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Data Science and Data Analysis with Python from Scratch

person icon Fanuel Mapuwei

4.1

Data Science and Data Analysis with Python from Scratch

Data Science and Data Analysis Course from Aª-Z

updated on icon Updated on Apr, 2024

language icon Language - English

person icon Fanuel Mapuwei

category icon Data Analysis,Data Science,Python,Deep Learning,Development

Lectures -50

Resources -2

Duration -3.5 hours

4.1

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Course Description

Hello?  Welcome to Python Data Science. This course is Essential for Python Programming Intermediate students with adequate Knowledge about Python. The learning content for this course is for Beginners in Data Science with a desire to further their knowledge by dive in into Data Science and Machine Learning, this is the right course for you. This course is easy to follow and learn new concepts in  Data Science.

In this course, we are going to cover, Data Structures and Binary Files followed by Pandas, Numpy, Random, Seaborn, SciPy and Matplotlib. With this course, you can start your journey in Data Science and Machine Learning. all that’s needed is your creativity and problem-solving skills. With this course, you can add confidence, programming skills competence to your resume. Data science is the field of study that combines domain expertise, programming skills, and knowledge of mathematics and statistics to extract meaningful insights from data.

Do not miss out with technology, these days everyone is a Data collector so, take your time with this course and learn how to manipulate data after collection. In Addition, if you are an expert with full and enough knowledge about Data Science this course is not for you and if you are in advanced class already this course is not for you again. But if you are already a programmer and you wish to learn Python Programming Language while specifically focusing on Data Science, then this course is for you definitely.

What you’ll learn

  •       Understand the fundamental of plotting
  •       Acquire adequate hands-on skills and confidence to use Python for Machine learning and Data Science
  •       Straight forward Programming Methodology
  •       Able to design well organized and problem-solving programs

Are there any course requirements or prerequisites?

  •       Creativity
  •       Computer with either MacOs, Windows or Linux
  •       PyCharm or Anaconda (Jupyter Notebook)

Who this course is for:

  •       Intermediate learners who wish to go further with Python Programming Language
  •       Beginner Python learners who are curious about Machine learning and Data Science

Goals

What will you learn in this course:

  • Resolve missing values in a dataset

  • Read Data from various Binary file formats

  • Gain a deep and hands-on understanding of pandas' data structures.

  • Hundreds of ways of Data Manipulation and Visualization

  • Data Analysis

  • Load Machine Learning Data

  • Start Deep Learning

Prerequisites

What are the prerequisites for this course?

  • windows/macos/linux computer

Data Science and Data Analysis with Python from Scratch

Curriculum

Check out the detailed breakdown of what’s inside the course

Introduction
4 Lectures
  • play icon Course Preview 00:59 00:59
  • play icon Course Curriculum 02:20 02:20
  • play icon Anaconda Installation 05:17 05:17
  • play icon Opening Jupiter Notebook 03:48 03:48
Data Analysis with Pandas
6 Lectures
Tutorialspoint
Numpy Tutorial for Data Science
12 Lectures
Tutorialspoint
Numpy Universal Functions
5 Lectures
Tutorialspoint
Random Numbers in Numpy
6 Lectures
Tutorialspoint
Seaborn Tutorial for Data Science
4 Lectures
Tutorialspoint
Python MatPlotlib Tutorial
9 Lectures
Tutorialspoint
Machine Learning Tutorial For Beginners
4 Lectures
Tutorialspoint

Instructor Details

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Fanuel Mapuwei

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