Beschrijving
Business analytics is a multidisciplinary field that draws on a range of skills, including statistical analysis, data mining, machine learning, and data visualization. It is an essential part of any modern business strategy, as it allows companies to gain a deeper understanding of their customers, operations, and competition. With the rise of big data and the increasing availability of powerful analytical tools, business analytics is set to play an even more important role in the future of business. For neophytes interested in pursuing a career in business analytics, it is important to have a solid foundation in mathematics, statistics, and computer science, as well as an understanding of business principles and practices.
Program
Duration: 6 months. . Prerequisites: Basic knowledge of statistics, programming and Excel.. . Course Outline:. . 1. Introduction to Business Analytics. - Understanding the role of analytics in business decision making. - Overview of business analytics tools and techniques. - Overview of data-driven decision making. . 2. Data Collection and Preprocessing. - Data collection methods. - Data preprocessing techniques. - Cleaning and wrangling data. - Handling missing values. . 3. Data Exploration and Visualization. - Exploratory data analysis. - Data visualization tools and techniques. - Identifying and visualizing patterns in data. - Interpretation and communication of insights through data visualizations. . 4. Statistical Analysis. - Understanding statistical distributions and hypothesis testing. - Regression analysis and modeling techniques. - Time series analysis. - Multivariate analysis. . 5. Machine Learning for Business Analytics. - Overview of machine learning algorithms and techniques. - Supervised and unsupervised learning. - Building predictive models using machine learning. - Model selection and evaluation. . 6. Business Analytics Applications. - Applications of business analytics in different business areas such as marketing, finance, operations, and HR. - Case studies and real-world examples of analytics-driven decision making. - Ethical and legal considerations in business analytics. . 7. Capstone Project. - Participants will work on a real-world business problem using the concepts and techniques learned in the course. - Participants will present their findings and recommendations to the class. . Delivery Methods:. . 1. Live Online Instructor-led sessions. 2. Hands-on exercises and case studies. 3. Access to online resources such as video tutorials, reading materials, and quizzes. 4. Collaborative learning through group assignments and peer-to-peer learning. . Assessment:. . 1. Weekly quizzes to test understanding of concepts. 2. Hands-on assignments to apply learned concepts. 3. Final capstone project and presentation. 4. Regular feedback and assessment of participant's progress. . Certification:. . Upon successful completion of the program, participants will receive a certificate of completion indicating the skills they have acquired in business analytics.
Prerequisites
No requirements
Who is this course for
For all
Duration
The duration of the course is flexible. Contact our educational managers for more information.
Course Format
Online,Hybrid,Blended
Evaluation procedures/Certification
This training is evaluated through a test scenario and multiple choice questions. To validate the course, it is necessary to validate all the skills. For information, there is no equivalence or bridge to validate this course. To download and take our quizzes for validation of acquired knowledge, please connect to the online storage platform with your login details.
Upcoming dates
December 2025
January 2026
February 2026
How to access the course
To pre-register for this course and receive all the necessary information, please click on the registration button above. A quizz is proposed to allow us to direct you to the right course and instructor.
When to access the course
After registration, you will receive all the details to start the course.
Administrative & Educational Contact
Nduka NZEKA - formations(at)ilaria-academy.com
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"I had no prior experience in data analysis, but this course provided me with a solid foundation in business analyticsI am now able to confidently work with data and make data-driven decisions."
"This course was a game-changer for meIt taught me how to use analytical tools and techniques to identify business opportunities and drive growth in my organization."
"The instructor was knowledgeable and engaging, and the course content was very relevant to my jobI feel much more confident in my ability to analyze and interpret data."
"I loved how hands-on the course wasWe had the opportunity to work with real-world data sets and apply what we learned in a practical way."
"The course gave me a new perspective on data analysisI now see it as a critical part of my job and am excited to continue building my skills in this area."
"I was hesitant to take this course at first, but I'm so glad I didThe skills and knowledge I gained have already helped me in my current role and I know they will continue to serve me well in the future."
"The course was well-organized and easy to followThe instructor was able to explain complex concepts in a way that was easy to understand."
"The case studies and examples used in the course were very relevant to my industryI was able to see how analytics can be applied to solve real-world business problems."
"The course was a great investment in my careerI have already been able to apply what I learned to make a positive impact in my organization."
"I highly recommend this course to anyone who wants to improve their analytical skillsThe instructor and course content are top-notch."