Course Data Analytics
SQL, Python, Tableau, Power BI
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- 6 months
- 250 hours
Mon, Wed, Fri: 19:00 - 22:00
About this course
This course is very suitable for anyone who has technical base knowledge and is working on professional development in the field of business analytics, data analysis. Preference will be given to students familiar with computer science. The Data Analytics course is integrated into the modern world of data analysis and fully prepares the student for market challenges for the next 5 years. Everyone who successfully completes the program will receive the necessary tools to enter the world of information technology. As a professional in the field of business analytics, he will be able to analyze a large amount of data and apply their results in business.
What you will learn in this course:
- Advanced knowledge in database programming
- Will be able to model, combine and define the form of data presentation
- Will know how to use tools for building and applying dynamic dashboards
- Deep understanding of data warehouse methodology and ETL support
- Knowledge of professional reporting approaches PowerBI, Tableau, etc
- All the necessary skills and knowledge of Business Analytics for their successful implementation in modern Tech projects
Module 1: Introduction and SQL basics
The 1st module introduces us to the concept of databases and the popular language SQL.
Using SQL, we will learn how to extract, insert and update data in database tables. Students will also learn to combine data into several tables, sort and group them by topic.
At the end of the introductory module, the student will learn how to store data and manipulate it using SQL at will.
Module 2: Advanced SQL, Data Integration and Data Warehousing
We will delve into the world of SQL, study its advanced features and apply this knowledge to build data integration processes, as well as to create our data warehouse application. To create an app, we also consider SQL functions, procedures, and various analytic functions as analytic tools.
After completing the module, each student will be able to create and maintain “alive”, “breathing” and comprehensive application for storing data.
Module 3: Reporting and Business Intelligence
Using the infrastructure created in the previous module, we will learn how to extract and visualize data using the reporting tools PowerBI, Tableau, etc.
More advanced analytical methods will also be studied:
- Data modeling: A/B testing, Business alerts
- Advanced functions of reporting tools.
Module 4: Final Project
Combining gained knowledge during 3 modules, each student will create and present the final project based on the business customer requirements (announced in advance).
The final project will reflect both technical and personal skills that a student has acquired on the course.
During the preparation for the final defense, teachers and mentors will work with students to help not only present the project correctly but also will give hints and instructions on how to make a presentation of the results in plain language.
Senior Software Developer, Luxoft Poland
Senior Machine Learning Engineer, Samsung Electronics
Get our best offer by paying for the entire course in one instalment as you enrol.
Cover half of the course cost as you start and the other half after you complete your final project.
Pay a fixed monthly amount during the full run of your training.
Learn Now - Pay Later
Start repaying your course fees only after you’ve found employment.
Do you have questions about the programme?
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