This plan includes
- Limitedfree coursesaccess
- Play & PauseCourse Videos
- VideoRecorded Lectures
- Learn onMobile/PC/Tablet
- Quizzes andReal Projects
- Lifetime CourseCertificate
- Email & ChatSupport
What you'll learn?
- Data Analytics
- Python Programming
- Data Manipulation with Pandas
- Data Visualization with MatPlotlib
- NumPy
- Python for Data Science
Course Overview
Data Analytics is the trending technology in the present days. If you are someone who is passionate about Data Science, Machine Learning and Data Analytics, then this course is for you.
It covers the following:
-
Data Analytics
-
Numpy Mathematical Operations
-
Pandas Data Manipulation
-
Data Visualization with Matplotlib
-
Python programming
Pre-Requisites:
-
No Pre-Requisites are required
Target Audience:
-
Any one who is passionate about Data Analytics
Resources:
-
Code workbooks for Data Analytics part is provided
Pre-requisites
- No pre-requisites are required
Target Audience
- Beginners who are curious about Data Science, Machine Learning and Data Analytics
Curriculum 53 Lectures 03:43:56
Section 1 : Introduction
- Lecture 2 :
- About the Instructor
Section 2 : Installation
- Lecture 1 :
- Anaconda Installation
- Lecture 2 :
- Jupyter Notebooks
Section 3 : Why Python
- Lecture 1 :
- Features of Python
- Lecture 2 :
- Multi-paradigm
- Lecture 3 :
- Open Source
- Lecture 4 :
- Diversified
- Lecture 5 :
- Interpretation
- Lecture 6 :
- Easy and Simple
- Lecture 7 :
- Dynamic Typing
- Lecture 8 :
- Large Standard Library
Section 4 : Python Hands-On
- Lecture 1 :
- Numbers
- Lecture 2 :
- Variables
- Lecture 3 :
- Operators
- Lecture 4 :
- Dynamic Typing in Python
- Lecture 5 :
- Strings in Python
- Lecture 6 :
- String Operations
- Lecture 7 :
- String Methods
- Lecture 8 :
- Immutability
- Lecture 9 :
- String Formatting
- Lecture 10 :
- Lists
- Lecture 11 :
- List Methods
- Lecture 12 :
- Tuples
- Lecture 13 :
- Dictionaries
- Lecture 14 :
- Dictionary Methods
- Lecture 15 :
- Sets and Booleans
- Lecture 16 :
- Statements
- Lecture 17 :
- For Loop
- Lecture 18 :
- While Loop
- Lecture 19 :
- Functions
- Lecture 20 :
- Decorators
- Lecture 21 :
- Generators
- Lecture 22 :
- Objects and Classes
- Lecture 23 :
- Attributes
- Lecture 24 :
- Methods
- Lecture 25 :
- Inheritance
- Lecture 26 :
- Polymorphism
Section 5 : Data Analytics with NumPy
- Lecture 1 :
- Intro to NumPy
- Lecture 2 :
- NumPy Arrays
- Lecture 3 :
- NumPy Data Types
- Lecture 4 :
- NumPy Array Attributes
- Lecture 5 :
- Maths with NumPy
Section 6 : Data Analytics with Pandas
- Lecture 1 :
- Intro to Pandas
- Lecture 2 :
- Reading data in Pandas
- Lecture 3 :
- Pandas Data Manipulation-1
- Lecture 4 :
- Pandas Data Manipulation-2
- Lecture 5 :
- Pandas Data Manipulation-3
Section 7 : Data Analytics and Visualization with Matplotlib
- Lecture 1 :
- Intro to Matplotlib
- Lecture 2 :
- Plotting Arrays
- Lecture 3 :
- Plot Styling
- Lecture 4 :
- Customizing plots
- Lecture 5 :
- Variants of Graphs
Our learners work at
Frequently Asked Questions
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?
You require an active subscription to access courses on our platform. If your subscription is active, you can access any course on our platform with no restrictions.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?
Instructor
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