About this course
This course is perfect for anyone who already has a basis in a technical field and wants to transition into an in-demand career in business intelligence or data analysis. Preference will be given to students from a computer science background.
The Data Analytics course is designed to address crucial challenges emerging today in the dynamically changing world of data and equips you with the most sought-after tools on the market. Upon completion of this course, you will be able to analyze large swathes of data with a view to driving key business decisions.
What you will learn in this course:
- Advanced-level database programming
- Data visualization best practices
- How to build and deploy dynamic dashboards
- Deep understanding of the data warehouse methodology and ETL support
- Leverage professional reporting tools such as PowerBI, Tableau
- Apply top-tier business analytics approaches to scale Tech projects
Module 1: Introduction and SQL Essentials
In this introductory module, you will explore the concept of data storage and learn to leverage the popular programming language SQL to extract, insert, and update information in database tables. You will also master a range of other SQL operations for storing and manipulating data such as combining it into several tables, grouping and sorting it by topic, and more.
Module 2: Advanced SQL, Data Integration, and Data Warehousing
Delve deeper into the world of SQL by studying its advanced features and apply this knowledge to build a working data warehouse application and configure seamless data integration processes. You will learn everything you need to know to create and maintain a comprehensive data storage facility that is “alive” and “breathing”.
Module 3: Reporting and Business Intelligence
Leveraging the infrastructure we created in the previous module, you will start extracting and visualizing data using popular reporting tools such as PowerBI, Tableau and others. Moreover, we will cover A/B Testing, Business Alerts, and a whole range of advanced business analytics methods.
Module 4: Capstone Project
You will get a chance to apply your new skills in practice and expand your portfolio by working on a real-world project for actual business clients. Reflecting a combination of both technical and soft skills acquired in the course, this comprehensive piece of work will be developed under the supervision of mentors and instructors who will also advise you on how to present it in the most optimal way to your customers.
Senior Software Developer, Luxoft Poland
Senior Machine Learning Engineer, Samsung Electronics
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