A description of how business analytics may be used to uncover useful information from data and influence strategic choices. For those looking to get a solid knowledge of the foundational principles and approaches throughout the rapidly evolving field of data analytics, the Business Analytics Foundation functions as an essential cornerstone. This foundational level's goal is to provide learners with the fundamental knowledge and abilities needed to successfully traverse the data-driven world and make valuable contributions to decision-making processes across a range of corporate scenarios. By completing the Business Analytics Foundation, people lay a solid foundation on which to build as they go along the analytics path.

This foundation lays the groundwork for ongoing learning and development within the dynamic area of business analytics, regardless of whether one aspires to become a business analyst, data scientist, or a decision-maker informed by data. Courses frequently include modules online, training sessions, and interactive sessions to meet students' differing learning preferences. Individuals in many career phases, from novices to experts wishing to hone their analytical skills, can benefit from this foundation.


USD 29,700 /-
USD 35,200 /-

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Course Highlights

Easily Reachable Entry Point: The foundation offers a place to start for people who are unfamiliar with business analytics and acts as an approachable entry point.

Fundamental Ideas: Participants receive a thorough knowledge of the fundamental ideas behind business analytics.

Diversity of Application: The curriculum is intended to be adaptable and useful across a range of businesses.

Theory and Practice in Harmony: Participants possess both conceptual comprehension and practical abilities.

Exploration and analysis of the data: Participants are given the tools they need to explore, evaluate, and derive valuable knowledge from data sets.

Data visualization executed well: Participants gain knowledge of the art of data visualization and develop the ability to produce eye-catching visuals.

Introduction to Predictive Analytics: Understanding how data may be utilized to produce accurate forecasts and direct future actions is laid out in the introduction to predictive analytics.

Ethics-Related Matters: The course discusses moral and legal issues related to corporate analytics.

Experience with capstone projects: Participants are able to utilize their knowledge within a practical setting by completing a capstone project.

Flexible Learning Paths: Through online modules, training sessions, and interactive sessions, the foundation frequently accommodates varying learning preferences.

Getting Ready for Advanced Learning: For individuals who want to seek more advanced qualifications or expertise in certain areas of business analytics, having the foundation completed provides a strong basis.

Updates to Industry-Related Content: The curriculum is regularly updated to ensure that it remains current with the newest commercial trends.

Pathway development for careers: Participants learn about possible career routes in the analytics industry.



After you complete the course with The Skillfloor, offered by the Business Analytics Foundation Certification, set off on your adventure into the dynamic world of data-driven decision-making. For those looking to get a thorough knowledge of key ideas in the constantly developing field of business analytics, this program acts as a starting point. Engage yourself in the foundations, from understanding statistical analysis and predictive analytics to utilizing business intelligence. A harmonic equilibrium between theory and practice is achieved in the program to ensure that you get both the conceptual knowledge and practical skills necessary for success in analytics. hone your skills in ethical issues, the use of analysis in decision support systems, and effective data visualization. A practical capstone project that you complete as part of the degree allows you to put your newly acquired knowledge to use in actual situations. 



Top 10 Reasons For Choosing this Course

Overview of the Analytics Landscape: The foundation curriculum provides a thorough grasp of the analytics environment, including its extent, importance, and possible applications.

Develop Crucial Skills: Become proficient in the fundamentals of data analysis, statistical thinking, and data visualization.

Diversity of Application: Professionals in banking, healthcare, marketing, and other fields can use the foundation's capabilities, which have broad applicability.

Making Knowledgeable Decisions: For workers in positions that range from analysts in business to those making decisions inside businesses, discovering how to use information to make educated decisions is essential.

Useful Application: In order to ensure that participants are capable of applying their knowledge to real-life situations, the program places a strong emphasis on real-world application through projects that are hands-on and a capstone experience.

A balanced approach to learning: The course material maintains a good mix of theoretical ideas and practical abilities.

Exploring Career Options: Investigate possible career paths in the analytics industry to assist participants in making well-informed choices regarding their professional routes and future specialities.

Content Relevant to Industry: Participants are taught the most recent methods and technologies utilized in the dynamic field of analytics for business since the curriculum is frequently revised to reflect market developments.

A starting point for ongoing learning: The foundation's completion marks not only a conclusion but also a new beginning. It acts as a starting point for further education and motivates professionals to keep current with analytics developments during the course of their careers.


Course Curriculum

  •  Overview of Business Analytics
     Applications of Business Analytics
     Role of Business Analytics in decisionmaking
     Types of Business Analytics

  •  Data Collection, Cleansing, and Integration
     Data Visualization
     Statistical Analysis
     Exploratory Data Analysis

  •  Regression Analysis
     Time Series Analysis
     Forecasting Techniques
     Machine Learning Algorithms

  •  Optimization Techniques
     Simulation and Scenario Analysis
     Decision Analysis
     Risk Analysis

  •  Dashboards and Scorecards
     Key Performance Indicators
     Data Warehousing Concepts
     Data Mining Implementation

  •  Application of Business Analytics Techniques
     Presentation of findings
     Recommendations and actions based on analysis

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