Wednesday, November 4, 2020

[100% OFF] FUNDAMENTALS OF DATA SCIENCE & MACHINE LEARNING WITH PYTHON




Learn Data Science, Probability & Statistics, Python, Data Gathering & Cleaning, Machine Learning & 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!

Description

If I will tell the scope and future of data science in the World is very high and Data Scientist is the most in-demand profession today, I am sure you won’t trust. What if a great leader says so. According to Tim Berners Lee, the inventor of the World Wide Web–

"Data is a Precious Thing and will Last Longer than the Systems themselves."

Also, Vinod Khosla, an American Billionaire Businessman and Co-founder of Sun Microsystems declared –
"In the next 10 years, Data Science and Software will do more for Medicines than all of the Biological Sciences together."

By the above two statements, it is clear that data proliferation will never end and because of that, the use of data related technologies like Data Science and Big Data is increasing day by day. Data Scientist has been ranked the number one job on Glassdoor and the average salary of a data scientist is over $120,000 in the United States according to Indeed! Data Science is a rewarding career that allows you to solve some of the world's most interesting problems!

Data science is a multidisciplinary field. It encompasses a wide range of topics. So Data scientist also needs to be multidisciplinary

Understanding of the data science field and the type of analysis carried out based on project objectives

Mathematics

Statistics and Probability

Python

Applying advanced statistical techniques in Python

Data Visualization

Machine Learning

WHY SHOULD I ENROLL FOR THIS COURSE?

In this course, we will start right from the basics like what is Data Science? Most of the people are often confused when they are asked - “WHAT IS DATA SCIENCE?” The most common reply is - “UM, MACHINE LEARNING. ” Well, Machine Learning is a part of Data science domain but it doesn’t mean that machine learning is the synonym of data science.

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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Disclaimer: This Course is by Udemy, Course description is from udemy

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