Data Analysis Course
Hanoi University of Science and Technology
Upgrade your professional skills and advance your career with the Data Analysis training program offered by Hanoi University of Science and Technology in collaboration with Rikkei Education.
Introduction
DURATION
4.5 months
TARGET STUDENTS
Beginners
FORMAT
Offline
The Data Analysis training program is taught by the University of Engineering and Technology, Hanoi, suitable even for beginners, providing knowledge and skills to help you become proficient in data analysis in business, serving your job or career development
Why should you choose Rikkei Education to start?
The training program is developed by two reputable institutions, the University of Engineering and Technology, Hanoi, and Rikkeisoft, helping you fully prepare with knowledge and skills in data analysis to confidently work in businesses.
Certificate with University Seal
Receive a Data Analysis certification from the Hanoi University of Science and Technology, recognized for its quality by many businesses and partners.
Learn with leading experts
Directly taught by professors from the University of Engineering and Technology, Hanoi – who are leading experts in the field of Data.
Modern facilities
100% on-site learning at the Hanoi University of Science and Technology, with direct interaction and support from professors and mentors.
Exclusive learning materials
Exclusive learning materials from the University of Engineering and Technology, Hanoi
Exclusive workshops
Participate in monthly professional workshops with real-world problem-solving at businesses from the start of the course.
Internship at businesses
Commitment to internships at businesses, practical application of knowledge and skills to be confident in employment.
This course is suitable if you…
Want to expand your skills
Want to upgrade your professional skills and become outstanding personnel in a business, a steppingstone for future advancement
Want to become a Data Analyst
Stay ahead of the trend and start a career as a Data Analyst with a starting salary of up to 8 figures
Learning roadmap
Module 01: Overview of data analysis and basic tools - 15 hours
Build a foundation of basic knowledge about data analysis, familiarize yourself with basic tools and analysis processes, develop skills in creating dashboards and managing data.
Tổng quan về phân tích dữ liệu & Các Data Tab cơ bản |
Tổng quan cơ sở dữ liệu – Ngôn ngữ SQL |
Truy vấn dữ liệu với các hàm SQL |
Xây dựng kho dữ liệu, kết nối & khai thác – Kiến trúc kho dữ liệu – Kết nối CSDL với Excel, Power BI |
Khối dữ liệu OLAP và các thao tác & Quy trình ETL dữ liệu |
Tư duy xây dựng dashboard & Quản trị dữ liệu |
Tư duy phân tích Insight & Quản trị dữ liệu |
Project thực tế trong các lĩnh vực kinh tế |
Project xử lý dữ liệu Power Query & Xây dựng Dashboard |
Project xây dựng Dashboard trên Google Data Studio |
Module 02: Business data analysis with Power BI - 20 hours
Focus on knowledge and skills in using the Power BI tool to perform data analysis operations such as cleaning, creating data models,... building analytical reports in specific fields.
Tổng Quan Về Dữ Liệu Và Phân Tích Kinh Doanh |
Quy Trình Triển Khai Dự Án Phân Tích Dữ Liệu |
Thống Kê Ứng Dụng Trong Phân Tích Dữ Liệu Kinh Doanh |
Giới thiệu công cụ nhập liệu và chuyển đổi/ làm sạch dữ liệu với Power Query, Power BI |
Mô hình tổ chức dữ liệu và công cụ DAX 1 |
Mô hình tổ chức dữ liệu và công cụ DAX 2 |
Kỹ thuật trực quan hóa dữ liệu với Power BI 1 |
Nguyên tắc trình bày báo cáo phân tích dữ liệu |
Thực hành phân tích theo lĩnh vực công việc: BO, Fintech và Thương mại điện tử |
Module 03: Data analysis with Python - 25 hours
Focus on knowledge and skills in using the Python for efficient data analysis such as processing, visualization, exploration, applying basic machine learning models... to achieve accurate and effective analytical results.
Cơ bản về Python |
Toán tử, lệnh rẽ nhánh, và vòng lặp |
Hàm |
Đọc dữ liệu từ file Excel |
Ghi dữ liệu ra file Excel |
Xử lý dữ liệu dạng bảng với Pandas |
Trực quan hóa dữ liệu với Matplotlib |
Trực quan hóa dữ liệu với Seaborn |
Xử lý ngoại lai và kỹ thuật khám phá phân tích dữ liệu |
Module 04: Applying Artificial Intelligence (AI) in data analysis - 12 hours
Focus on knowledge and skills to apply Artificial Intelligence (AI) in data analysis for forecasting, data processing, fraud detection,... through real-world problem-solving.
Tổng quan về trí tuệ nhân tạo |
Ứng dụng AI trong dự báo, dự đoán |
Ứng dụng AI trong dự báo, dự đoán |
Phát hiện gian lận tài chính |
Thực hành ứng dụng: dự báo nhu cầu trong TMĐT, …. |
Dedicated instructors and mentors for support
Mentors closely monitor and assist students in completing all tasks, providing quick feedback.
Hands-on experience during the learning process
All students will have experience with real-world problems and possess at least 01 project before graduation.
Job placement assistance after completing the course
We will accompany students, support job placement within a network of 500+ partners
Support for students even after graduation
Long-term professional support to help students have a stable career.
Learn With Data Industry Experts From Hanoi University of Science and Technology
Our team of instructors from the Hanoi University of Science and Technology brings not only extensive training experience but also career guidance for you in solving real-world work issues
PhD. Ban Ha Bang
Instructor
MSc. Nguyen Danh Tu
Instructor
PhD.Trinh Tuan Dat
Instructor
PhD.Nguyen Thi Ngoc Anh
Instructor