Nowadays, whether it is the Internet, finance or traditional manufacturing, everyone is calling for "people who lack data analysis" – but many people either have learned the tools but cannot implement them, or they do not have authoritative certificates to support their resumes, and they are always stuck if they want to enter the industry.
Halo International's "Data Analysis Elite Training Program" just hits these pain points: in 3 months, you can go from entry-level to a practical analyst required by the company, and you can also obtain a nationally recognized certificate, holding both skills and endorsements in hand.
1. Core of the plan: Cultivate enterprise-level practical data analysis talents in 3 months
This program focuses on "one-stop capability development", with the goal of allowing students to master the data analysis skills that companies urgently need within 3 months. It is also equipped with 30+ real project cases to restore business scenarios, helping students accumulate practical experience that can be written on their resumes, and directly adapt to workplace needs.
2. Certification certificate: nationally recognized “workplace hard endorsement”
The certificate is issued by the Talent Exchange Center of the Ministry of Industry and Information Technology and is one of the national strategic projects. The core advantages are very real:
Official authority can be checked: The certificate can be officially verified at the Talent Exchange Center of the Ministry of Industry and Information Technology, equipped with an exclusive certificate number, and simultaneously included in the industrial and information technology talent database.
In line with national policies: The certificate is one of the national strategic support projects and is highly consistent with the national high-paying enterprise talent evaluation policy. Enterprise recognition + subsidy adaptation: Enterprises have high recognition of this certificate. Different cities and enterprises will provide corresponding subsidies for certificate holders. Students can pay attention to relevant local and company policies.
Workplace advanced certificate: It is an effective proof of job ability for working in related positions, cross-professional/transferring to the field of data analysis, and is a necessary material for promotion and salary increase.
Improve job competitiveness: In the competition for the same position and the same conditions, the certificate holder has more prominent job advantages.
Valid for life without renewal: The certificate does not need to be renewed, and it is valid for life after passing the exam once.
3. Data analysis positions: large gaps, high salaries, and urgent needs in the entire industry
Now the "scent" of this position is obvious:
– The gap exceeds 2.3 million: The data analysis talent gap is expected to exceed 2.3 million in 2025, and it is common for companies to be unable to recruit people;
– Salary leader: The national average salary for data analysis positions is 18.1K, and the salary for those with more than 3 years of experience is more than 30K;
– Full industry coverage: There is demand in the Internet, finance, medical, education and other industries, and the positions are not limited to a single field;
– Fast promotion and high salary increase: Newcomers' salary is mostly 8K-12K, and they can be transferred to management positions later, and the salary increase is much higher than that of ordinary positions.
The course is suitable for people
Target people in positions related to employment data analysis: The job content is complicated and boring, the salary is low, and promotion and salary increases are difficult, and there is a risk of being laid off; those who want to break through career bottlenecks, break down development barriers, and achieve improvements in salary and career development through industry transformation.
Backbone elites in the workplace: They are frequently exposed to data in their daily work, but their own analytical skills are insufficient, resulting in low work efficiency and frequent overtime work; they lack business analytical thinking and are unable to accurately understand data problems and make reasonable suggestions for adjustments; they need to systematically improve their data analysis capabilities and enhance their job competitiveness, thereby achieving promotion and salary increases.
People who need the endorsement of high-value certificates to add points: When applying for jobs or changing jobs, their resumes have insufficient highlights, making it difficult to pass resume screening; some corporate employees need to rely on relevant certificates for promotions and salary increases; they hope to use high-value certificates to increase the advantages of their resumes, improve the interview pass rate, get high-paying offers, or help themselves to be promoted and raised.
4. 6-stage learning path: from entry to actual combat, proceed step by step without stepping into any pitfalls
The entire study is divided into 6 stages based on ability growth, and is gradually advanced from basics to actual practice:
The first stage: lay a solid foundation and master the necessary abilities
First understand the core concepts and ability requirements of data analysis, become familiar with business knowledge, and master the practical skills of Excel data processing and visualization to lay a solid foundation for entry.
Learning content (data analysis thinking and models):
· Multi-dimensional disassembly analysis method/correlation analysis method/group analysis method
· RFM analysis model/ARR model/DuPont analysis model
· Porter competitiveness model/SWOT analysis model/BCG matrix model
· SPACE matrix model/PEST analysis model/value chain model
The second stage: constructing analysis ideas
Learn thinking methods such as multi-dimensional dismantling and related analysis, master models such as SWOT, PEST, and Porter's competitiveness, and build an analytical logical framework that can be implemented.
Learning content:
Tableau data visualization:
· Tableau knowledge concepts & basic operations
· Advanced chart drawing
· Data calculation
· Advanced functions and visual presentation
· Project case practice
Python data analysis:
· Python basic knowledge and operation
· Use of Numpy basic functions
· Pandas data acquisition, processing and analysis
· Matplotlib visual design method and process
· Project case practice
MySQL database:
· MySQL Overview
· DDL/DML/DQL operations
· Comprehensive exercises/advanced operations/explanations of common interview questions
· Project case practice
The third stage: practical tools to improve analysis efficiency
Get started with Tableau visualization, Python data analysis, MySQL database operations and other tools, and use the tools in real scenarios through case exercises.
Learning content:
statistics:
·Basics of statistical theory
· Descriptive statistics and inferential statistics
· Sampling application/chi-square distribution/t distribution
Data mining:
· Basic understanding of data mining
· Feature engineering/KNN classification model
· Linear regression/logistic regression
· Clustering algorithm/SVM support vector machine/Naive Bayes
The fourth stage: advanced analysis to deal with complex scenarios
Supplement statistics and data mining knowledge, master clustering, classification and other algorithms, and learn to handle multi-dimensional and high-complexity business analysis needs.
Learning content (project practice):
Full-link project analysis practice
The fifth stage: Comprehensive actual combat and restore real business
Using real corporate projects as a carrier, complete the entire process analysis from data acquisition to conclusion output, and accumulate practical experience that can match workplace needs.
Project content:
· Analysis of user portraits of a certain fresh food platform
· Analysis of single product sales data of an e-commerce company
· Analysis of single volume data of a certain brand of electronic products
· Flight delay prediction analysis
· Alibaba Shiga merchant traffic analysis
· Airbnb short-term rental data analysis
· About Kuaishou user data
· ADX game advertising data analysis
Stage Six: Prepare for certification and obtain competency certificate
Sort out the test points, do mock test exercises, listen to pre-test guidance, and sprint in a targeted manner to help you successfully obtain the Ministry of Industry and Information Technology certification.
There is also an elective stage, which can expand skills such as Python crawler and PowerBI to adapt to the needs of more positions.
Learning content:
Halo question bank:
500+ questions related to the exam syllabus, brush the questions accurately and master the content of the exam syllabus
Halo Mock Exam:
Participate in Halo mock exams, check for gaps and improve missing knowledge
Live lectures before the exam:
Live lectures before the exam, master the key points of the exam, and successfully obtain the certificate
5. Learning Arrangement: Flexible adaptation, with someone to guide the whole process
– Course format: 50 hours of recorded lectures + 20 hours of live lectures + 15 hours of elective courses, you can learn in spare time;
– Learning rhythm: spend 8-10 hours a week, follow live broadcasts according to stages, and provide 100+ exercises to consolidate;
– Service guarantee: 3-month study period + 1-year course validity period, exclusive community Q&A is valid for a long time, and there is full-process support such as study plan formulation, homework guidance, and stage assessment.
6. Teachers and services: practical lecturers + step-by-step guidance
The lecturers are all practitioners in the industry (such as enterprise data directors and senior analysis experts), and they teach with real project experience; in the whole process from preview to exam preparation, they will help you set a study plan, send supporting materials, and provide practical guidance, so you don't have to worry about self-study.
Whether you want to switch to the field of data analysis, or you want to improve your skills and get a certificate to increase your salary, this plan can be regarded as a "precise entry point" – 3 months of systematic learning + real project practice + national recognition certificate. It can not only master the hard skills that can be implemented, but also get the endorsement of extra points in the workplace. It just matches the talent needs of the current enterprises, and it can be regarded as one of the "worry-free options" for getting started with data analysis.
