Data Science for Complete Beginners

Data Science for Complete Beginners, available at $19.99, has an average rating of 4.35, with 25 lectures, based on 12 reviews, and has 45 subscribers.

You will learn about Detailed Description of what is Data Science Data science Life Cycle Machine Learning Algorithms Python language for Data Science, this includes variables, data structures, control flow statements, files, classes, etc Python packages for Data Science such as Numpy, Pandas, Matplotlib, etc Work on real world project applying the concept he/she has just learnt and even boost his/her portfolio with the project This course is ideal for individuals who are Computer Science students interested in Data Science or Data Science Enthusiasts It is particularly useful for Computer Science students interested in Data Science or Data Science Enthusiasts.

Enroll now: Data Science for Complete Beginners

Summary

Title: Data Science for Complete Beginners

Price: $19.99

Average Rating: 4.35

Number of Lectures: 25

Number of Published Lectures: 24

Number of Curriculum Items: 25

Number of Published Curriculum Objects: 24

Original Price: $49.99

Quality Status: approved

Status: Live

What You Will Learn

Detailed Description of what is Data Science
Data science Life Cycle
Machine Learning Algorithms
Python language for Data Science, this includes variables, data structures, control flow statements, files, classes, etc
Python packages for Data Science such as Numpy, Pandas, Matplotlib, etc
Work on real world project applying the concept he/she has just learnt and even boost his/her portfolio with the project

Who Should Attend

Computer Science students interested in Data Science
Data Science Enthusiasts

Target Audiences

Computer Science students interested in Data Science
Data Science Enthusiasts

In this course, you will learn everything you need to get started in Data Science, You will learn clearly what is data science, jobs in data science, a prerequisite for data science, data science life cycle, learn how to code in python language, work with python modules for data science, data science best practises such as data cleaning, model planning e.t.c and even work on a real world project that you can show case in your portfolio

Course Curriculum

Chapter 1: Introduction

Lecture 1: Introduction

Chapter 2: Module 1 – Data Science Overview

Lecture 1: What is Data Science

Lecture 2: Data Science Application

Lecture 3: Data Science Prerequisite

Lecture 4: Data Science Jobs and Salaries

Lecture 5: Data Science Life Cycle

Lecture 6: Data Science Algorithms

Chapter 3: Python Programming Langugae

Lecture 1: Python and Anaconda Installation

Lecture 2: Python Variables

Lecture 3: Python Operators

Lecture 4: Python Data Structures

Lecture 5: Python Strings

Lecture 6: Python Control Structures

Lecture 7: Python Functions

Lecture 8: Python Classes and Objects

Lecture 9: Python Files

Chapter 4: Python Packages for Data Science

Lecture 1: Numpy Package

Lecture 2: Pandas Package

Lecture 3: Matplotlib Package

Chapter 5: Real World Project – A Model for predicting world happiness

Lecture 1: Data and Package Loading

Lecture 2: Data Cleaning

Lecture 3: Model Planning

Lecture 4: Model Building

Chapter 6: Conclusion

Lecture 1: Conclusion

Instructors

Kevin Musungu
Web Developer, Mobile Developer, Software Developer,Blogger

Rating Distribution

1 stars: 0 votes
2 stars: 1 votes
3 stars: 0 votes
4 stars: 8 votes
5 stars: 3 votes

Frequently Asked Questions

How long do I have access to the course materials?

You can view and review the lecture materials indefinitely, like an on-demand channel.

Can I take my courses with me wherever I go?

Definitely! If you have an internet connection, courses on Udemy are available on any device at any time. If you don’t have an internet connection, some instructors also let their students download course lectures. That’s up to the instructor though, so make sure you get on their good side!

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