[ Free ] Data Science with Python Certification Training with Project | Udemy 100% OFF Coupons| Udemy Paid Course For Free | Tech With Code
Udemy paid course for free: [ Limited Time Offer ]
Today I will provide you Data Science with Python Certification Training with Project for free.
yes, it's completely free. you do not need to download it now. you will get lifetime access to your
Udemy account if you go with the following link.
Note that it is a paid course on Udemy but if you go with the following link, you will get this Data Science with Python Certification Training with Project for Free.
Requirements:-
- Enthusiasm and determination to make your mark on the world!
This course includes:
- 44.5 hours on-demand video
- 36 downloadable resources
- Full lifetime access
- Access on mobile and TV
- Certificate of completion
Note:- If you guys are getting coupon expired or the course is not free after opening the link, then it is due to the fact that course instructors provide only a few hundreds or thousands of slots that get exhausted. So, try to enroll in the course as soon as it is posted on the channel. The Coupons may expire any time for instant notification follow telegram channel
What you'll learn:
- End-to-end knowledge of Data Science
- Prepare for a career path as Data Scientist / Consultant
- Overview of Python programming and its application in Data Science
- Detailed level programming in Python - Loops, Tuples, Dictionary, List, Functions & Modules, etc.
- Decision-making and Regular Expressions
- Introduction to Data Science Libraries
- Components of Python Ecosystem
- Analysing Data using Numpy and Pandas
- Data Visualisation with Matplotlib
- Three-Dimensional Plotting with Matplotlib
- Data Visualisation with Seaborn
- Introduction to Statistical Analysis - Math and Statistics
- Terminologies & Categories of Statistics, Correlation, Mean, Median, Mode, Quartile
- Data Science Methodology - From Problem to Approach, From Requirements to Collection, From Understanding to Preparation
- Data Science Methodology - From Modeling to Evaluation, From Deployment to Feedback
- Introduction to Machine Learning
- Types of Machine Learning - Supervised, Unsupervised, Reinforcement
- Regression Analysis - Linear Regression, Multiple Linear Regression, Polynomial Regression
- Implementing Linear Regression, Multiple Linear Regression, Polynomial Regression
- Classification, Classification algorithms, Logistic Regression
- Decision Tree, Implementing Decision Tree, Support Vector Machine (SVM), Implementing SVM
- Clustering, Clustering Algorithms, K-Means Clustering, Hierarchical Clustering
- Agglomerative & Divisive Hierarchical clustering
- Implementation of Agglomerative Hierarchical Clustering
- Association Rule Learning
- Apriori algorithm - working and implementation
How to Get the Course:-
Data Science with Python For Free
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