From Data to Decision: A Business Game-Changer

(DSBIZ™)

All our courses are 100% teacher-led by our authorized instructors and include certification exams.
Getting certified, you can also have the possibility to join Be Licensed’s recruitment portal.

Course Overview

Staying ahead of shifting trends is the secret to business success. Whether it’s spotting new customer behaviors, maximizing sales opportunities, or staying compliant with evolving regulations, smart businesses know how to track what matters most. In today’s fast-paced world, data is everywhere—and it’s powerful. By harnessing cutting-edge data science, you can turn raw data into actionable insights, fueling smarter decisions that drive growth and boost profits. Don't just react—lead the way with data-driven success.

Course outcome

By completing this course, individuals will gain a comprehensive understanding of data science concepts and how they apply to business challenges. The curriculum covers key areas such as data analytics, artificial intelligence, machine learning, and statistical analysis, enabling participants to harness data for decision-making, improve customer experiences, and optimize operations. Learners will also explore ethical considerations, regulatory frameworks, and the data science lifecycle, ensuring they can effectively manage data-driven projects within an organization. This course thoroughly prepares individuals to take the associated exam, demonstrating their proficiency in leveraging data science for business success.

Your new skills

Data Science Fundamentals
Data Analytics (Descriptive, Predictive, Prescriptive, Diagnostic)
Business Intelligence and Data Visualization
Root Cause Analysis and Forecasting
Statistical Analysis (Sampling, Central Tendency, Distribution, etc.)
Artificial Intelligence (AI) and Machine Learning (ML)
Programming Tools (Python, R, SQL)
Data Lifecycle (Discovery, Preparation, Modeling, etc.)
Personalized Customer Experience (Sentiment Analysis, Recommender Systems)
Audience Segmentation and Targeted Advertising
Fraud Detection and Cybersecurity
Predictive Maintenance and Dynamic Pricing
Data Wrangling and Data Cleaning
Ethical Considerations in Data Science (Privacy, Accountability, etc.)
Legal and Regulatory Frameworks (e.g., GDPR, AI Legislation)

Prerequisites:

Knowledge: Basic Computer Literacy: Ability to navigate operating systems (Windows, macOS, or Linux). Basic knowledge of how websites and web applications function.

Experience: No previous experience in data science is needed.

Hardware: A computer that can access the internet and run a modern internet browser.

Software: Internet browser - the suggested browser is Google Chrome.

Access: Internet access - a stable fiber connection of at least 10 Mbps up and down speeds is recommended.

What is included in the price?

Fully led by an authorized instructor.

All materials needed to complete the course are included in the course fee. This includes course literature, exercise assignments and fees for the certification exam.

The course is held remotely in a virtual classroom. All lectures are recorded and are available as reference material for two weeks after course completion.