【AI Launch Plan】Master Data Analysis & AI Thinking from Zero

📊 Master programming and data analysis from scratch, systematically build AI data science skill map

🎯 Designed specifically for zero-foundation/non-CS major career changers! Systematically master Python + data analysis + AI preliminary modeling, 12-week complete learning path, 1 independent project + 1 team project, helping career transition to AI data field.

12 weeks
Small class of 10 Students
4.9 Rating
Enroll Now - ¥6,999Free Demo

Course Information

Difficulty Level:Beginner
Language:Chinese instruction | English materials optional
Format:Weekly online small class (2 hours) + self-study practice (6 hours) + Q&A
Duration:12 weeks

Course Objectives

Master Python programming and data structures, proficiently use Pandas/Numpy
Excel in data visualization and EDA exploratory analysis techniques
Proficiently use SQL for data extraction, cleaning, and multi-table analysis
Understand supervised/unsupervised learning, master model evaluation and tuning
Complete practical projects like user behavior analysis systems
Build GitHub portfolio, gain job-seeking competitive advantage

Prerequisites

No programming background required, beginner-friendly
Invest 8 hours of study time per week (2h class + 6h self-study)
Have learning enthusiasm and career change determination
Prepare a computer with internet access

Course Schedule

1

Python Basic Syntax Introduction

  • Variables and data types
  • Lists/dictionaries/sets/tuples
  • Control structures (if/for/while)
  • Function basics and module imports
2

Numpy & Pandas Data Processing

  • Numpy array operations and calculations
  • Pandas data structure detailed explanation
  • Data import/export techniques
  • Data cleaning (missing values/format processing)
3

Data Visualization and EDA

  • Matplotlib & Seaborn chart creation
  • Exploratory Data Analysis (EDA)
  • Chart beautification techniques
  • Data storytelling
Practice Project: 📈 Stock data visualization report
4

SQL Basic Syntax

  • Database basic concepts
  • SELECT statements and conditional queries
  • WHERE/ORDER/GROUP BY
  • JOIN connections and multi-table analysis
5

Data Preprocessing and Cleaning

  • Missing value imputation strategies
  • Duplicate data processing
  • Outlier detection and processing
  • Feature scaling (standardization/normalization)
6

Statistical Analysis Basics

  • Descriptive statistical indicators
  • Hypothesis testing principles
  • Correlation analysis techniques
  • Simple linear regression models
7

Supervised Learning Introduction

  • Machine learning process introduction
  • Sklearn framework usage
  • Linear regression and KNN algorithms
  • Logistic regression and classification evaluation
8

Unsupervised Learning Introduction

  • K-means clustering algorithm
  • Hierarchical clustering methods
  • PCA dimensionality reduction technology
  • Feature selection strategies
9

Time Series Analysis

  • Time format processing techniques
  • Trend/seasonality decomposition
  • Moving average methods
  • Simple prediction model construction
10

AI Model Application Practice

  • Decision tree algorithm principles
  • Random forest ensemble learning
  • Model tuning techniques
  • Cross-validation and model evaluation
11

Project Development Practice

  • Project topic selection and planning
  • Data source finding and acquisition
  • Complete modeling process implementation
  • Result analysis and visualization display
12

Project Release + Job Preparation

  • GitHub project submission standards
  • Project documentation writing
  • Resume optimization suggestions
  • Mock interview and project explanation techniques

Individual Projects

🛒 User Behavior Analysis System

Based on public e-commerce data (Kaggle/OpenML), analyze user activity, purchasing behavior, and recommendation strategies, completing the entire data analysis process

Skill Requirements:

Python programmingPandas data processingSeaborn visualizationSklearn modelingEDA analysisReport writing

Deliverables:

  • Deliverable PDF analysis report
  • Interactive charts (Jupyter Notebook)
  • Complete GitHub code and project documentation
  • Resume-ready project experience template

Team Project

🤖 SQL + AI Analysis Report Generator

Team collaboration to complete a SQL+AI integrated intelligent data analysis report generator system, using real data (online store sales/online education/urban transportation, etc.)

Skill Requirements:

SQL data extractionPython analysis modelingData visualizationTeam collaborationJinja2 templatesProject management

Deliverables:

  • Project achievement presentation PPT (or Web report)
  • Detailed collaboration records
  • Team GitHub project repository
  • Automated report generation process

Achievements

✅ Complete 1 independent project + 1 team collaboration project
🛠️ Master 3 major data processing tools: Python/Pandas/SQL
🤖 Master 2 modeling methods: supervised learning/unsupervised learning
📊 Master complete data analysis process: from data acquisition to result presentation
💼 Project achievements can be used for resume and GitHub portfolio showcase
📜 Obtain "Data Science Basic Capability Certificate" + project recommendation

Certificate

【AI Launch Plan】Master Data Analysis & AI Thinking from Zero

Congratulations on completing the 12-week 【AI Launch Plan】Master Data Analysis & AI Thinking from Zero course, independently completing project practice, and possessing basic skills for data analysis positions

Certificate Skills:

Python programmingSQL databaseData visualizationMachine learning basicsProject practical experience

Course Consultation

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