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
What you’ll learn
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Become a well round Data Scientist
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Python Programming for Data Science
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Complete working flow of Data Science project
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Role of Data Scientist in Today’s World
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How to apply Probability concepts to Solve real life problems
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Collecting Data from API (Application Programming Interface)
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Collecting Data from JSON
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Collecting Data from Local file, and CSV and Excel
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Learn different techniques to clean the data
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Probability for Data Science – Probability definition, Random Variables, Probability Distribution, Bayes’ Theorem
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Discrete and Continuous Probability Distribution
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Basic Statistical Concepts for Data Science
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Learn about Collections in Python
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What is Machine Learning and its types
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Machine Learning Models – Simple and Multiple Linear Regression, Advance Linear Regression, Decision Tree, SVM, K-means Clustering
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Supervised and Unsupervised machine learning models
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Learn to use the popular library Scikit-learn in your projects
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Learn to perform Classification and Regression modelling
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Probability Distributions – Binomial Distribution, Normal Distribution and Poisson Distribution
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Statistical Concepts – Mean, Mode, Median and Standard Deviation
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Data Visualization
Requirements
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IMPORTANT – You should be enthusiastic to learn Data Science
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Be able to understand English
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Basic knowledge of Computers
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Rest everything leave it to us, we will take you from novice to expert!
Who this course is for:
- Data Science enthusiasts
- Those who are looking for a perfect start in Data Science domain
- Those who are looking to start their career as Data Scientist
- Those who are wondering what is Data Science