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Python Data Analysis and Data Science Essentials.
Rating: 4.3 out of 5(52 ratings)
1,147 students

Python Data Analysis and Data Science Essentials.

Learn complete Pandas, Numpy, Random, Seaborn, SciPy, Matplotlib for Machine Learning and Data Science
Created byFanuel Mapuwei, Protious Ngoro
Last updated 3/2025
English

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
  • Use Statistical analysis to make predictions
  • Working with different types of data
  • Data Distributions

Course content

10 sections • 69 lectures • 5h 46m total length

  • Course Curriculumn2:04

    This lecture shows a summary of the major topics we are going to cover on this course and  to get more insight of the sub topics to be covered you can hover on the course sections to see the aspects you are looking for.

  • PyCharm installation6:06

    Learn how to install PyCharm

  • Anaconda Installation5:17

    Lean to install Anaconda Distribution so that you can load Jupyter Notebook.

  • Opening Anaconda Navigator and Jupyter Notebook3:48

    Checking the Anaconda Navigator interface and environment as well as configuring Jupyter Notebook

Requirements

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

Description

Hi?  Welcome to Python Data Science Essential Course for Data Analysis and Visualization. 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 teaches new concepts in  Data Analysis and 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 and 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 wish to learn Python Programming Language while specifically focusing on Data Science, then this course is definitely for you.

PLEASE NOTE THAT: the course comes with UDEMY’S 30-DAY unconditional MONEY-BACK GUARANTEE. So what are you waiting for?

In this course, we will be using PyCharm and Anaconda (Jupyter Notebook) as our IDE.

Who this course is for:

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

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