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

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

Requirements

  • IMPORTANT – You should be enthusiastic to learn Data Science
  • Be able to understand English
  • Basic knowledge of Computers
  • 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

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