# Complete Data Science with Python: Step by Step Guide (2020)

Complete Data Science with Python: Step by Step Guide (2020)

*Complete Data Science with Python*: *Step by Step Guide* (*2020*), Learn *entire* Probability and Statistics, *Python*, *Data* Gathering and Cleaning, *Machine Learning* and *Data* Visualization. “*Data* is a Precious Thing and will Last Longer than the Systems themselves.”

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What you'll learn

- Become a well round Data Scientist
- Python Programming for Data Science
- Complete working flow of Data Science project
- Role of Data Scientist in Today's World
- How to apply Probability concepts to Solve real life problems
- Collecting Data from API (Application Programming Interface)
- Collecting Data from JSON
- Collecting Data from Local file, and CSV and Excel
- Learn different techniques to clean the data
- Probability for Data Science - Probability definition, Random Variables, Probability Distribution, Bayes' Theorem
- Discrete and Continuous Probability Distribution
- Basic Statistical Concepts for Data Science
- Learn about Collections in Python
- What is Machine Learning and its types
- Machine Learning Models - Simple and Multiple Linear Regression, Advance Linear Regression, Decision Tree, SVM, K-means Clustering
- Supervised and Unsupervised machine learning models
- Learn to use the popular library Scikit-learn in your projects
- Learn to perform Classification and Regression modelling
- Probability Distributions - Binomial Distribution, Normal Distribution and Poisson Distribution
- Statistical Concepts - Mean, Mode, Median and Standard Deviation
- Data Visualization

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