate
Requirements
- The course is ideal for learners with a technical foundation, particularly those from engineering, technology, or science backgrounds with basic programming experience.
- Participants are expected to be comfortable with at least one programming language, such as C or C++.
- A working understanding of either Windows or Linux operating systems is recommended.
- Learners should have a solid grasp of high-school level mathematics.
- The ability to clearly communicate ideas and interpret insights is helpful, though this skill can also be strengthened during the course.
- Participants should be open to acquiring new skills quickly and adapting to emerging tools and technologies.
Target Audience
- Fresh graduates from engineering, computer science, and related fields—such as B.Tech, M.Tech, BCA, or MCA- who want to strengthen their profile and secure opportunities in a competitive job market.
- Professionals currently working as database developers, backend engineers, or junior analysts who are aiming to transition into more dynamic, high-growth roles within the BI domain.
- Individuals in roles like architect, product owner, product manager, scrum master, or team lead who wish to leverage Business Intelligence and data-driven practices to improve project outcomes.
- Existing BI practitioners who want to expand their expertise and stay updated with the latest tools and advancements in the field.
