Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS

Course Overview

• Course Title: Data Science & Machine Learning(Theory+Projects)A-Z 90 HOURS
• Instructor: AI Sciences
• Target Audience:
  • Individuals from non-engineering backgrounds eager to transition into Data Science.
  • Aspiring data scientists who want to work with real-world datasets.
  • Business analysts looking to gain expertise in Data Science & ML.
  • Anyone passionate about programming, numbers, and data-driven decision-making.
• Prerequisites:
  • No prior knowledge is needed. You will start with the basic concepts and gradually build your knowledge of the subject.
  • Enthusiasm and willingness to learn and practice.

Curriculum Highlights

• Key Topics Covered:
  • Key data science and machine learning concepts with examples in Python.
  • Essential Concepts and Algorithms in Machine Learning.
  • Python for Data Science and Data Analysis.
  • Data Understanding and Data Visualization with Python.
  • Probability and Statistics in Python.
  • Feature Engineering and Dimensionality Reduction with Python.
  • Artificial Neural Networks with Python.
  • Convolutional Neural Networks with Python.
  • Recurrent Neural Networks with Python.
  • Detailed Explanation and Live Coding with Python.
  • Building your own AI applications.
• Key Skills Learned:
  • Understanding key principles and theories in Data Science and Machine Learning.
  • Implementing Python-based machine learning models using real-world datasets.
  • Applying advanced data science techniques to solve complex problems.
  • Taking on challenging roles in data science and machine learning with confidence.

Course Format

• Duration: 94 hours on-demand video
• Format: Self-paced online course
• Resources:
  • 2 practice tests
  • 9 articles
  • Access on mobile and TV
  • Certificate of completion