BOOTCAMPS
Data & Business Analytics
The Data & Business Analytics Bootcamp is designed to provide you with the tools and techniques needed to turn data into actionable insights. Learn how to collect, clean, and interpret data to make informed decisions that impact business strategies. This program focuses on key concepts like data visualization, statistical analysis, and reporting to prepare you for real-world challenges in analytics.
Throughout the course, you’ll work with industry-standard tools like Python, SQL, Power BI, Excel, and Azure data tools to analyze data, track KPIs, and present your findings effectively. With hands-on projects and case studies, you’ll gain practical experience in solving business problems using data and performing data analysis in cloud environments. Whether you’re new to analytics or looking to upskill, this bootcamp is tailored to meet your career goals and equip you with the skills demanded by the industry.
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 data analysis, visualization, and business strategy.
- Hands-On Projects – Solve real-world business problems using data.
- Microsoft Azure – Solve problems easily with cloud computing, an indispensable technology today.
- Industry Tools – Master tools like Excel, SQL, Power BI, and Python.
- Data-Driven Insights – Learn to interpret and communicate data effectively.
- Expert Instructors – Gain knowledge from experienced analytics professionals.
- Career-Ready Skills – Build a portfolio to showcase your expertise to employers.
- Flexible Learning – Designed to fit your schedule and pace.
Course Lessons
Introduction to Data & Business Analytics
Begin your journey into Data & Business Analytics with a comprehensive introduction to its foundations and significance in the modern business world. This lesson will explore the critical role of data in driving decision-making, the lifecycle of a data analytics project from data collection to actionable insights, and an overview of the essential tools and techniques you’ll master throughout the bootcamp, including Python, SQL, Power BI, and Azure data services. You’ll also delve into key concepts such as tracking and analyzing KPIs and understanding the impact of analytics in cloud environments. By the end of this lesson, you’ll have a solid foundation in what it takes to become a successful data analyst or business analyst and how to approach real-world business challenges using data.
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 the fundamentals of Python programming, equipping them with the skills needed for data and business analytics applications. The course covers essential programming topics such as data types, loops, conditional statements, functions, and file handling, ensuring a strong programming foundation. Participants will also dive into powerful Python libraries like NumPy and Pandas for efficient data manipulation, and Matplotlib and Seaborn for creating insightful visualizations.
Additionally, this module emphasizes real-world applications, including working with datasets, automating repetitive tasks, and generating business reports. By the end of the module, participants will not only master Python for data analytics but also gain the confidence to use it alongside industry-standard tools and techniques to tackle complex business challenges effectively.
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 & business analytics 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 & business analytics 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 data 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, and model evaluation. Participants will gain hands-on experience with popular machine learning libraries like scikit-learn, enabling them to develop and deploy machine learning solutions for various applications.
Excel
The Excel module equips participants with the skills to leverage Excel as a powerful tool for data analysis and business decision-making. This course covers essential Excel functionalities, including data cleaning, sorting, filtering, and pivot tables for summarizing large datasets. Participants will also learn to create dynamic charts and dashboards to effectively visualize data insights. Advanced topics such as functions (VLOOKUP, HLOOKUP, INDEX, MATCH), conditional formatting, and basic macros are introduced to enhance efficiency and productivity. By the end of the module, participants will have a strong command of Excel, enabling them to analyze and present data confidently in a business context.
Capstone Project
The Capstone Project allows participants to apply the skills and knowledge gained throughout the Data & Business Analytics Bootcamp to a real-world business problem. Students will work on a comprehensive, data-driven project that involves data collection, cleaning, analysis, and visualization to generate actionable insights. The project will emphasize solving a real-world business challenge, including tasks such as building dashboards, tracking KPIs, and presenting data-driven recommendations. This hands-on, team-based experience provides participants with the opportunity to integrate tools like Python, SQL, Power BI, and Excel and develop practical solutions. By the end of the Capstone Project, students will gain valuable experience in creating end-to-end analytics solutions, preparing them to tackle real-world challenges in data and business analytics confidently.
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.