Total Duration:
12 Hours
Course level:
Beginner
Delivery Method:
Instructor-led Virtual Classes
Certification:
Certificate of Completion will be provided after completing the course
Course Overview
This course comprehensively introduces the key statistical concepts and techniques essential for data analytics. It is designed for individuals looking to build a statistics foundation, focusing on practical applications in data-driven decision-making. Throughout the course, students will learn to apply statistical methods to real-world data, interpret the results, and use these insights to inform business decisions. We highly recommend this course to the students before starting our "Data Science with Python" and the "AI and Machine Learning with Python" courses.
Following topics are included in this course:
- Introduction to Flask
- Routing and URL building
- Flask templates and Jinja2 basics
- Flask Blueprints for modular applications
- Defining database models using SQLAlchemy
- CRUD operations with SQLAlchemy
- Flask-Login and LoginManager for user authentication
- Securing routes with login_required decorator
- Using Werkzeug.security for password hashing and verification
- Creating RESTful APIs using Flask
- Deploying Flask Applications
You may also complete the following course(s) before attending the Statistics for Data Analytics course but they are not mandatory:
Course Dates, Prices & Enrolment
All Training
Physical Classes
Virtual Classes
Time Zone:
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