Udemy - Data Science in Marketing An Introduction Course 2021
- CategoryOther
- TypeTutorials
- LanguageEnglish
- Total size4.4 GB
- Uploaded Byfreecoursewb
- Downloads84
- Last checkedOct. 20th '21
- Date uploadedOct. 18th '21
- Seeders 17
- Leechers16
Data Science in Marketing An Introduction Course 2021 
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 58 lectures (10h 37m) | Size: 3.62 GB
Use Python to solve problems in Retail, Marketing, Product Recommendation, Customer Clustering
What you'll learn:
Pandas
JSON
Handling missing data
Decision Tree
Collaborative filtering
Data Cleanup
Linear Regression Model
Evaluating model Performance
K-means
Analyzing Customer lifetime value
Product analytics
Product Recommendation system
Interpreting customer segments
Analyzing and visualizing KPI
Requirements
Solid Python knowledge is important
Description
Welcome to the Data Science in Marketing: An Introduction Course 2021
This course teaches you how Data Science & Deep Learning can be used to solve real-world business problems and how you can apply these techniques to solve real-world case studies.
https://FreeCourseWeb.com
Files:
[ FreeCourseWeb.com ] Udemy - Data Science in Marketing An Introduction Course 2021- Get Bonus Downloads Here.url (0.2 KB) ~Get Your Files Here ! 1. Introduction
- 1. Course structure.mp4 (11.5 MB)
- 1. Course structure.srt (1.7 KB)
- 10. Applying Data Transformation.mp4 (56.4 MB)
- 10. Applying Data Transformation.srt (5.6 KB)
- 10.1 Applying_Data_Transformation.ipynb (17.0 KB)
- 2. How To Make The Most Out Of This Course.mp4 (8.2 MB)
- 2. How To Make The Most Out Of This Course.srt (2.4 KB)
- 3. Important note on tool.mp4 (5.1 MB)
- 3. Important note on tool.srt (1.7 KB)
- 4. Introduction to Data Models and Structured Data.mp4 (88.8 MB)
- 4. Introduction to Data Models and Structured Data.srt (9.5 KB)
- 5. Introduction to Pandas.mp4 (61.1 MB)
- 5. Introduction to Pandas.srt (8.5 KB)
- 6. Importing JSON Files into pandas.mp4 (38.7 MB)
- 6. Importing JSON Files into pandas.srt (4.3 KB)
- 6.1 Importing_JSON_Files_into_pandas.ipynb (14.8 KB)
- 7. Identifying Semi-Structured and Unstructured Data.mp4 (86.4 MB)
- 7. Identifying Semi-Structured and Unstructured Data.srt (8.3 KB)
- 7.1 Identifying_Semi_Structured_and_Unstructured_Data.ipynb (24.4 KB)
- 8. Creating and Modifying Test Dataframes.mp4 (104.6 MB)
- 8. Creating and Modifying Test Dataframes.srt (10.3 KB)
- 8.1 Creating_and_modifying_Test_dataframes.ipynb (29.2 KB)
- 9. Combining DataFrame and Handling Missing Values.mp4 (58.7 MB)
- 9. Combining DataFrame and Handling Missing Values.srt (6.3 KB)
- 9.1 Combining_DataFrames_and_Handling_Missing_Values.ipynb (13.4 KB) Marketing_Course_With_Data_Science_Part1
- data.csv (1.0 KB)
- sales.xlsx (10.6 MB)
- user_info.json (8.2 KB)
- 1. Data Science and Marketing.mp4 (182.9 MB)
- 1. Data Science and Marketing.srt (21.1 KB)
- 2. Introduction to Key Performance Indicators and Visualizations.mp4 (92.9 MB)
- 2. Introduction to Key Performance Indicators and Visualizations.srt (11.7 KB)
- 3. Computing and visualizing KPIs.mp4 (46.3 MB)
- 3. Computing and visualizing KPIs.srt (4.4 KB)
- 3.1 bank-additional-full.csv (5.6 MB)
- 4. Aggregate conversion rate.mp4 (39.6 MB)
- 4. Aggregate conversion rate.srt (3.3 KB)
- 4.1 Computing_and_visualizing_KPIs.ipynb (13.4 KB)
- 5. Conversion rates by age.mp4 (118.6 MB)
- 5. Conversion rates by age.srt (11.5 KB)
- 5.1 Computing_and_visualizing_KPIs (1).ipynb (82.8 KB)
- 6. Conversion vs non-conversion.mp4 (88.4 MB)
- 6. Conversion vs non-conversion.srt (7.3 KB)
- 6.1 Computing_and_visualizing_KPIs (2).ipynb (132.5 KB)
- 7. Conversions by age and marital status.mp4 (64.4 MB)
- 7. Conversions by age and marital status.srt (6.0 KB)
- 7.1 Computing_and_visualizing_KPIs (3).ipynb (183.4 KB)
- 8. Summary of the section.mp4 (17.2 MB)
- 8. Summary of the section.srt (2.3 KB)
- 1. Introduction.mp4 (63.6 MB)
- 1. Introduction.srt (8.2 KB)
- 10. Interpreting Decision Tree.mp4 (48.8 MB)
- 10. Interpreting Decision Tree.srt (6.2 KB)
- 11. Summary of the project.mp4 (15.9 MB)
- 11. Summary of the project.srt (2.6 KB)
- 2. Decision trees and interpretations.mp4 (78.7 MB)
- 2. Decision trees and interpretations.srt (8.5 KB)
- 2.2 From_Engagement_to_Conversions.ipynb (16.3 KB)
- 3. Conversion rates by job.mp4 (66.6 MB)
- 3. Conversion rates by job.srt (6.6 KB)
- 3.1 From_Engagement_to_Conversions (1).ipynb (41.2 KB)
- 4. Default Rates by Conversions.mp4 (53.7 MB)
- 4. Default Rates by Conversions.srt (5.4 KB)
- 4.1 From_Engagement_to_Conversions (2).ipynb (70.7 KB)
- 5. Bank balances by conversions and Conversion rates by number of contacts.mp4 (85.1 MB)
- 5. Bank balances by conversions and Conversion rates by number of contacts.srt (8.4 KB)
- 5.1 From_Engagement_to_Conversions (3).ipynb (143.8 KB)
- 6. Encoding Months.mp4 (43.8 MB)
- 6. Encoding Months.srt (4.8 KB)
- 6.1 From_Engagement_to_Conversions (4).ipynb (148.0 KB)
- 7. Encoding Jobs.mp4 (56.3 MB)
- 7. Encoding Jobs.srt (5.6 KB)
- 7.1 From_Engagement_to_Conversions (5).ipynb (165.3 KB)
- 8. Encoding marital and the housing and loan variables.mp4 (66.9 MB)
- 8. Encoding marital and the housing and loan variables.srt (6.1 KB)
- 8.1 From_Engagement_to_Conversions (6).ipynb (191.1 KB)
- 9. Building decision trees.mp4 (111.6 MB)
- 9. Building decision trees.srt (10.1 KB)
- 9.1 From_Engagement_to_Conversions (7).ipynb (241.4 KB)
- bank-full.csv (4.4 MB)
- bank-names.txt (3.8 KB)
- bank.csv (450.7 KB)
- 1. Introduction.mp4 (63.4 MB)
- 1. Introduction.srt (7.6 KB)
- 2. Product analytics Implementation Part 1.mp4 (177.1 MB)
- 2. Product analytics Implementation Part 1.srt (17.1 KB)
- 2.1 Online Retail.xlsx (22.6 MB)
- 3. Product analytics Implementation Part 2.mp4 (99.9 MB)
- 3. Product analytics Implementation Part 2.srt (8.8 KB)
- 3.1 Product_Analytics_Implementation.ipynb (139.8 KB)
- 4. Repeat customers Implementation.mp4 (113.8 MB)
- 4. Repeat customers Implementation.srt (9.4 KB)
- 5. Repeat customers Implementation Part 2.mp4 (124.1 MB)
- 5. Repeat customers Implementation Part 2.srt (11.8 KB)
- 5.1 Product_Analytics_Implementation.ipynb (255.2 KB)
- 6. Trending Items over time.mp4 (96.2 MB)
- 6. Trending Items over time.srt (7.8 KB)
- 6.1 Product_Analytics_Implementation.ipynb (255.2 KB)
- 7. Trending Items over time Implementation.mp4 (56.4 MB)
- 7. Trending Items over time Implementation.srt (5.3 KB)
- 8. Analysing Results.mp4 (30.1 MB)
- 8. Analysing Results.srt (3.6 KB)<
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