Data Mining with Python in 45 minutes
- Offered byGreat Learning
Data Mining with Python in 45 minutes at Great Learning Overview
Data Mining with Python in 45 minutes
at Great Learning
Duration | 1 hour |
Total fee | Free |
Mode of learning | Online |
Difficulty level | Beginner |
Official Website | Explore Free Course |
Credential | Certificate |
Data Mining with Python in 45 minutes at Great Learning Highlights
Data Mining with Python in 45 minutes
at Great Learning
- Earn a certificate of completion from Great Learning
Data Mining with Python in 45 minutes at Great Learning Course details
Data Mining with Python in 45 minutes
at Great Learning
More about this course
- The session starts with a basic overview of data mining, post which we will comprehensively look at the data mining life cycle
- Under the data mining life cycle, we will focus majorly on one topic which is Exploratory Data Analysis
- Exploratory Data Analysis is basically Data Wrangling and Data Visualization, and we will be implementing both of these with thorough Python demos
- Going ahead, we will also touch upon the concept of Machine Learning
- We will learn the fundamentals of ML and also look at the types of ML, which is supervised learning and unsupervised learning
- Finally, there will be a QnA session, where you can put up your doubts and queries with respect to the session
- Overall, this session would be a quick guide for you to understand the concepts of data mining and to implement those concepts using Python
Data Mining with Python in 45 minutes at Great Learning Curriculum
Data Mining with Python in 45 minutes
at Great Learning
Syllabus
Array
Data Mining with Python in 45 minutes at Great Learning Faculty details
Data Mining with Python in 45 minutes
at Great Learning
Mr. Bharani Akella
Designation : Data Scientist
Description : Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.
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