Data science and AI - The Next Gen of Programming

Complete Data Science Training: Mathematics, Statistics, Python, Advanced Statistics in Python, Machine & Deep Learning

Advanced 2(1 Ratings) 14 Students enrolled
Created by Allashyam Charan Last updated Tue, 30-Jan-2024 English
What will i learn?
  • Understand the mathematics behind Machine Learning (an absolute must which other courses don’t teach!)
  • Be able to create Machine Learning algorithms in Python, using NumPy, statsmodels and scikit-learn
  • Perform linear and logistic regressions in Python
  • Start coding in Python and learn how to use it for statistical analysis

Curriculum for this course
12 Lessons 16:38:53 Hours
Coursework
12 Lessons 16:38:53 Hours
  • Introduction 01:51:45
  • Descriptive Modeling 01:18:46
  • Projects Part 1 00:46:06
  • Explanatory Data Analysis 01:40:04
  • Projects Part 2 02:44:51
  • Probability - I 01:57:39
  • Probability - II 01:40:42
  • Linear Regression - I 01:43:23
  • Linear Regression - II 01:00:30
  • Logistic Regression - I 00:44:22
  • Logistic Regression - II 00:26:06
  • Additional Projects 00:44:39
Requirements
  • Anyone with zero experience (or beginner/junior) who wants to learn Machine Learning, Data Science and Python
  • Anyone who wants to learn these topics from industry experts that don’t only teach, but have actually worked in the field
  • You want to add value to your own business or company you work for, by using powerful Machine Learning tools.
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Description

The data science workflow typically involves collecting, cleaning, and processing data, followed by exploratory data analysis to understand the underlying patterns. Machine learning and statistical modeling are then applied to build predictive models or uncover hidden insights. Data scientists use programming languages like Python or R, along with specialized tools and frameworks, to perform these tasks.

The goal of data science is to make informed decisions, solve complex problems, and drive business outcomes by leveraging the power of data. It has applications in a wide range of fields, including business, healthcare, finance, social sciences, and more. Data scientists play a crucial role in transforming raw data into actionable intelligence, helping organizations gain a competitive advantage and make data-driven decisions.

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About the instructor
  • 10 Reviews
  • 150 Students
  • 19 Courses
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Quantum Robotics

We make the students' society proud as they work with real-time applications on which they can happily lead their life. The students who work for their dreams can use this experience to fulfill their dreams. We believe that only smart work makes the world of robotics nation proud and great.

Student feedback
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Reviews
  • Mon, 24-Jun-2024
    Chahat Rajput
    Course is good but they asked me about internship only given the course in my hands and certificate. Please don't waste your money here.
₹7000
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Includes:
  • 16:38:53 Hours On demand videos
  • 12 Lessons
  • Access on mobile and tv
  • Full lifetime access
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