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Data Science Course with Python

Enrolled: 253411 students
Duration: 60 Hrs
Lectures: 25
Level: Intermediate

Grow your Data Science skills
This comprehensive hands-on course takes you from the fundamentals of Data Science to an advanced level in weeks. Get hands-on programming experience in Python that you’ll be able to immediately apply in the real world. Equip yourself with the skills you need to work with large data sets, build predictive models and tell a compelling story to stakeholders.
You’ll learn the end-to-end data science process, covering everything you need to know to derive value from complex data. By the end of the course, you will be able to communicate data insights effectively through data visualizations. For your capstone, you’ll put machine-learning models into production to address a real-world data challenge.

Data Science with Python Course Curriculum

1
Course Introduction
2
Introduction to Data Science
3
Introduction to AI and Machine Learning
4
Python basic constructs
5
Maths for DS-Statistics & Probability
6
Probability and Statistics
7
NumPy for mathematical computing
8
SciPy for scientific computing
9
Data Analysis and manipulation using Pandas
10
Data visualization with Matplotlib
11
Data visualization with Seaborn
12
Machine Learning using Python
13
Supervised Learning
14
Feature Engineering
15
Supervised Learning Classification
16
Linear Regression
17
Logistic Regression
18
Decision Tree
19
Random Forest
20
KNN
21
Unsupervised Learning
22
Time Series Forecasting
23
Ensemble Learning
24
Recommender Systems
25
Project Highlight
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