BUSINESS INTELLIGENCE
Specialization | 19 Course Series
This Business Intelligence Training Certification includes 18 courses with 114+ hours of video tutorials and One year access. You will also get verifiable certificates (unique certification number and your unique URL) when you complete each of the courses. Through these you will learn the basic principles and elements of Business Intelligence along with various tools and their application such as SQL, Tableau, Minitab.
Offer ends in:
What you'll get
- 114+ Hours
- 18 Courses
- Course Completion Certificates
- One year access
- Self-paced Courses
- Technical Support
- Mobile App Access
- Case Studies
Synopsis
- Courses: You get access to both the 18 courses and projects. You do not need to purchase each course separately.
- Hours: 114+ Video Hours
- Core Coverage: Business Intelligence using Microsoft Excel, Business Intelligence with Tableau, Predictive Modeling using Minitab and SPPS, SAS – Predictive Modeling, Data Science, Big Data and Hadoop
- Course Validity: One year access
- Eligibility: Anyone who is serious about Business Intelligence and wants to make a career in this field.
- Pre-Requisites: Knowledge of R, SAS Programming Language would be useful
- What do you get? Certificate of Completion for each of the 18 courses, Projects
- Certification Type: Course Completion Certificates
- Verifiable Certificates? Yes, you get verifiable certificates for each course with a unique link. These link can be included in your resume/LinkedIn profile to showcase your enhanced skills
- Type of Training: Video Course – Self-Paced Learning
Content
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MODULE 1: Business Intelligence Fundamentals
Courses No. of Hours Certificates Details BI - Business Intelligence 14h 24m ✔ Business Intelligence using Microsoft Excel 5h 06m ✔ Business Intelligence with Tableau 5h 43m ✔ BIP - Business Intelligence Publisher using Siebel 2h 19m ✔ Analytics using Tableau 9h 28m ✔ Case Study - Customer Analytics using Tableau and R 2h 7m ✔ Case Study - Pricing Analytics using Tableau and R 2h 39m ✔ Project on R - Card Purchase Prediction 2h 28m ✔ Comprehensive Course on R 3h 54m ✔ -
MODULE 2: Predictive Modeling & Regression
Courses No. of Hours Certificates Details Predictive Analytics & Modeling using Minitab 15h 32m ✔ Predictive Analytics & Modeling using SPSS 13h 17m ✔ Predictive Analytics & Modeling with SAS 9h 19m ✔ SAS Features for Starters 1h 5m ✔ Predictive Modeling Training 1h 6m ✔ -
MODULE 3: Big Data & Data Visualization
Courses No. of Hours Certificates Details Data Science with Python 4h 14m ✔ Big Data and Hadoop Training | Online Hadoop Course 2h 2m ✔ Hadoop Architecture and HDFS 6h 13m ✔ Oracle SQL 17h 32m ✔
Description
usiness Intelligence can be defined as a set of methods or techniques which can be deployed to handle a large amount of data and extract meaningful information out of it. BI is used by organizations across the globe for the day today as well as the critical decision-making process. It helps organizations to leverage the technology into their core businesses which in turn helps them focus on the merits and demerits of their business. They get important insights into what is working well and what needs improvement.
In the age of the digital economy today, Companies have a mine of data that waits for exploitation. These companies generate a lot of data in their day to day transactions. The process by which all these data can be turned into actionable insights is called Business intelligence. Using Business Intelligence, companies can gain greater insight into their activities. They can find new opportunities. BI can also help them correct existing processes if anything is not going as intended. It can also help in the Identification of recent trends and competitive advantage over rivals in the market. Companies can identify top-selling products and services, potential growing market and demand-supply gap, etc. based on a few factors. It has huge applications. BI helps companies monitor their progress, know their pain points, control costs and bring discipline into their planning and expenses as well.
Sample Certificate
Requirements
- This Business Intelligence certification course is suitable for people with a technical background. Graduates in engineering, technology or basic science with sufficient exposure to programming can take this course. Following are the pre-requisite for a complete understanding of this course: –
- Familiarity with any one programming language such as C or C++.
- Familiarity with Windows or Linux operating system.
- Strong understanding of high school level mathematics.
- Ability to expresses ideas and explain findings to people, however, this skill can be learned in this business intelligence certification course as well.
- Ability to learn new skills quickly and adapt to new technologies and skills.
Target Audience
- This Business Intelligence training is suitable for a wide range of people who come from varied backgrounds and skill-set. Thus the target audience for this Business intelligence certification course could be one of the following: –
- Fresh Graduates in engineering such as B. Tech or M. Tech, computer programs such as BCA or MCA and similar people with similar degrees who are looking for a job in a competitive market.
- People working as database developers, backend developers or junior analysts who want to switch to more exciting career options with better pay and cutting-edge opportunities.
- People working as an architect, product owner, product manager, scrum master, team lead, etc. who want to exploit the benefits of business intelligence and data science in their projects.
- Already working BI developers who want to upskill themselves and learn new technologies that came into market science they last touched the book.
Course Ratings
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I found this course very helpful. The course was highly informative and very well presented. It was very easier to follow. Many complicated concepts were clearly explained. It improved my confidence with respect to programming skills
JIYEON CHOI
Very Informative and Well Organized Course Contents. High Quality Videos. I will recommend this course to anyone I know who interested to learn about Data Analytics.
JOSEPH WONG
I recently completed a data analytics course and found it to be an incredibly valuable learning experience. The course provided a comprehensive introduction to data analytics, covering everything from data collection and cleaning to advanced statistical analysis and data visualization. One thing I appreciated about the course was the hands-on approach to learning. Throughout the course, we worked with real datasets and used industry-standard tools such as Python, R, and Tableau to analyze and visualize the data. This gave me the practical skills and experience I needed to feel confident in my ability to work with data in a professional setting. The course instructors were knowledgeable and engaging, and they were always available to answer questions and provide feedback. The course also had a supportive and active online community, where I was able to connect with other learners and share my experiences and insights. Overall, I would highly recommend this data analytics course to an
Akram Ahmed
The Data Science Fundamentals online course that I recently completed. Overall, I found the course to be highly valuable and informative. The content was well-structured and provided a solid foundation for understanding key concepts in data science.
Priti Gajanan Patole