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Data Science and Analysis: Ultimate Masterclass

This is one of the most comprehensive courses on Data Science that you can find on the web. The complete Data Science course uses the power of Python to learn exploratory data analysis and machine learning algorithms. You will learn the skills to dive deep into the data and present solid conclusions for decision making. Data Science Bootcamps are costly, in thousands of dollars. However, this course is only a fraction of the cost of any such Bootcamp and includes HD lectures along with detailed code notebooks for every lecture. The course also includes practical exercises on real data for each topic you cover because the goal is "Learn by Doing"!

  • 2500
  • 35000
  • Course Includes
  • 25 Hours Video Class
  • Downloadable Resources
  • Free Certificate of Completion
  • 1 Year Access

Enrol and get access to the full course.

What you will learn

  • Python to analyze data, create state of the art visualization and use of machine learning algorithms to facilitate decis...
  • Python for Data Science and Machine Learning
  • NumPy for Numerical Data
  • Pandas for Data Analysis
  • Plotting with Matplotlib
  • Statistical Plots with Seaborn
  • Interactive dynamic visualizations of data using Plotly
  • SciKit-Learn for Machine Learning
  • K-Mean Clustering, Logistic Regression, Linear Regression
  • Random Forest and Decision Trees
  • Principal Component Analysis (PCA)
  • Support Vector Machines
  • Natural Language Processing and Spam Filters and more.

Requirements

  • This course is for you, if you want to learn Data Science with Python, want to learn Machine Learning with Python. The course starts from a beginner's guide to advanced expert, therefore, anyone interested in the topic can begin.

Description

This is one of the most comprehensive courses on Data Science that you can find on the web. The complete Data Science course uses the power of Python to learn exploratory data analysis and machine learning algorithms. You will learn the skills to dive deep into the data and present solid conclusions for decision making. Data Science Bootcamps are costly, in thousands of dollars. However, this course is only a fraction of the cost of any such Bootcamp and includes HD lectures along with detailed code notebooks for every lecture. The course also includes practical exercises on real data for each topic you cover because the goal is "Learn by Doing"!

Not only the hands-on practice using tens of real data projects, theory lectures are also provided to make you understand the working principle behind the Machine Learning models.

Course Content

Click on the tabs to view all the contents
Course Intro
preview 7min
Set-up the Environment for the Course (lecture 1)
preview 10min
Set-up the Environment for the Course (lecture 2)
26min
Download environment file and watch next lecture to setup -- super easy way
1min
Two other options to setup environment
4min
Python data types Part 1
21min
Python Data Types Part 2
15min
Comparisons Operators, if, else, elif statement
13min
Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 1)
preview 16min
Loops, List Comprehension, Functions, Lambda Expression, Map and Filter (Part 2)
21min
Python Essentials Exercises Overview
3min
Python Essentials Exercises Solutions
21min
What is Numpy? A brief introduction and installation instructions.
4min
Numpy Essentials - Numpy arrays, built-in methods, array methods and attributes
28min
NumPy Essentials - Indexing, slicing, broadcasting & boolean masking
27min
NumPy Essentials - Indexing, slicing, broadcasting & boolean masking
27min