Data Science with Python for Students & Beginners
3.7 (15 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,467 students enrolled

Data Science with Python for Students & Beginners

A crisp start in Data Science & Analysis using Numpy, Scipy, Sympy, Matplotlib, Pandas with live examples !
3.7 (15 ratings)
Course Ratings are calculated from individual students’ ratings and a variety of other signals, like age of rating and reliability, to ensure that they reflect course quality fairly and accurately.
1,467 students enrolled
Last updated 6/2020
English
English [Auto]
Current price: $12.99 Original price: $19.99 Discount: 35% off
7 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 4.5 hours on-demand video
  • 1 article
  • 4 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
Training 5 or more people?

Get your team access to 4,000+ top Udemy courses anytime, anywhere.

Try Udemy for Business
What you'll learn
  • Store & manipulate Data
  • Learn different tools like Matplotlib, Sympy, Numpy, Scipy & Pandas
Course content
Expand all 30 lectures 04:32:37
+ Numpy
6 lectures 01:09:08
Numpy Basic
08:39
Numpy Array
12:16
Numpy Indexing & Slicing
15:54
Numpy Random Numbers
06:35
Numpy Sequential Arrays
11:01

Use the attached excel file for the exercise.

Minor Exercise - Numpy
14:43
+ Scipy Visualization
2 lectures 11:23
Scipy 1
08:22
Scipy Visualization
03:01
+ Sympy
5 lectures 21:39
Simpy Basics
05:24
Simpy Calculus
06:39
Simpy Linear Algebra
02:40
Simpy Algebraic Manipulations
02:07
Simpy Equation handling
04:49
+ Matplotlib
4 lectures 40:53
Matplotlib Intro
16:35
Matplotlib Barchart & Pie Chart
11:04
Matplotlib Simple Shapes
10:35

Use the attached excel file for the exercise.

Minor Exercise - Matplotlib
02:39
+ Pandas
3 lectures 28:58
Pandas Introduction
11:40
Pandas Data Loading & Storage
12:13

Use the attached excel file for the exercise.

Minor Exercise - Pandas
05:05
+ Advanced Lectures
4 lectures 01:05:53
Linear Algebra using Numpy
08:08
Input Output
06:04
Advanced Numpy
18:50
Data Wrangling
32:51
+ Summary
3 lectures 18:49

Use the attached excel file for the exercise.

Major Exercise - Important Modules
08:10
Summary
10:18
Bonus Lecture
00:21
Requirements
  • PC
  • Basic knowledge of Python programming
Description

Data Scientists are most in demand & enjoy one of the top-paying jobs in the industry, with an average salary of $120,000 as per the data from Glassdoor and Indeed. That's just the average! And also its interesting work too!

So whom is the course for?  If you are a student, an IT professional, an analyst, a scientist or an academic and you're looking to make the transition to data science, or you're a student, and you want to learn what data science is all about. If you've got some programming or scripting knowledge, this course will teach you the techniques used by real data scientists and machine learning practitioners in the tech industry - and prepare you for a move into this hot career path. 

The course covers

  • Numpy
  • MatplotLib
  • Scipy
  • Sympy
  • Pandas

This course is a short course on Data science to enable you to start learning & using the fundamentals immediately.

Who this course is for:
  • College Students looking for crisp course & quick learning
  • Professionals planning to upgrade / update themselves
  • Anybody who is planning for a career in the field of Data Science/Analytics