Data Science with Numpy, Pandas, Matplotlib & Seaborn
2.6 (7 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.
1,071 students enrolled

Data Science with Numpy, Pandas, Matplotlib & Seaborn

Python, Data Analysis, Visualization. Covers essential python topics and libraries for Data Science or Machine Learning.
2.6 (7 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.
1,071 students enrolled
Created by Pradeep D
Last updated 11/2019
English
English [Auto]
Current price: $118.99 Original price: $169.99 Discount: 30% off
5 hours left at this price!
30-Day Money-Back Guarantee
This course includes
  • 3 hours on-demand video
  • 1 article
  • 1 downloadable resource
  • Full lifetime access
  • Access on mobile and TV
  • Certificate of Completion
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What you'll learn
  • Hands on skills in Data Insights Visualization
  • Basic Python- Creating Identifiers, Operators, Decision Controls, Loops
  • Collections - List, Set, Dictionaries, Tuples
  • Numerical Python - 1 to Multidimensional array and Operations and more.
  • Pandas DataFrames - Intruduction and Operations and more
  • Visual plots such as line, bar, scatter, histogram etc.
  • Matplotlib for basic visualizations to retrieve meaningful insights
  • Seaborn for basic visualizations to retrieve meaningful insights
  • Case Study to visualize meaningful insights
  • Installing anaconda and Launching jupyter
  • and more !
Requirements
  • No programming knowledge required. I'll teach you.
  • You need not be intelligent in mathematics. I'll cover wherever required.
  • You just need computer or mobile phone with internet connection to access course material.
Description

Lets learn basics to transform your career.

I promise not to exhaust you with huge number of videos.


Welcome to the most comprehensive Data Analysis and Insights Visualization course! An excellent choice for beginners and professionals looking to expand their knowledge on one of the most popular Python libraries in the world such as collections, numerical pyhton, matplotlib, seaborn and pandas data frames. This course includes case study for drawing meaningful insights out of given business data.

Start Data Science with Numpy, Pandas, Matplotlib & Seaborn course offers video tutorials on the most powerful data analysis toolkit available today.


Why learn Data Analysis and Insights Visualization using Python?

If you've spent time in a spreadsheet software like Microsoft Excel, Google Sheets or any form of tabular data such as database tables, delimited files or csv files and are eager to take your data analysis skills to the next level using python, this course is for you!

Numerical Python is a powerful library which efficiently performs matrix operations faster and exceed the python capabilities of data processing.

Pandas is a powerhouse tool that allows you to do anything and everything with tabular or columnar data sets -- analyzing, organizing, sorting, filtering, aggregating, cleaning, calculating, and more!

Matplotlib is an amazing visualization library in Python for 2D plots of arrays. Matplotlib is a multi-platform data visualization library built on NumPy arrays. One of the greatest benefits of visualization is that it allows us visual access to huge amounts of data in easily digestible visuals. Matplotlib consists of several plots like line, bar, scatter, histogram etc.

Seaborn is a library for making statistical graphics in Python. It is built on top of matplotlib and closely integrated with pandas data structures.

Whether you're a new data analyst, planning to transit yourself to data analyst role or have spent years in Excel, Data Analysis and Meaningful insights course offers you an incredible introduction to one of the most powerful data tool kits available today!

Who this course is for:
  • Anyone who want to start with Data Science in short period of time.
  • Anyone who want to up skill then into Data Science
  • Managers who want to up skill them for high paying data jobs
  • Production Support Engineers who want to up skill them
  • Beginner python developer curious about data visualization
  • Data analysts, Business Analysts
  • Anyone who want to up skill them for high paying data jobs
Course content
Expand all 32 lectures 03:03:22
+ Python Basics
11 lectures 01:02:11
Data Types and Memory Address
07:48
Type Conversions
03:51
Indentation, Comments and Doc Strings
04:07
Input Output
02:52
Operators
10:08
Decision Control
04:41
While Loop
13:10
For Loop
05:40
+ Collections
2 lectures 07:28
Collections
05:54
Collections Exercise
01:34
+ Numpy Array
6 lectures 44:40
Numpy Array - Topic 1
02:08
Numpy Array - Topic 2
09:45
Numpy Array - Topic 3
02:45
Numpy Array - Topic 4
08:22
Numpy Array - Topic 5
04:29
Numpy Array - Topic 6
17:11
+ Pandas DataFrame
2 lectures 31:21
Pandas DataFrame - Topic 1
13:05
Pandas DataFrame - Topic 2
18:16
+ Matplotlib Visualizations
2 lectures 10:46
Matplotlib - Topic 1
00:18
Matplotlib - Topic 2
10:28
+ Seaborn Visualizations
5 lectures 10:14
Seaborn Library - Topic 1
03:46
Seaborn Library - Topic 2
02:01
Seaborn Library - Topic 3
00:13
Seaborn Library - Topic 4
01:43
Seaborn Library - Topic 5
02:31
+ Case Study - EDA or Insights Visualization
2 lectures 14:34
Dataset and Goal of Analysis
02:30
Exploratory Data Analysis
12:04
+ Exercise
1 lecture 01:39
Dataset and Goal of Exploratory Data Analysis
01:39