Learn Python for Data Science & Analysis from Scratch

Master Python within few hours & Be Ready to jump into Data Science & Analytics

Created by : Rated :4 740 views

Last Updated: 2022-07-18 06:07:37 English Course Type: Self Learning

Learn the art of programming
Master Python programming language
100% capable enough to enter the field of Data Science & Analytics
Build GUIs and Desktop applications with Python
Learn to use Data Science & Analysis libraries like Pandas, NumPy, Matplotlib, Seaborn
Build Python projects to potentially become a full time Programmer

Are you ready to jump into Data Science & Analytics?

Do you know that to enter the field of Data Science & Analytics, learning a programming language is must!!

This comprehensive course will be your guide to learn Python from scratch, and even will be introducing you to various mostly used libraries into Machine Learning & Data Science such as Pandas, NumPy, Matplotlib, Seaborn etc. to analyze data, create beautiful visualizations, and use powerful machine learning algorithms!

This course is designed in such a way that even someone with zero programming knowledge can learn with ease, and jump into the field of Data Science & Analytics.

Yes, you heard it right!!

Even if you have zero knowledge on programming, or you are coming from a purely non-technical background, this is the course you were searching for!!

The trainer of this course carries an immense knowledge into Programming, Data Science & Analytics, and have taught 10,000+ students globally. With over 6 hours of content and detailed code notebooks for every lecture this is one of the most comprehensive course for Python on Learnfly!

Here are the topics that we will learn in this course:

Python Basics
Datatypes, Operators & Operands
Data Structures - Lists, Tuples, Sets & Dictionaries
Loops & Iteration
Functions
Map, Reduce & Filter Functions
File Handling
Control Structures
Object Oriented Programming Concepts: Inheritance, Encapsulation, Polymorphism, and Data abstraction
Python for Data Science & Analysis: Pandas
Python for Data Science & Analysis: NumPy
Python for Data Visualization: Matplotlib, Seaborn

Enroll in the course and start your journey into Programming, Data Science & Analytics now!!

No programming experience needed. You will learn A-Z related to Python Programming in this course

Beginners who are curious & interested to jump into the world of Data Science & Analytics

Section 1 : Let's Get Started with Python 5 Lectures 00:04:59
Lecture 1 :
Course Resources Preview
Lecture 2 :
Introduction
Lecture 3 :
Python Installation
Lecture 4 :
Variables & Keywords
Lecture 5 :
Datatypes & Operators
Section 2 : Python Data Structures 4 Lectures 00:00:03
Lecture 1 :
Lists
Lecture 2 :
Tuples
Lecture 3 :
Sets
Lecture 4 :
Dictionary
Section 3 : File Handling Loops & Functions 4 Lectures 00:00:04
Lecture 1 :
Loops & Iterations
Lecture 2 :
Functions in Python
Lecture 3 :
Map, Reduce & Filter Functions
Lecture 4 :
File Handling
Section 4 : Control Structures & OOPs 2 Lectures 00:09:40
Lecture 1 :
Control Structures
Lecture 2 :
Object Oriented Programming Concepts
Section 5 : Python for Data Science & Analysis 2 Lectures 00:00:03
Lecture 1 :
Pandas
Lecture 2 :
NumPy
Section 6 : Python for Data Visualization 3 Lectures 00:06:15
Lecture 1 :
Data Visualization
Lecture 2 :
Matplotlib
Lecture 3 :
Seaborn

How do i access the course after purchase?
It's simple. When you sign up, you'll immediately have unlimited viewing of thousands of expert courses, paths to guide your learning, tools to measure your skills and hands-on resources like exercise files. There’s no limit on what you can learn and you can cancel at any time.
Are these video based online self-learning courses?
Yes. All of the courses comes with online video based lectures created by certified instructors. Instructors have crafted these courses with a blend of high quality interactive videos, lectures, quizzes & real world projects to give you an indepth knowledge about the topic.
Can i play & pause the course as per my convenience?
Yes absolutely & thats one of the advantage of self-paced courses. You can anytime pause or resume the course & come back & forth from one lecture to another lecture, play the videos mulitple times & so on.
How do i contact the instructor for any doubts or questions?
Most of these courses have general questions & answers already covered within the course lectures. However, if you need any further help from the instructor, you can use the inbuilt Chat with Instructor option to send a message to an instructor & they will reply you within 24 hours. You can ask as many questions as you want.
Do i need a pc to access the course or can i do it on mobile & tablet as well?
Brilliant question? Isn't it? You can access the courses on any device like PC, Mobile, Tablet & even on a smart tv. For mobile & a tablet you can download the Learnfly android or an iOS app. If mobile app is not available in your country, you can access the course directly by visting our website, its fully mobile friendly.
Do i get any certificate for the courses?
Yes. Once you complete any course on our platform along with provided assessments by the instructor, you will be eligble to get certificate of course completion.
For how long can i access my course on the platform?
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Is there any free trial?
Currently, we do not offer any free trial.
Can i cancel anytime?
Yes, you can cancel your subscription at any time. Your subscription will auto-renew until you cancel, but why would you want to?

Satyajit Pattnaik,

4020 Course Views

5 Courses

A Data Scientist with a passion for turning data into actionable insights, and meaningful stories.Right from the data extraction till the final data product or actionable insights, I enjoy the journey with the data. 10+ years experience working in Data Analytics and Data Sciences across different industry verticals including telecom, cyber security, insurance, e-commerce etc. Conducted various training sessions on Data Science, Analytics, ML & AI, as well as attended various International conferences as keynote speaker & guest on Data Science, ML & AI in various universities across APAC Region. Over 6+ years of training & teaching experience into Data Science & Analytics