Python is one of the most preferred programming languages when it comes to Data Science, Machine Learning and Deep Learning related applications. Because of its good community support, high level and high-performance packages available in python and the packages which can run on GPU, python is the first choice of the Data Scientists across the world.
Packages like numpy, pandas, matplotlib, seaborn and scikit-learn make python the easiest and the most powerful among all programming languages for Data Science and Machine Learning.
This course is designed to make a learner get an understanding of python programming from basic to advance to get started with Data Science and Machine Learning.
This course specially designed for those who want to start their career in the field of machine learning, Data science, data analytics and they do not have any experience in coding.
The course covers basics to advance of python, and working with pandas, matplotlib, numpy and seaborn, the learner will get to learn with some interesting case studies and projects.
For coding, Reference click on the link IPL Data Analysis using python
- 30 days access to the course.
- 6.5 hours on-demand Videos
- 70% Hands-on Session
- Course Certification
- Capstone Projects
- Assignment & Assignment
- The learner will understand the power of Python Programming language,
- A learner will become ready to go for the advanced courses, i.e. AI, Machine Learning, Deep Learning and Data Science
Tools & Libraries
- No prerequisites required
Module 1 Introduction to Python List, Truple, Dictionary
Module 2 Operation, List, Indices
Module 3 Operators and Class
Module 4 Numpy, Pandas, matplotlib
Module 5 Matrix, Eigen Vectors, cancer diagnosis
Module 6 Data Visualization