Python For Data Science: From Fundamentals To Advanced
Master Python Data Science starts with fundamentals of Python programming and walking through Numpy & Pandas.
Updated on Jun, 2025
Language - English
Development ,Data Science,Python
Lectures -96
Resources -5
Duration -6.5 hours
Lifetime Access
Lifetime Access
30-days Money-Back Guarantee
Get your team access to 10000+ top Tutorials Point courses anytime, anywhere.
Course Description
Python is a general-purpose programming language that is increasingly popular for data science. It is easy to learn and use, and it has a rich ecosystem of libraries and tools for data analysis and machine learning.
This online video course will teach you everything you need to know to use Python for data science, from the fundamentals to advanced topics. You will learn about the different Python libraries and tools used for data science, such as NumPy, Pandas, matplotlib, and sci-kit-learn. You will also learn how to use Python to perform common data science tasks, such as data cleaning, data exploration, and data visualization.
Course Overview
Python For Data Science: From Fundamentals To Advanced course is designed to prepare learners to use Python for Data Science.
We begin by outlining the basics of Python programming. Variables, data types, data structures (lists, sets, tuples, dictionaries), decision and looping structures, and functions are among the concepts you will study.
The handling of nested data, nested iteration, and list comprehension are all covered in detail. These subjects expand on the principles and are more complex.
The next step is to work with libraries that are designed for data analysis, data manipulation, and data science and are constructed on top of "pure" or "base" Python. The purpose of these libraries is to facilitate easier and more adaptable data science work. You will use Pandas and NumPy.
Who this course is for:
You should start learning from the basics. You should become familiar with Python (standard/base) first, and then build on that knowledge by studying the libraries that are pertinent to data science.
Beginners in Python
Those just starting out using Python for data science
Goals
Understanding how to build and use variables, data structures, looping structures, decision structures, and functions.
how to convert and filter nested data using list comprehension, iterate through nested data, and work with nested data.
Create and manipulate arrays using Numpy.
Create and manipulate Series and DataFrame, the two primary data structures, using Pandas. You will concentrate on the second and learn how to apply it to data science and data manipulation.
Prerequisites
We'll start right from scratch on the Python learning journey. Prior to looking at libraries that are pertinent to data science, you will first understand the standard version of Python.
Curriculum
Check out the detailed breakdown of what’s inside the course
Introduction
2 Lectures
-
Introduction
01:39
01:39
-
Resources (Data-sets and Notebooks)
Installation/Jupyter/Comments (Windows and MacOS/Jupyter Notebook)
8 Lectures
Python Fundamentals
14 Lectures
Decision and Looping Structures
7 Lectures
Functions
11 Lectures
Nested Data, Nested Iteration and List Comprehension
13 Lectures
Numpy
19 Lectures
Pandas
17 Lectures
Activity Solutions
4 Lectures
Instructor Details
Ermin Dedic
I have a passion for anything data, whether it is applying statistical methods to data more generally, or utilizing a data-driven approach in the Healthcare or Finance/Banking industries.
I studied Psychology for 6-years, including 2 years of Graduate school, where I was training to be a Child/School Psychologist. I was fortunate enough to have the opportunity to experience a blend of course work and clinical work but also recognize some of the problems facing the mental health system and graduate school system. While I am very interested in finding a solution for the latter, this is a long-term goal.
I did ultimately decide to voluntarily leave the Grad program, it was via academics that I fell in love with statistics and statistical software like SPSS/SAS.
Furthermore, it was my Graduate school experience that not only solidified my interest in teaching, it's where I received a lot of positive feedback on my ability to break down complex topics.
I enjoy receiving messages from students who have passed exams, obtained interviews, or gained employment, from taking one of my courses.
---------------------------------------------------------------------------------------
Para meus alunos de língua portuguesa ...
Sou apaixonado por estatística, ciência de dados, programação orientada a objetos e psicologia / saúde mental. Eu desenvolvi um conhecimento em Programação e Estatística SAS através da minha escolaridade e auto-estudo. Também sou autodidata em programação orientada a objetos.
Eu sou um ex-aluno de graduação em psicologia educacional. Dois anos depois, decidi me retirar voluntariamente. Aprendi que o ambiente acadêmico tradicional e o ambiente clínico não eram o caminho adequado para promover mudanças em larga escala.
Ensinar é uma paixão há muito tempo. Criei meu primeiro curso de vídeo online em 2016 (um curso de Estatística). Foi um projeto de pura paixão. Como resultado de obter ótimos comentários, continuei! Atualmente, ensino os cursos de SAS, estatísticas e psicologia, mas também estou sempre aprendendo. Gosto de receber mensagens de alunos que passaram nos exames, obtiveram entrevistas ou obtiveram emprego ao fazer um de meus cursos.
----------------------------------------------------------------------------------------------
Course Certificate
Use your certificate to make a career change or to advance in your current career.
Our students work
with the Best
Related Video Courses
View MoreAnnual Membership
Become a valued member of Tutorials Point and enjoy unlimited access to our vast library of top-rated Video Courses
Subscribe now
Online Certifications
Master prominent technologies at full length and become a valued certified professional.
Explore Now