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Data Science and Data Analysis with Python from Scratch

person icon Fanuel Mapuwei

4.7

Data Science and Data Analysis with Python from Scratch

Data Science and Data Analysis Course from Aª-Z

updated on icon Updated on Feb, 2025

language icon Language - English

person icon Fanuel Mapuwei

English [CC]

category icon Development ,Data Science,Data Analysis

Lectures -50

Resources -2

Duration -3.5 hours

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4.7

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Course Description

Hello?  Welcome to Python Data Science. This course is essential for Python Programming Intermediate students with adequate Knowledge of 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 on 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 an 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 fundamentals 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

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

  • 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

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


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
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Numpy Tutorial for Data Science

12 Lectures
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Numpy Universal Functions

5 Lectures
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Random Numbers in Numpy

6 Lectures
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Seaborn Tutorial for Data Science

4 Lectures
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Python MatPlotlib Tutorial

9 Lectures
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Machine Learning Tutorial For Beginners

4 Lectures
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Instructor Details

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Fanuel Mapuwei

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