This is a series total of 10 Python class that include vaies of content, taken on 2021. Since this is done 2 year and more ago, I'm reviewing them right now.
Below is the course list:
Notes: Some course's complete syllabus are not updated yet.
Content: Cover data operations, conditional judgment, loops, functions, classes, and objects.
Complete Course Syllabus&Content(Non-English):
Content: Introductory course covers NumPy, Pandas, data cleansing, data visualization, grouping, union, resample data, and other basic knowledge, whole analysis class is based on Python.
Brief Syllabus:
| Lesson Number | Topic |
|---|---|
| Lesson 1 | Step of Data Analysis |
| Lessons 2-11 | NumPy and Pandas Basics |
| Lessons 12-14 | Data Cleaning |
| Lessons 15-18 | Data Visualization Basic |
| Lessons 19-20 | Descriptive Analysis |
| Lessons 21-23 | Grouping and Aggregation |
| Lessons 24-25 | Union and Merge |
Complete Course Syllabus&Content(Non-English):
Note: This course only have non-translatable file.
Projects: Data cleaning, explore Avocado data and Batch visualization.
Content: Includes intelligent recommendation (RFM model), association rules, regression analysis, etc.
Brief Syllabus:
| Lesson Number | Topic |
|---|---|
| Lesson 1 | Data Analysis (Fundamental) Review |
| Lessons 2-6 | Artificial Intelligence Recommendation (Collaborative Filtering) |
| Lessons 7-9 | Association Analysis (Apriori Algorithm) |
| Lessons 10-12 | Discretization and Data Binning (R,F,M) |
| Lesson 13 | Introduction to Machine Learning |
| Lessons 14-16 | Linear Regression Analysis |
| Lessons 17-19 | Decision Trees |
| Lesson 20 | Cluster Analysis (K-Mean) |
| Lessons 21-22 | Basics of Quantitative Trading |
| Lessons 23-25 | Timing Strategy |
Complete Course Syllabus&Content(Non-English):
Note: This course only have non-translatable file.
Projects: RFM user stratification, simple Mean Prediction and Moving Mean Prediction for predicting the number of commuters and defaulted companies.
Content: Covers basic lookups, aggregation, statistics, multi-table processing, and Python interactions.
Brief Syllabus:
| Lesson Number | Topic |
|---|---|
| Lessons 1-5 | Basic Searching |
| Lessons 6-9 | Aggregate Statistics |
| Lessons 10-16 | Multi-table Processing |
| Lessons 17-21 | Python Interaction |
| Lessons 22-25 | Comprehensive Application in Practice |
Complete Course Syllabus&Content(Non-English):
Note: This course has online file that translatable.
Projects: Red Packet Collection Analysis using SQL.
Content: Covers comparison and trend, composition and difference, part and whole, location, and density.
Brief Syllabus:
| Lesson Number | Topic |
|---|---|
| Lesson 1 | Process and Thought |
| Lessons 2-5 | Comparison and Trends |
| Lessons 6-7 | Composition and Differences |
| Lessons 8-10 | Part and Whole |
| Lessons 11-14 | Position and Density |
| Lessons 15-17 | Distribution and Circulation |
| Lessons 18-23 | Connection and Correlation |
| Lessons 24-25 | Summary and Extension |
Complete Course Syllabus&Content(Non-English):
Note: This course has online file that translatable.
Projects: Create dashboard including pie charts, rose charts, histograms, heat maps, horizontal bar charts, distribution maps, radar charts, and relationship graphs.
Content: Covers natural language processing, image recognition, face recognition, text recognition, speech recognition (using API).
Brief Syllabus:
| Lesson Number | Topic |
|---|---|
| Lesson 1 | Introduction to Artificial Intelligence |
| Lessons 2-6 | Natural Language Processing |
| Lessons 7-10 | Image Recognition |
| Lessons 11-14 | Face Recognition |
| Lessons 15-16 | Text Recognition |
| Lessons 17-22 | Speech Recognition |
| Lesson 23 | Speech Synthesis |
| Lessons 24-25 | API Use Tutorial |
Complete Course Syllabus&Content(Non-English):
Note: This course has online file that translatable.
Projects: Face detection in images, mask detection by using API.
Content: Covers web page requests and parsing, text crawling, image crawling, anti-crawling strategies.
Complete Course Syllabus&Content(Non-English):
Note: This course has online file that translatable.
Brief Syllabus:
| Lesson Number | Topics |
|---|---|
| Lesson 1-4 | Basics of Web Scraping |
| Lesson 5-7 | Scraping Movie Reviews |
| Lesson 8-10 | Bulk Image Retrieval |
| Lesson 11-13 | Retrieving Video Site Comments |
| Lesson 14-16 | Filtering Job Postings |
| Lesson 17-20 | Scraping Product Information |
| Lesson 21-24 | Daily Report Push |
| Lesson 25 | Conclusion |
Projects: Property listing analysis using crawler technology.
Content: HTML basics, CSS basics, content grouping, layout and advanced
Complete Course Syllabus&Content(Non-English):
Note: This course has online file that translatable.
Brief Syllabus:
| Lesson Number | Topics |
|---|---|
| Lesson 1 | Entering the Web World |
| Lesson 2-4 | Basics of HTML |
| Lesson 5-6 | Basics of CSS |
| Lesson 7-12 | Content Grouping |
| Lesson 13-16 | Typesetting and Layout |
| Lesson 17-22 | Advanced Typesetting and Layout |
| Lesson 23-25 | Project Practicum |
Projects: Draw a doraemon.
Content: Covers QR code tools, drawing tools, PPT tools, design tools, expression tools, translation tools, automatic tools
Complete Course Syllabus&Content(Non-English):
Brief Syllabus:
| Lesson Number | Topics |
|---|---|
| Lesson 1-2 | First Text Game |
| Lesson 3-5 | QR Code Tool |
| Lesson 6-8 | Drawing Tool |
| Lesson 9-11 | PPT Tool |
| Lesson 12-14 | Design Tool |
| Lesson 15-17 | Confession Tool |
| Lesson 18-20 | Translation Tool |
| Lesson 21-23 | Automation Tool |
| Lesson 24-25 | Design Own Tool |
Note: This course has online file that translatable.
Projects: Randomly selects a lucky person in the group photo.
Content: Covers automatic classification of files, reading and classifying photo information, reading and writing Excel, Word, PDF documents, comprehensive office applications
Brief Syllabus:
| Lesson Number | Topics |
|---|---|
| Lesson 1-4 | Automatic File Classification |
| Lesson 5-6 | Reading and Classifying Photos |
| Lesson 7-9 | Reading Excel Documents |
| Lesson 10-12 | Writing Excel Documents |
| Lesson 13-16 | Reading Word Documents |
| Lesson 17-19 | Writing Word Documents |
| Lesson 20-22 | Reading PDF Documents |
| Lesson 23-24 | Integrated Office Applications |
| Lesson 25 | Practical Application |
Complete Course Syllabus&Content(Non-English):
Note: This course only have non-translatable file.
Projects: Read into a folder include Word, excel and pdf file, find phone number and add to list.
For more details about the projects in each course, please see the respective folders.
This course is taken at Baicizhan.
For more information, please go to np.baicizhan.com (Non-English Site).