Monday, 27 February 2017

90% off #Data Analysis with Python and Pandas – $10

data analysis with Python,Visualize datasets

All Levels,  –   6 hours,  52 lectures 

Average rating 4.0/5 (4.0 (47 ratings) Instead of using a simple lifetime average, Udemy calculates a course’s star rating by considering a number of different factors such as the number of ratings, the age of ratings, and the likelihood of fraudulent ratings.)

Course requirements:

Students should have Python installed
Students should be familiar with the Python programming language, specifically Python 3+

Course description:

Python programmers are some of the most sought-after employees in the tech world, and Python itself is fast becoming one of the most popular programming languages. One of the best applications of Python however is data analysis; which also happens to be something that employers can’t get enough of. Gaining skills in one or the other is a guaranteed way to boost your employability – but put the two together and you’ll be unstoppable!

Become and expert data analyser

Learn efficient python data analysis
Manipulate data sets quickly and easily
Master python data mining
Gain a skillset in Python that can be used for various other applications

Python data analytics made Simple

This course contains 51 lectures and 6 hours of content, specially created for those with an interest in data analysis, programming, or the Python programming language. Once you have Python installed and are familiar with the language, you’ll be all set to go.

The course begins with covering the fundamentals of Pandas (the library of data structures you’ll be using) before delving into the most important functions you’ll need for data analysis; creating and navigating data frames, indexing, visualising, and so on. Next, you’ll get into the more intricate operations run in conjunction with Pandas including data manipulation, logical categorising, statistical functions and applications, and more. Missing data, combining data, working with databases, and advanced operations like resampling, correlation, mapping and buffering will also be covered.

By the end of this course, you’ll have not only have grasped the fundamental concepts of data analysis, but through using Python to analyse and manipulate your data, you’ll have gained a highly specific and much in demand skill set that you can put to a variety of practical used for just about any business in the world.

Tools Used

Python: Python is a general purpose programming language with a focus on readability and concise code, making it a great language for new coders to learn. Learning Python gives a solid foundation for learning more advanced coding languages, and allows for a wide variety of applications.

Pandas: Pandas is a free, open source library that provides high-performance, easy to use data structures and data analysis tools for Python; specifically, numerical tables and time series. If your project involves lots of numerical data, Pandas is for you.

NumPy: Like Pandas, NumPy is another library of high level mathematical functions. The difference with NumPy however is that was specifically created as an extension to the Python programming language, intended to support large multi-dimensional arrays and matrices.

Full details
Input and output data from a variety of data types
Manipulate data sets quickly and efficiently
Visualize datasets
Apply logic to data sets
Combine datasets
Handle for missing and erroneous data

Full details
Those interested in data analysis with Python
People looking for methods to normalize the handling of multiple data types and databases
Those interested in efficient data manipulation
Those brand new to programming or Python should not take this course


“Covers a great deal of good topics but often rushes through. Doesn’t seem to appreciate that what is routine or familiar to the instructor is new to the student. Often doesn’t so much explain as quickly type/copy/run things.” (Marty DiStasio)

“Excellent” (Mark Banford)

“Great course with good pacing and examples” (Linwood Creekmore)



About Instructor:

Stone River eLearning

At Stone River eLearning, technology is all we teach. If you’re interested in programming, development or design – we have it covered.
Check out our huge catalog of courses and join the over 370,000 students currently taking Stone River eLearning courses. We currently offer 100+ different technology training courses on our Stone River eLearning website and are adding new courses on hot and trending topics every month. A subscription option is available for those with a real passion for learning.

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