Complete Data Science Course
4.0
(3)
23 learners
What you'll learn
This course includes
- 26.5 hours of video
- Certificate of completion
- Access on mobile and TV
Course content
1 modules • 27 lessons • 26.5 hours of video
Complete Data Science Course
27 lessons
• 26.5 hours
Complete Data Science Course
27 lessons
• 26.5 hours
- π Duck Creek Introduction & View Model Framework Explained | Beginner Guide 43:57
- π Real-Time Dataset Examples in Data Science | Practical Use Cases Explained 01:31:53
- π Real-Time Dataset Examples in Data Science | Practical Use Cases Explained 55:27
- π Dataset & Pandas in Data Science | Data Handling with Python Pandas 56:06
- π Statistics Data Methods in Data Science | Complete Beginner-Friendly Explanation 42:33
- π Data Science Methods Explained | Techniques & Approaches for Data Analysis 48:03
- π Pandas in Data Science Explained | Python Pandas Tutorial for Beginners 47:49
- Pandas in Data Science Explained | Python Pandas Tutorial for Beginners 58:44
- Descriptive Statistics Explained: The Backbone of Data Science Analysis 52:39
- π Descriptive Statistics in Data Science | Mean, Median, Mode, Variance & More 52:39
- Standard Deviation in Data Science | Easy Explanation with Examples 49:46
- π Dataset in Data Science | Definition, Types & Real-Time Examples 01:24:03
- π Statistics in Data Science | Complete Beginner-Friendly Guide & Easy Explanation 55:03
- Modular Distribution in Python | Data Science Explanation with Practical Examples 49:27
- Python Introduction to Data Science | Complete Beginner-Friendly Tutorial 44:39
- π€π Machine Learning in Data Science | Complete Beginner-Friendly Explanation 54:21
- ACTE Technologies | Job Oriented Training With Placements in Chennai & Bangalore 01:04:59
- Cluster Sampling in Data Science | Simple Explanation with Real Examples 56:48
- Mastering Numeric Data Types in Data Science | Beginner to Pro Explained 38:24
- π Graphic Techniques in Data Science | Data Visualization Explained for Beginners 01:14:57
- π Skewness in Data Science | Understanding Data Distribution for Beginners 01:40:44
- π Variables in Python | Data Science Practical Session Explained 01:50:47
- π€ Variables in Python for Data Science | Python Basics for Beginners 01:46:48
- π Data Science β Importing Libraries in Python | Learn Data Science Basics 57:13
- Python for Data Science Made Easy | Start Learning from Scratch! 56:27
- π§ YouTube Description: Oracle Workflow Troubleshooting and Debugging 15:38
- π Data Science Introduction | What is Data Science? |a Learn Data Science for Beginners 45:50
