BOOTCAMPS
Data Science & AI
The Data Science & AI Bootcamp is designed to equip you with the skills and knowledge needed to excel in one of the most in-demand fields today. Learn how to collect, process, and analyze complex datasets to uncover valuable insights. From understanding the basics of statistics and programming to mastering advanced machine learning techniques, this program ensures a comprehensive learning experience tailored to industry needs.
Throughout the bootcamp, you will work on real-world projects that simulate challenges faced by data professionals. With a hands-on approach, you’ll explore tools like Python, SQL, and Power BI, and gain expertise in libraries like Pandas, NumPy, and scikit-learn. You will also dive into machine learning concepts, learn to build and evaluate predictive models, and explore Azure data services to perform data analysis in the cloud. By the end of the program, you’ll be ready to solve real business problems using data, work effectively in cloud environments, and build a portfolio that showcases your skills to potential employers.
Someone who completes this bootcamp can easily apply to junior data scientist job postings. In addition, we get to know our students closely throughout the bootcamp and create a roadmap for them. We guide them to develop both their technical and soft skills.
All courses are online and face to face. Before the course, students prepare weekly from the Learning Management System. After the course, homework and group work are done to fully understand and reinforce the subject. Thus, complete and permanent learning is ensured.
Key Points
- Comprehensive Curriculum – Covers statistics, data science, and machine learning.
- Hands-On Projects – Solve real-world data challenges and build practical skills.
- Microsoft Azure – Solve problems easily with cloud computing, an indispensable technology today.
- Industry Tools – Learn Python, SQL, Power BI, and essential data libraries.
- Data-Driven Insights – Learn to interpret and communicate data effectively.
- Expert Guidance – Receive mentorship from experienced data professionals.
- Career Ready – Build a portfolio to showcase your expertise to employers.
- Flexible Learning – Designed to fit your schedule and pace.
Course Lessons
Introduction to Data Science & AI
Begin your journey into data science by understanding its foundations and importance in the modern world. This lesson covers the role of data in decision-making, the lifecycle of a data science project, and an overview of the tools and techniques you will use throughout the bootcamp. Gain a solid understanding of what makes a successful data scientist.
Probability and Statistics
The Probability and Statistics module provides a solid foundation in understanding data distributions, measures of central tendency, variability, and correlation. Participants will learn essential concepts such as probability theory, hypothesis testing, and regression analysis. These topics are critical for building predictive models and making data-driven decisions in AI and data science applications.
Python
The Python module introduces participants to Python programming, covering essential topics such as data types, loops, functions, and file handling. The course also includes advanced topics like Object-Oriented Programming (OOP), enabling participants to design scalable and reusable code. Additionally, libraries like NumPy, Pandas, and Matplotlib will be explored to handle data manipulation and visualization, providing the skills necessary for data science and AI applications.
SQL
The SQL module equips participants with essential skills to work with relational databases. Topics include writing queries to retrieve, filter, and aggregate data, as well as managing database structures using concepts like joins, subqueries, and indexing. Participants will also learn how to analyze and manipulate large datasets efficiently, a critical skill for data science and AI applications.
Data Visualization
The Data Visualization module focuses on transforming complex datasets into clear and impactful visual representations. Participants will learn to use popular tools and libraries like Matplotlib, and Seaborn to create a variety of visualizations, including charts, graphs, and dashboards. The course emphasizes storytelling with data, enabling participants to communicate insights effectively and support data-driven decision-making.
Power BI
The Power BI module introduces participants to one of the most powerful business intelligence tools for creating interactive dashboards and reports. Students will learn how to connect to various data sources, transform and model data, and create visually compelling insights. The course also covers advanced features like DAX (Data Analysis Expressions) and sharing reports through the Power BI service, empowering participants to make data-driven decisions effectively.
Microsoft Azure and Azure Data Services
The Microsoft Azure and Azure Data Services module provides participants with a comprehensive understanding of cloud computing and its role in modern data science and AI workflows. The course covers essential Azure services such as Azure Machine Learning, Azure Data Factory, and Azure SQL Database. Participants will learn how to deploy, manage, and scale data solutions in the cloud, preparing them to work on real-world AI and data science projects effectively.
Machine Learning
The Machine Learning module introduces participants to the fundamentals of building predictive models using real-world datasets. The course covers key concepts such as supervised and unsupervised learning, model evaluation, and feature engineering. Participants will gain hands-on experience with popular machine learning libraries like scikit-learn and TensorFlow, enabling them to develop and deploy machine learning solutions for various applications.
Artificial intelligence
The AI module provides an in-depth understanding of artificial intelligence concepts and their practical applications. Participants will explore key areas such as Natural Language Processing (NLP) for text analysis and sentiment detection, and Computer Vision for image recognition and processing. The course includes hands-on experience with AI frameworks like TensorFlow, empowering participants to build and deploy intelligent systems for real-world challenges.
Capstone Project
The Capstone Project allows participants to apply the skills and knowledge gained throughout the bootcamp to a real-world problem. Students will work on a data-driven project that involves data collection, cleaning, modeling, and visualization, along with the integration of ML techniques. This hands-on project that they work as a team provides valuable experience in building end-to-end solutions and prepares participants for real-world challenges in the field of data science & AI.
Individual Career Planning
As part of the bootcamp, each participant will receive personalized career planning to guide their professional journey. This includes advice on obtaining relevant certifications, identifying strengths and areas for improvement, and building a tailored roadmap for career success. Additionally, experts will conduct sessions on key topics such as crafting a compelling CV and cover letter, navigating the job application process, and mastering interview techniques, ensuring participants are well-prepared for their career transitions.