Data Science with Python Complete Course

Categories: Data Science, Development
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About Course

Today Data Science and Machine Learning are used in almost every industry, including automobiles, banks, health, telecommunications, telecommunications, and more.

As the manager of Data Science and Machine Learning, you will have to research and look beyond common problems, you may need to do a lot of data processing. test data using advanced tools and build amazing business solutions. However, where and how will you learn these skills required in Data Science and Machine Learning?

DATA SCIENCE COURSE-OVERVIEW

  • Getting Started with Data Science
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What Will You Learn?

  • Perform high-level mathematical and technical computing using the NumPy and SciPy packages and data analysis with the Pandas package
  • Master the essential concepts of Python programming, including data types, tuples, lists, dicts, basic operators, and functions.
  • Gain an in-depth understanding of Data Science processes: data wrangling, data exploration, data visualization, hypothesis building, and testing
  • Apply knowledge and actionable insights from data across a broad range of application domains.

Course Content

Introduction

Basic Maths Required for Data Science

python for Data Science

Advance Python

Let’s Dig Deeper

Let’s explore Machine Learning

Module Seven

Module Eight

Featured Topics

Project: Telecom Churn Production

Course Resources